Home
Search results “Audio and video data mining ppt slides”
Web Mining - Tutorial
 
11:02
Web Mining Web Mining is the use of Data mining techniques to automatically discover and extract information from World Wide Web. There are 3 areas of web Mining Web content Mining. Web usage Mining Web structure Mining. Web content Mining Web content Mining is the process of extracting useful information from content of web document.it may consists of text images,audio,video or structured record such as list & tables. screen scaper,Mozenda,Automation Anywhere,Web content Extractor, Web info extractor are the tools used to extract essential information that one needs. Web Usage Mining Web usage Mining is the process of identifying browsing patterns by analysing the users Navigational behaviour. Techniques for discovery & pattern analysis are two types. They are Pattern Analysis Tool. Pattern Discovery Tool. Data pre processing,Path Analysis,Grouping,filtering,Statistical Analysis, Association Rules,Clustering,Sequential Pattterns,classification are the Analysis done to analyse the patterns. Web structure Mining Web structure Mining is a tool, used to extract patterns from hyperlinks in the web. Web structure Mining is also called link Mining. HITS & PAGE RANK Algorithm are the Popular Web structure Mining Algorithm. By applying Web content mining,web structure Mining & Web usage Mining knowledge is extracted from web data.
Audio Mining Enabler - Presentation
 
02:51
A short presentation of the Audio Mining FIWARE Enabler developed by Fraunhofer IAIS, under the FIcontent project.
Views: 268 FIcontent
What is AUDIOVISUAL? What does AUDIOVISUAL mean? AUDIOVISUAL meaning, definition & explanation
 
04:28
✪✪✪✪✪ WORK FROM HOME! Looking for WORKERS for simple Internet data entry JOBS. $15-20 per hour. SIGN UP here - http://jobs.theaudiopedia.com ✪✪✪✪✪ ✪✪✪✪✪ The Audiopedia Android application, INSTALL NOW - https://play.google.com/store/apps/details?id=com.wTheAudiopedia_8069473 ✪✪✪✪✪ What is AUDIOVISUAL? What does AUDIOVISUAL mean? AUDIOVISUAL meaning - AUDIOVISUAL pronunciation - AUDIOVISUAL definition - AUDIOVISUAL explanation - How to pronounce AUDIOVISUAL? Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ Audiovisual (AV) (less commonly, also called Audio-Visual) means possessing both a sound and a visual component, such as slide-tape presentations, films, television programs, church services and live theater productions. Audiovisual service providers frequently offer web streaming, video conferencing and live broadcast services. Computer-based audiovisual equipment is often used in education, with many schools and universities installing projection equipment and using interactive whiteboard technology. Another audiovisual expression is the visual presentation of sound (visual music). For 95% of the time, residential audiovisual is the considering of in-ceiling speakers, LED dance floors, flat panel TVs, projectors and/or projector screens. It is the percentage of people who are seeking out residential properties that have also installed their audio-visual with the automation components of RTI. This could include lighting, blinds, cinema rooms. The professional audiovisual industry is a multibillion-dollar industry, comprising the manufacturers, dealers, systems integrators, consultants, programmers, presentations professionals and technology managers of audiovisual products and services. Commercial audiovisual can sometimes be a very lengthy process to get it right. Boardroom audio visual can be installed for a number of reasons, but usually it is because the executives of the organization/business wants to have meetings with colleagues/customers/suppliers around the world. When creating an array of boardrooms for customers it has been seen that you have to be able to balance the pattern from the audio and microphone so there is no interruption in the sound quality for the individual/s listening in. The proliferation of audiovisual communications technologies, including sound, video, lighting, display and projection systems, is evident in every sector of society: in business, education, government, the military, healthcare, retail environments, worship, sports and entertainment, hospitality, restaurants, and museums. The application of audiovisual systems is found in collaborative conferencing (which includes video-conferencing, audio-conferencing, web-conferencing and data-conferencing); presentation rooms, auditoriums, and lecture halls; command and control centers; digital signage, and more. Concerts and corporate events are among the most obvious venues where audiovisual equipment is used in a staged environment. Providers of this type of service are known as rental and staging companies, although they may also be served by an in-house technology team (e.g., in a hotel or conference center). According to the a 2006 market forecast study by InfoComm International, the trade association representing the audiovisual industry, 2006 was the fourth consecutive year that significant growth was projected for the industry. Revenue for surveyed North American companies was expected to grow by 40% in 2006, and by 10.7% for European audiovisual companies. The single biggest factor for this increase is the increased demand for networked audiovisual products due to the integration of audiovisual and IT technology. The two leading markets for AV equipment in North America and Europe continue to be business/IT and education, especially as conference room technologies become more advanced. Audiovisual education is instruction where particular attention is paid to the audio and visual presentation of the material, with the goal of improving comprehension and retention.
Views: 11998 The Audiopedia
Data Warehousing and Data Mining
 
09:48
This course aims to introduce advanced database concepts such as data warehousing, data mining techniques, clustering, classifications and its real time applications. SlideTalk video created by SlideTalk at http://slidetalk.net, the online solution to convert powerpoint to video with automatic voice over.
Views: 6494 SlideTalk
Data Structures and Algorithms Complete Tutorial Computer Education for All
 
06:49:24
Computer Education for all provides complete lectures series on Data Structure and Applications which covers Introduction to Data Structure and its Types including all Steps involves in Data Structures:- Data Structure and algorithm Linear Data Structures and Non-Linear Data Structure on Stack Data Structure on Arrays Data Structure on Queue Data Structure on Linked List Data Structure on Tree Data Structure on Graphs Abstract Data Types Introduction to Algorithms Classifications of Algorithms Algorithm Analysis Algorithm Growth Function Array Operations Two dimensional Arrays Three Dimensional Arrays Multidimensional arrays Matrix operations Operations on linked lists Applications of linked lists Doubly linked lists Introductions to stacks Operations on stack Array based implementation of stack Queue Data Structures Operations on Queues Linked list based implementation of queues Application of Trees Binary Trees Types of Binary Trees Implementation of Binary Trees Binary Tree Traversal Preorder Post order In order Binary Search Tree Introduction to Sorting Analysis of Sorting Algorithms Bubble Sort Selection Sort Insertion Sort Shell Sort Heap Sort Merge Sort Quick Sort Applications of Graphs Matrix representation of Graphs Implementations of Graphs Breadth First Search Topological Sorting Subscribe for More https://www.youtube.com/channel/UCiV37YIYars6msmIQXopIeQ Find us on Facebook: https://web.facebook.com/Computer-Education-for-All-1484033978567298 Java Programming Complete Tutorial for Beginners to Advance | Complete Java Training for all https://youtu.be/gg2PG3TwLx4
Deep Learning Methods for Emotion Detection from Text - Dr. Liron Allerhand
 
30:16
Sentiment analysis is an active research field where researchers aim to automatically determine the polarity of text [1], either as a binary problem or as a multi-class problem where multiple levels of positiveness and negativeness are reported. Recently, there is an increasing interest in going beyond sentiment, and analyzing emotions such as happiness, fear, anger, surprise, sadness and others. Emotion detection has many use cases for both enterprises and consumers. The best-known examples are customer service performance monitoring [2], and social media analysis [3]. In this talk, we present a new algorithm based on deep learning, which not only outperforms state-of-the-art method [4] in emotion detection from text, but also automatically decides on length of emotionally-intensive text blocks in a document. Our talk presents the problem by examples, with business motivations related to the Microsoft Cognitive Services suite. We present a technique to capture both semantic and syntactic relationships in sentences using word embeddings and Long Short-Term Memory (LSTM) based modeling. Our algorithm exploits lexical information of emotions to enrich the data representation. We present empirical results based on ISAER and SemEval-2007 datasets [5,6]. We then motivate the problem of detecting emotionally-intensive text blocks of various sizes, along with an entropy-based technique to solve it by determining the granularity on which the emotions model is applied. We conclude with a live demonstration of the algorithm on diverse types of data: interviews, customer service, and social media.
Views: 2096 Data Science Summit
My Master Thesis Presentation and Defense
 
24:54
The presentation was made using "Keynote"
Views: 272209 Adham Elshahabi
Data Science In 5 Minutes | Data Science For Beginners | What Is Data Science? | Simplilearn
 
04:38
This Data Science tutorial video will give you an idea on the life of a Data Scientist, steps involved in Data science project, roles & salary offered to a Data Scientist. Data is everywhere. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. Data Science is basically dealing with unstructured and structured data. Data Science is a field that comprises of everything that is related to data cleansing, preparation, and analysis. In simple terms, it is the umbrella of techniques used when trying to extract insights and information from data. Now, let us get started and understand what is Data Science all about. Below topics are explained in this Data Science tutorial: 1. Life of a Data Scientist 2. Steps in Data Science project - Understanding the business problem - Data acquisition - Data preparation - Exploratory data analysis - Data modeling - Visualization and communication - Deploy & maintenance 3. Roles offered to a Data Scientist 4. Salary of a Data Scientist To learn more about Data Science, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Read the full article here: https://www.simplilearn.com/career-in-data-science-ultimate-guide-article?utm_campaign=What-is-Data-Science-bTTxei-S1WI&utm_medium=Tutorials&utm_source=youtube Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6 #DataScienceWithPython #DataScienceWithR #DataScienceCourse #DataScience #DataScientist #BusinessAnalytics #MachineLearning This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course. Why learn Data Science? Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. Data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data. You can gain in-depth knowledge of Data Science by taking our Data Science with python certification training course. With Simplilearn’s Data Science certification training course, you will prepare for a career as a Data Scientist as you master all the concepts and techniques. Those who complete the course will be able to: 1. Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics. Install the required Python environment and other auxiliary tools and libraries 2. Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions 3. Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO and Weave 4. Perform data analysis and manipulation using data structures and tools provided in the Pandas package 5. Gain expertise in machine learning using the Scikit-Learn package The Data Science with python is recommended for: 1. Analytics professionals who want to work with Python 2. Software professionals looking to get into the field of analytics 3. IT professionals interested in pursuing a career in analytics 4. Graduates looking to build a career in analytics and data science 5. Experienced professionals who would like to harness data science in their fields Learn more at: https://www.simplilearn.com/big-data-and-analytics/python-for-data-science-training?utm_campaign=What-is-Data-Science-X3paOmcrTjQ&utm_medium=Tutorials&utm_source=youtube For more information about Simplilearn’s courses, visit: - Facebook: https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simp... - Website: https://www.simplilearn.com Get the Android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 421848 Simplilearn
Weka Data Mining Tutorial for First Time & Beginner Users
 
23:09
23-minute beginner-friendly introduction to data mining with WEKA. Examples of algorithms to get you started with WEKA: logistic regression, decision tree, neural network and support vector machine. Update 7/20/2018: I put data files in .ARFF here http://pastebin.com/Ea55rc3j and in .CSV here http://pastebin.com/4sG90tTu Sorry uploading the data file took so long...it was on an old laptop.
Views: 480126 Brandon Weinberg
What is an API?
 
03:25
What exactly is an API? Finally learn for yourself in this helpful video from MuleSoft, the API experts. https://www.mulesoft.com/platform/api The textbook definition goes something like this: “An application programming interface (API) is a set of routines, protocols, and tools for building software applications. An API expresses a software component in terms of its operations, inputs, outputs, and underlying types. An API defines functionalities that are independent of their respective implementations, which allows definitions and implementations to vary without compromising each other. A good API makes it easier to develop a program by providing all the building blocks. APIs often come in the form of a library that includes specifications for routines, data structures, object classes, and variables. In other cases, notably SOAP and REST services, an API is simply a specification of remote calls exposed to the API consumers. An API specification can take many forms, including an International Standard, such as POSIX, vendor documentation, such as the Microsoft Windows API, or the libraries of a programming language, e.g., the Standard Template Library in C++ or the Java APIs. An API differs from an application binary interface (ABI) in that an API is source code-based while an ABI is a binary interface. For instance POSIX is an API, while the Linux Standard Base provides an ABI”. To speak plainly, an API is the messenger that runs and delivers your request to the provider you’re requesting it from, and then delivers the response back to you. To give you a familiar example, think of an API as a waiter in a restaurant. Imagine you’re sitting at the table with a menu of choices to order from, and the kitchen is the provider who will fulfill your order. What’s missing is the critical link to communicate your order to the kitchen and deliver your food back to your table. That’s where the waiter (or API) comes in. ”AHEM” The waiter takes your order, delivers it to the kitchen, and then delivers the food (or response) back to you. (Hopefully without letting your order crash if designed correctly) Now that we’ve whetted your appetite, let’s apply this to a real API example. In keeping with our theme, let’s book a flight to a culinary capital – Paris. You’re probably familiar with the process of searching for airline flights online. Just like at a restaurant, you have a menu of options to choose from ( a dropdown menu in this case). You choose a departure city and date, a return city and date, cabin class, and other variables (like meal or seating, baggage or pet requests) In order to book your flight, you interact with the airline’s website to access the airline’s database to see if any seats are available on those dates, and what the cost might be based on certain variables. But, what if you are not using the airline’s website, which has direct access to the information? What if you are using online travel service that aggregates information from many different airlines? Just like a human interacts with the airline’s website to get that information, an application interacts with the airline’s API. The API is the interface that, like your helpful waiter, runs and and delivers the data from that online travel service to the airline’s systems over the Internet. It also then takes the airline’s response to your request and delivers right back to the online travel service . And through each step of the process it facilitates that interaction between the travel service and the airline’s systems - from seat selection to payment and booking. So now you can see that it’s APIs that make it possible for us all to use travel sites. They interface with with airlines’ APIs to gather information in order to present options back to us The same goes for all interactions between applications, data and devices - they all have API’s that allow computers to operate them, and that's what ultimately creates connectivity. API’s provide a standard way of accessing any application, data or device whether it is shopping from your phone, or accessing cloud applications at work. So, whenever you think of an API, just think of it as your waiter running back and forth between applications, databases and devices to deliver data and create the connectivity that puts the world at our fingertips. And whenever you think of creating an API, think MuleSoft.
Views: 2411378 MuleSoft Videos
Data Analytics for Beginners | Introduction to Data Analytics | Data Analytics Tutorial
 
01:27:18
Data Analytics for Beginners -Introduction to Data Analytics https://acadgild.com/big-data/data-analytics-training-certification?utm_campaign=enrol-data-analytics-beginners-THODdNXOjRw&utm_medium=VM&utm_source=youtube Hello and Welcome to data analytics tutorial conducted by ACADGILD. It’s an interactive online tutorial. Here are the topics covered in this training video: • Data Analysis and Interpretation • Why do I need an Analysis Plan? • Key components of a Data Analysis Plan • Analyzing and Interpreting Quantitative Data • Analyzing Survey Data • What is Business Analytics? • Application and Industry facts • Importance of Business analytics • Types of Analytics & examples • Data for Business Analytics • Understanding Data Types • Categorical Variables • Data Coding • Coding Systems • Coding, coding tip • Data Cleaning • Univariate Data Analysis • Statistics Describing a continuous variable distribution • Standard deviation • Distribution and percentiles • Analysis of categorical data • Observed Vs Expected Distribution • Identifying and solving business use cases • Recognizing, defining, structuring and analyzing the problem • Interpreting results and making the decision • Case Study Get started with Data Analytics with this tutorial. Happy Learning For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Views: 287473 ACADGILD
Mining Administrative Data: Identifying and Understanding At-Risk Populations
 
57:02
A version of this video with audio description can be accessed at https://youtu.be/BjT10KsWCOY. In this webinar hosted by James Bell Associates on May 18, 2017, Dr. Dana Weiner discusses strategies for mining administrative data for the purpose of assessing the characteristics and needs of at-risk child welfare populations. Using examples from a federal Permanency Innovations Initiative (PII) grantee in Illinois, Dr. Weiner identifies the key requirements of productive data mining, steps in the data mining process, and useful statistical techniques for analyzing and making sense of administrative data. We accept comments in the spirit of our comment policy: https://www.hhs.gov/web/socialmedia/policies/comment-policy.html
Views: 65 usgovACF
Data Warehouse Tutorial For Beginners | Data Warehouse Concepts | Data Warehousing | Edureka
 
01:38:50
** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ** This Data Warehouse Tutorial For Beginners will give you an introduction to data warehousing and business intelligence. You will be able to understand basic data warehouse concepts with examples. The following topics have been covered in this tutorial: 1. What Is The Need For BI? 2. What Is Data Warehousing? 3. Key Terminologies Related To DWH Architecture: a. OLTP Vs OLAP b. ETL c. Data Mart d. Metadata 4. DWH Architecture 5. Demo: Creating A DWH - - - - - - - - - - - - - - Check our complete Data Warehousing & Business Intelligence playlist here: https://goo.gl/DZEuZt. #DataWarehousing #DataWarehouseTutorial #DataWarehouseTraining Subscribe to our channel to get video updates. Hit the subscribe button above. - - - - - - - - - - - - - - How it Works? 1. This is a 5 Week Instructor led Online Course, 25 hours of assignment and 10 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course: Edureka's Data Warehousing and Business Intelligence Course, will introduce participants to create and work with leading ETL & BI tools like: 1. Talend 5.x to create, execute, monitor and schedule ETL processes. It will cover concepts around Data Replication, Migration and Integration Operations 2. Tableau 9.x for data visualization to see how easy and reliable data visualization can become for representation with dashboards 3. Data Modeling tool ERwin r9 to create a Data Warehouse or Data Mart - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Data warehousing enthusiasts 2. Analytics Managers 3. Data Modelers 4. ETL Developers and BI Developers - - - - - - - - - - - - - - Why learn Data Warehousing and Business Intelligence? All the successful companies have been investing large sums of money in business intelligence and data warehousing tools and technologies. Up-to-date, accurate and integrated information about their supply chain, products and customers are critical for their success. With the advent of Mobile, Social and Cloud platform, today's business intelligence tools have evolved and can be categorized into five areas, including databases, extraction transformation and load (ETL) tools, data quality tools, reporting tools and statistical analysis tools. This course will provide a strong foundation around Data Warehousing and Business Intelligence fundamentals and sophisticated tools like Talend, Tableau and ERwin. - - - - - - - - - - - - - - For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka - - - - - - - - - - - - - - Customer Review: Kanishk says, "Underwent Mastering in DW-BI Course. The training material and trainer are up to the mark to get yourself acquainted to the new technology. Very helpful support service from Edureka."
Views: 290417 edureka!
What is Internet? In Hindi
 
03:00
What is Internet? In Hindi. इन्टरनेट क्या है? हिन्दी में Click here for more tips and tricks information: http://www.aniskhan.in If you are looking for some more information about Internet so here is the beautiful video explaining concept of Internet. Most of the people are using internet frequently but not aware What is Internet or don't know Internet meaning. Internet Means International network of Computers. Here you will come to know What is internet of things in Hindi. Please watch full video to understand meaning of Internet. =================== For new episodes every week, subscribe here! https://www.youtube.com/c/aniskhanmedia Like us on Facebook : https://www.facebook.com/aniskhanmedia Follow us on Twitter: https://twitter.com/aniskhanmedia Find out more about Anis Khan: http://www.aniskhan.in =================== What is Internet? In Hindi
Views: 396351 Anis Khan
How does a blockchain work - Simply Explained
 
06:00
What is a blockchain and how do they work? I'll explain why blockchains are so special in simple and plain English! 💰 Want to buy Bitcoin or Ethereum? Buy for $100 and get $10 free (through my affiliate link): https://www.coinbase.com/join/59284524822a3d0b19e11134 📚 Sources can be found on my website: https://www.savjee.be/videos/simply-explained/how-does-a-blockchain-work/ 🐦 Follow me on Twitter: https://twitter.com/savjee ✏️ Check out my blog: https://www.savjee.be ✉️ Subscribe to newsletter: https://goo.gl/nueDfz 👍🏻 Like my Facebook page: https://www.facebook.com/savjee
Views: 3123293 Simply Explained - Savjee
"Topological Data Analysis for the Working Data Scientist" - Anthony Bak @ Trulia
 
01:13:51
Abstract This meetup is a continuation of the two Introduction to Topological Data Analysis (TDA) meetups done last year. Anthony will begin with a short review of the Mapper algorithm and discuss how to think about problems in the topological framework. Through a series of examples he will show how TDA extends and improves many existing data analysis techniques in both supervised and unsupervised settings, discuss how it can be used to correct machine learning models, and if time permits how it offers the ability to create unique topological models. http://www.meetup.com/Data-Mining/events/171138172/
Views: 12717 SF Data Mining
The CMSR Data Suite
 
02:14
A brief discussion on the CMSR Data Suite Music: Dreams by Joakim Karud https://soundcloud.com/joakimkarud Creative Commons — Attribution-ShareAlike 3.0 Unported— CC BY-SA 3.0 http://creativecommons.org/licenses/b... Music provided by Audio Library https://youtu.be/VF9_dCo6JT4
Views: 73 thepersonwho
What is Bitcoin Mining?
 
01:56
For more information: https://www.bitcoinmining.com and https://www.weusecoins.com What is Bitcoin Mining? Have you ever wondered how Bitcoin is generated? This short video is an animated introduction to Bitcoin Mining. Credits: Voice - Chris Rice (www.ricevoice.com) Motion Graphics - Fabian Rühle (www.fabianruehle.de) Music/Sound Design - Christian Barth (www.akkord-arbeiter.de) Andrew Mottl (www.andrewmottl.com)
Views: 6857552 BitcoinMiningCom
Chi-squared Test
 
11:53
Paul Andersen shows you how to calculate the ch-squared value to test your null hypothesis. He explains the importance of the critical value and defines the degrees of freedom. He also leaves you with a problem related to the animal behavior lab. This analysis is required in the AP Biology classroom. Intro Music Atribution Title: I4dsong_loop_main.wav Artist: CosmicD Link to sound: http://www.freesound.org/people/CosmicD/sounds/72556/ Creative Commons Atribution License
Views: 1487737 Bozeman Science
What is BIGDATA ? - in TAMIL
 
04:30
Defined about the clear view of Bigdata and When a data is said to be Bigdata. What is the use of Bigdata and Why we need to use data analytical processes. Audio : TAMIL
Views: 16524 Class Adviser
The Importance of Being Stationary
 
01:11:43
A PowerPoint presentation of about 60 slides with audio recorded at the original presentation. The presentation discusses the lack of stationarity of financial data and of trading systems, why that matters, and how to develop trading systems that are robust in spite of it. The books mentioned are available on Amazon.
Views: 8860 Howard B
Final Year Projects 2015 | Mining Semantically Consistent Patterns for Cross-View Data
 
14:00
Including Packages ======================= * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/lGybbe Chat Now @ http://goo.gl/snglrO Visit Our Channel: http://www.youtube.com/clickmyproject Mail Us: [email protected]
Views: 267 Clickmyproject
Report 13: 2015-16 Cloud computing audio presentation
 
10:00
This report examines whether Queensland Government departments are using cloud technology to deliver business value while managing the risks.
how to make powerpoint slides in HIndi | ppt कैसे बनायें। ppt kaise banaye
 
09:21
If you want to know how to create power point presentation then u must watch this video , in this video i explain step by step how create ppt. For latest tech help log on to- https://www.youtube.com/channel/UC2roBh4RH5uVY59mh1eo-Sg Join Us On Facebook at below link, https://www.facebook.com/Yourhelpdesk-1833799246892306/ Join Us On Google + at below link, https://plus.google.com/u/0/109679391007643922897 -~-~~-~~~-~~-~- Please watch: "Security tips while using internet and netbanking in your mobile , pc and laptop | Cyber Safety" https://www.youtube.com/watch?v=IIrcC8I7jbI -~-~~-~~~-~~-~-
Views: 723373 Your Help Desk
Introduction to Text Analysis with NVivo 11 for Windows
 
40:02
It’s easy to get lost in a lot of text-based data. NVivo is qualitative data analysis software that provides structure to text, helping you quickly unlock insights and make something beautiful to share. http://www.qsrinternational.com
Views: 156692 NVivo by QSR
Nu-Oil - AGM Presentation 2018
 
36:26
This video is an audio powerpoint of the presentation given at our Annual General Meeting on the 24 January 2018. If you have any further questions, please contact us at [email protected]
Views: 855 Nu-Oil and Gas plc
Block Operations Mining Presentation at U. of South Carolina Mar 28 2018
 
01:19:36
presentation and discussion of cryptocurrency mining. Thanks to ZenChick for recording this session! Slide pictures available at https://blockoperations.com/cryptocurrency-mining-presentation-28-mar-2018-video-and-slides/
Views: 2480 Block Operations
Hazard Identification and Risk Assessment (HIRA) Part-1/3 (Hindi) HD | Safety Training | Team OHSE
 
27:40
Hazard: Anything (e.g. condition, situation, practice, behavior) that has the potential to cause harm, including injury, disease, death, environmental, property and equipment damage. A hazard can be a thing or a situation. Hazard Identification: This is the process of examining each work area and work task for the purpose of identifying all the hazards which are “inherent in the job”. Work areas include but are not limited to machine workshops, laboratories, office areas, agricultural and horticultural environments, stores and transport, maintenance and grounds, reprographics, and lecture theatres and teaching spaces. Tasks can include (but may not be limited to) using screen-based equipment, audio and visual equipment, industrial equipment, hazardous substances and/or teaching/dealing with people, driving a vehicle, dealing with emergency situations, construction. This process is about finding what could cause harm in work task or area. Risk: The likelihood, or possibility, that harm (injury, illness, death, damage etc) may occur from exposure to a hazard. Risk Assessment: Is defined as the process of assessing the risks associated with each of the hazards identified so the nature of the risk can be understood. This includes the nature of the harm that may result from the hazard, the severity of that harm and the likelihood of this occurring. Please Be SAFE & ALERT. Trainer's Name - Mohd. Syeed Siddiqui https://www.linkedin.com/in/mohdsyeeds/ For any business related queries, please contact - [email protected] Like Us on Facebook www.fb.com/teamohse Follow us on Instagram @teamohse
Views: 68393 Team OHSE
Multimedia Answering: Enriching Text QA with Media Information
 
05:09
Existing community question-answering forums usually provide only textual answers. For many questions, however, pure text cannot provide intuitive information as this is better conveyed through image or video. In this invention a scheme to enrich text answers with image and video is introduced. Given a question and the community-contributed answer, this method utilizes several techniques to enrich textual answers like question/answer classification, query generation, image and video search reranking, etc. Different from some efforts that attempt to directly answer questions with image and video data, this method leverages community-contributed textual answers and thus is able to deal more effectively with more complex questions.
Views: 1199 jz00hj
SPSS for Beginners 1: Introduction
 
07:19
Updated video 2018: SPSS for Beginners - Introduction https://youtu.be/_zFBUfZEBWQ This video provides an introduction to SPSS/PASW. It shows how to navigate between Data View and Variable View, and shows how to modify properties of variables.
Views: 1620445 Research By Design
Cable Basic केबल | Electrical Engg In Hindi |
 
11:27
E-book को buy करने के लिए नीचे दिए गए लिंक पर क्लिक करें ↓ Hi! You can pay me with Instamojo, just use this link→ - http://imojo.in/f5rl0n नमस्कार दोस्तों! आज की इस वीडियो में हम लोग Cable Basic केबल देखेंगे ! Keywords: Please Subscribe Our Channel → https://goo.gl/Hj4KJi © Electrical Engg In Hindi Thanks for watching→electricalengginhindi Blog→electricalengginhindi.blogspot.com
Views: 292937 Electrical Engg In Hindi
How to Upload Your Speaking Gig to YouTube | Brighton West Video
 
04:38
Repurpose your presentation to reach a wider online audience https://www.BrightonWestVideo.com/blog/upload-speaking-gig-youtube/ Do you have a video from a speaking event that you would like to upload to YouTube? In this video, I’m going to show you two things: how to upload a video of your talk on YouTube, and how to reformat your video presentation to reach a huge audience of potential clients and customers who are searching for your content. How to upload your speaking gig to YouTube Go To YouTube. Log in to your account Upload your video file. Click on the button with an arrow with a line underneath that says UPLOAD. Choose the file that you want to upload from your computer (.mov/.mp4/or any video file) then drag and drop it over to YouTube. Add details to your video. Give your video a title, description and tags. Choose if you want your video to be Public, Unlisted, or Private. Publish your video. If your talk was captured by a professional video production company where they use multiple cameras, then that’s all you need. But assuming you only have a recording captured by someone in the audience, then you’ll need to reformat your talk into something your online audience will enjoy. How to reformat your presentation for an online audience Break up your talk into smaller pieces. Create two to four minutes of content. Think of your talk as a bunch of answers to your audience’s questions. Write a script for each video in this format: First, repeat the question and let them know that you’re going to answer it. You can throw in a little branding if you wish (not more than five seconds) then share the answer from your talk. Lastly, give the viewer an action item (i.e. ‘share this video’ or ‘leave a comment below’ or ‘visit my website.’) Record the videos on your webcam or smartphone. Record it close enough so that your head is taking up more than half of the screen. People will be watching you on a two-inch tall screen and you want them to recognize who you are. Upload the videos on YouTube. Add titles, tags, descriptions etc. Share your YouTube videos widely. Share it on LinkedIn, your website, your newsletter, etc. Share this video: https://www.youtube.com/watch?v=zAbtjCy2l1U&index=1&list=PLDniYQhMu9z83qYf4e-cor2Qmuc4hFc_o ------------- Playlists: More Tutorials to create better YouTube videos: https://www.youtube.com/playlist?list=PLDniYQhMu9z-zzOJNHg6q5VXiYJmGo5Y- -------------- Do you have questions about creating video online? Leave a message in the comments sections below. Subscribe to get weekly videos: https://www.youtube.com/user/joinsubscribernation?sub_confirmation=1 Connect with me: Twitter http://www.twitter.com/brightonwest LinkedIn http://linkedin.com/in/brightonwest Get a free download of tips for coaches using online video at http://www.BrightonWestVideo.com #VideoMarketing #ContentMarketing #CoachMarketing youtube public speaking training
Views: 808 Brighton West Video
Fire Extinguisher Training - PASS - Fire Safety Training Video
 
02:51
Fire Extinguisher Training - PASS - Fire Safety Training Video The use of a fire extinguisher in the hands of a trained adult can be a life and property saving tool. However, a majority of adults have not had fire extinguisher training and may not know how and when to use them. This short video explains how to properly inspect fire extinguishers. It then covers the P.A.S.S. system for proper, effective fire extinguisher usage. Share this video with your family, friends, relatives, co-workers, employees and people in your community. It provides valuable training in how to use fire extinguishers in an emergency. Remember: The life you save may be your own. For more videos like this one, see our channel: https://www.youtube.com/user/SafetyMemos Never miss a new safety video! Subscribe: http://www.youtube.com/subscription_center?add_user=safetymemos Extinguisher Basics: https://www.osha.gov/SLTC/etools/evacuation/portable_about.html Fire Extinguishers - A FEMA site: http://www.usfa.fema.gov/citizens/home_fire_prev/extinguishers.shtm Extinguisher Placement and Spacing: https://www.osha.gov/SLTC/etools/evacuation/portable_placement.html
Views: 605029 Safety Memos
IEEE 2016:  Video Recommendation with Multimedia Big Data
 
12:43
We are ready to provide guidance to successfully complete your projects and also download the abstract, base paper from our website Note: Voice Video Listen with audio Visit : www.javafirst.in Contact: 73383 45250
Introduction to Database Management Systems 1: Fundamental Concepts
 
01:00:16
This is the first chapter in the web lecture series of Prof. dr. Bart Baesens: Introduction to Database Management Systems. Prof. dr. Bart Baesens holds a PhD in Applied Economic Sciences from KU Leuven University (Belgium). He is currently an associate professor at KU Leuven, and a guest lecturer at the University of Southampton (United Kingdom). He has done extensive research on data mining and its applications. For more information, visit http://www.dataminingapps.com In this lecture, the fundamental concepts behind databases, database technology, database management systems and data models are explained. Discussed topics entail: applications, definitions, file based vs. databased data management approaches, the elements of database systems and the advantages of database design.
Views: 319662 Bart Baesens
IEEE 2016: FiDoop: Parallel Mining of Frequent Itemsets Using MapReduce
 
11:16
We are ready to provide guidance to successfully complete your projects and also download the abstract, base paper from our website Note: Voice Video Listen with audio Visit : www.javafirst.in Contact: 73383 45250
First place approach in Microsoft Malware Classification Challenge (BIG 2015)
 
29:31
This is my remote presentation to the big 2015 conference http://www.www2015.it/big-2015/ for our first place finish in Microsoft Malware Classification Challenge (BIG 2015) https://www.kaggle.com/c/malware-classification I'd like to thank my great teammates Xiaozhou Wang and Xueer Chen.
Views: 8145 jiwei liu
Final Year Projects | Optimization of ECG Classification by Means of Feature Selection
 
09:17
Final Year Projects | Optimization of ECG Classification by Means of Feature Selection More Details: Visit http://clickmyproject.com/a-secure-erasure-codebased-cloud-storage-system-with-secure-data-forwarding-p-128.html Including Packages ======================= * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/lGybbe Chat Now @ http://goo.gl/snglrO Visit Our Channel: http://www.youtube.com/clickmyproject Mail Us: [email protected]
Views: 4897 Clickmyproject
Text as Multimedia Elements
 
05:52
A video my friends and I made for our 'computer and multimedia' subject. Software/Application used: Microsoft Power Point 2010 Windows Live Movie Maker Xtranormal.com Sound recorder
Views: 6276 LoftySublime
Meaning of PowerPoint Presentation
 
23:54
Subject : Office Management and Secretarial Practice Course : Computing Basics and Applications Keyword : SWAYAMPRABHA
IEEE 2016: Protection of Big Data Privacy
 
13:25
We are ready to provide guidance to successfully complete your projects and also download the abstract, base paper from our website Note: Voice Video Listen with audio Visit : www.javafirst.in Contact: 73383 45250
Multimedia Presentation
 
02:13
Here I present a presentation about Multimedia..... without audio......
Views: 46 Gamer Boy
IEEE 2017:A Workflow Management System for Scalable Data Mining on Clouds
 
04:37
We are ready to provide guidance to successfully complete your projects and also download the abstract, base paper from our website Note: Voice Video Listen with audio Visit : www.javafirst.in Contact: 73383 45250
Decision Tree Algorithm With Example | Decision Tree In Machine Learning | Data Science |Simplilearn
 
32:40
This Decision Tree algorithm in Machine Learning tutorial video will help you understand all the basics of Decision Tree along with what is Machine Learning, problems in Machine Learning, what is Decision Tree, advantages and disadvantages of Decision Tree, how Decision Tree algorithm works with solved examples and at the end we will implement a Decision Tree use case/ demo in Python on loan payment prediction. This Decision Tree tutorial is ideal for both beginners as well as professionals who want to learn Machine Learning Algorithms. Below topics are covered in this Decision Tree Algorithm Tutorial: 1. What is Machine Learning? ( 02:25 ) 2. Types of Machine Learning? ( 03:27 ) 3. Problems in Machine Learning ( 04:43 ) 4. What is Decision Tree? ( 06:29 ) 5. What are the problems a Decision Tree Solves? ( 07:11 ) 6. Advantages of Decision Tree ( 07:54 ) 7. How does Decision Tree Work? ( 10:55 ) 8. Use Case - Loan Repayment Prediction ( 14:32 ) What is Machine Learning: Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=Decision-Tree-Algorithm-With-Example-RmajweUFKvM&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Machine Learning, check our Machine Learning certification training course: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Decision-Tree-Algorithm-With-Example-RmajweUFKvM&utm_medium=Tutorials&utm_source=youtube #MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse - - - - - - - - About Simplilearn Machine Learning course: A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning. - - - - - - - Why learn Machine Learning? Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period. - - - - - - What skills will you learn from this Machine Learning course? By the end of this Machine Learning course, you will be able to: 1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling. 2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project. 3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning. 4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more. 5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems - - - - - - - Who should take this Machine Learning Training Course? We recommend this Machine Learning training course for the following professionals in particular: 1. Developers aspiring to be a data scientist or Machine Learning engineer 2. Information architects who want to gain expertise in Machine Learning algorithms 3. Analytics professionals who want to work in Machine Learning or artificial intelligence 4. Graduates looking to build a career in data science and Machine Learning - - - - - - For more updates on courses and tips follow us on: - Facebook: https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the Android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 61137 Simplilearn
Lecture - 30 Introduction to Data Warehousing and OLAP
 
57:50
Lecture Series on Database Management System by Dr.S.Srinath, IIIT Bangalore. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 213024 nptelhrd
Text Mining for Beginners
 
07:30
This is a brief introduction to text mining for beginners. Find out how text mining works and the difference between text mining and key word search, from the leader in natural language based text mining solutions. Learn more about NLP text mining in 90 seconds: https://www.youtube.com/watch?v=GdZWqYGrXww Learn more about NLP text mining for clinical risk monitoring https://www.youtube.com/watch?v=SCDaE4VRzIM
Views: 79616 Linguamatics
Ethical and Security Issues in Social Media
 
08:30
Title of Project/Presentation: Ethical and Security Issues in Social Media Individual Subtopic: Social Media Security Abstract of Presentation/Paper: This paper discusses the various ethical and security issues that have arisen from the global increase in use of social media websites. The individual issues are identified and assessed using Utilitarian and Kantian perspectives of ethics. These issues are then taken into a global context and the worldwide impacts of social media are discussed. Description of tools and techniques used to create the presentation: Audacity -- Record narration, edit audio, mix with background music PowerPoint -- Create slides, time animations with narration, export video
Views: 2021 Charles Benitez
Multimedia Data Hiding
 
02:35
Hiding data in multimedia files for use in CFDI270.
Views: 96 Ric Messier