Take the Full Course of Artificial Intelligence What we Provide 1) 28 Videos (Index is given down) 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in Artificial Intelligence Sample Notes : https://goo.gl/aZtqjh To buy the course click https://goo.gl/H5QdDU if you have any query related to buying the course feel free to email us : [email protected] Other free Courses Available : Python : https://goo.gl/2gftZ3 SQL : https://goo.gl/VXR5GX Arduino : https://goo.gl/fG5eqk Raspberry pie : https://goo.gl/1XMPxt Artificial Intelligence Index 1)Agent and Peas Description 2)Types of agent 3)Learning Agent 4)Breadth first search 5)Depth first search 6)Iterative depth first search 7)Hill climbing 8)Min max 9)Alpha beta pruning 10)A* sums 11)Genetic Algorithm 12)Genetic Algorithm MAXONE Example 13)Propsotional Logic 14)PL to CNF basics 15) First order logic solved Example 16)Resolution tree sum part 1 17)Resolution tree Sum part 2 18)Decision tree( ID3) 19)Expert system 20) WUMPUS World 21)Natural Language Processing 22) Bayesian belief Network toothache and Cavity sum 23) Supervised and Unsupervised Learning 24) Hill Climbing Algorithm 26) Heuristic Function (Block world + 8 puzzle ) 27) Partial Order Planing 28) GBFS Solved Example
Views: 224192 Last moment tuitions
Web Ninja Jon shows you how to extract table data from any website in under three minutes using CloudScrape. If you have any questions visit our website. http://WebDeveloperNinja.com
Views: 981 Web Developer Ninja
An ROC curve is the most commonly used way to visualize the performance of a binary classifier, and AUC is (arguably) the best way to summarize its performance in a single number. As such, gaining a deep understanding of ROC curves and AUC is beneficial for data scientists, machine learning practitioners, and medical researchers (among others). SUBSCRIBE to learn data science with Python: https://www.youtube.com/dataschool?sub_confirmation=1 JOIN the "Data School Insiders" community and receive exclusive rewards: https://www.patreon.com/dataschool RESOURCES: - Transcript and screenshots: https://www.dataschool.io/roc-curves-and-auc-explained/ - Visualization: http://www.navan.name/roc/ - Research paper: http://people.inf.elte.hu/kiss/13dwhdm/roc.pdf LET'S CONNECT! - Newsletter: https://www.dataschool.io/subscribe/ - Twitter: https://twitter.com/justmarkham - Facebook: https://www.facebook.com/DataScienceSchool/ - LinkedIn: https://www.linkedin.com/in/justmarkham/
Views: 297889 Data School
Introduction to how gains and lift can be applied to a direct marketing application. Score the sample dataset and plot the Gains curve. Define: base rate and lift. Similarities and differences between ROC and Gains curve. http://www.salford-systems.com
Views: 22254 Salford Systems
Download workbook: http://people.highline.edu/mgirvin/ExcelIsFun.htm Learn the basics of Data Analysis at Highline Community College Professional Development Day 2012: Topics in Video: 1. What is Data Analysis? ( 00:53 min mark) 2. How Data Must Be Setup ( 02:53 min mark) Sort: 3. Sort with 1 criteria ( 04:35 min mark) 4. Sort with 2 criteria or more ( 06:27 min mark) 5. Sort by color ( 10:01 min mark) Filter: 6. Filter with 1 criteria ( 11:26 min mark) 7. Filter with 2 criteria or more ( 15:14 min mark) 8. Filter by color ( 16:28 min mark) 9. Filter Text, Numbers, Dates ( 16:50 min mark) 10. Filter by Partial Text ( 20:16 min mark) Pivot Tables: 11. What is a PivotTable? ( 21:05 min mark) 12. Easy 3 step method, Cross Tabulation ( 23:07 min mark) 13. Change the calculation ( 26:52 min mark) 14. More than one calculation ( 28:45 min mark) 15. Value Field Settings (32:36 min mark) 16. Grouping Numbers ( 33:24 min mark) 17. Filter in a Pivot Table ( 35:45 min mark) 18. Slicers ( 37:09 min mark) Charts: 19. Column Charts from Pivot Tables ( 38:37 min mark) Formulas: 20. SUMIFS ( 42:17 min mark) 21. Data Analysis Formula or PivotTables? ( 45:11 min mark) 22. COUNTIF ( 46:12 min mark) 23. Formula to Compare Two Lists: ISNA and MATCH functions ( 47:00 min mark) Getting Data Into Excel 24. Import from CSV file ( 51:21 min mark) 25. Import from Access ( 54:00 min mark) Highline Community College Professional Development Day 2012 Buy excelisfun products: https://teespring.com/stores/excelisfun-store
Views: 1551338 ExcelIsFun
My web page: www.imperial.ac.uk/people/n.sadawi
Views: 46527 Noureddin Sadawi
This tutorial is an introduction to hash tables. A hash table is a data structure that is used to implement an associative array. This video explains some of the basic concepts regarding hash tables, and also discusses one method (chaining) that can be used to avoid collisions. Wan't to learn C++? I highly recommend this book http://amzn.to/1PftaSt Donate http://bit.ly/17vCDFx STILL NEED MORE HELP? Connect one-on-one with a Programming Tutor. Click the link below: https://trk.justanswer.com/aff_c?offer_id=2&aff_id=8012&url_id=238 :)
Views: 786351 Paul Programming
Data Desk is sometimes thought of as that clever little program that does those interactive graphics. But there’s muscle under the hood. Here’s a little demo that exercises Data Desk’s computing power to analyze and display 10,000,000 cases. On an older Macintosh computer. In real time. Enjoy!
Views: 141 DataDeskTrainer
In this video you will learn about the different performance matrix used for model evaludation such as Receiver Operating Charateristics, Confusion matrix, Accuracy. This is used very well in evauating classfication models like deicision tree, Logistic regression, SVM ANalytics Study Pack : https://analyticuniversity.com Analytics University on Twitter : https://twitter.com/AnalyticsUniver Analytics University on Facebook : https://www.facebook.com/AnalyticsUniversity Logistic Regression in R: https://goo.gl/S7DkRy Logistic Regression in SAS: https://goo.gl/S7DkRy Logistic Regression Theory: https://goo.gl/PbGv1h Time Series Theory : https://goo.gl/54vaDk Time ARIMA Model in R : https://goo.gl/UcPNWx Survival Model : https://goo.gl/nz5kgu Data Science Career : https://goo.gl/Ca9z6r Machine Learning : https://goo.gl/giqqmx Data Science Case Study : https://goo.gl/KzY5Iu Big Data & Hadoop & Spark: https://goo.gl/ZTmHOA
Views: 16902 Big Edu
Time series motifs are approximately repeated patterns found within the data. Such motifs have utility for many data mining algorithms, including rule-discovery, novelty-detection, summarization and clustering. In this video we demonstrate that when looking for time series motifs one needs to account for uniform scaling, the speed at which the patterns develop.
Views: 934 dyankov
How to Scrape Data From the Web Using Google Spreadsheet
Views: 138324 gu_productions
A quick video to understand standard Datawarehouse architecture. It consists of following layers 1. Data Source layer 2. ETL 3. Staging Area 4. Datawarehouse - Metadata, Summary and Raw Data 5. OLAP, Reporting and Data Mining Data warehouse is populated from multiple sources for an organisation. All these source system comes under Data Source layer. Some of the source systems are listed below: 1. Operations Systems -- such as Sales, HR, Inventory relational database. 2. ERP (SAP) and CRM (SalesForce.com) Systems. 3. Web server logs and Internal market research data. 4. Third-party data - such as census data, demographics data, or survey data. ETL Tools: Talend Open Studio, Jaspersoft ETL, Ab initio, Informatica, Datastage, Clover ETL, Pentaho ETL, Kettle For more details visit http://www.vikramtakkar.com/2015/09/data-warehouse-architecture-overview.html Datawarehouse Playlist: https://www.youtube.com/playlist?list=PLJ4bGndMaa8FV7nrvKXeHCLRMmIXVCyOG
Views: 89788 Vikram Takkar
Learn how to find the median of a continuous frequency distribution from this video. To view more Educational content, please visit: https://www.youtube.com/appuseriesacademy To view Nursery Rhymes, please visit: https://www.youtube.com/appuseries To view Content in other Languages, please visit: www.youtube.com/appuseries + "Language". For Example for Hindi content: www.youtube.com/appuserieshindi To Buy Books and CDs, please visit : https://www.appuseries.com
Views: 235299 AppuSeriesAcademy
Includes an example with, - logistic regression model - confusion matrix - misclassification rate - rocr package - accuracy versus cutoff curve - identifying best cutoff values for best accuracy - roc curve - true positive rate (tpr) or sensitivity - false positive rate (fpr) or '1-specificity' - area under curve (auc) Machine Learning videos: https://goo.gl/WHHqWP roc curve is an important model evaluation tool related to analyzing big data or working in data science field. R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
Views: 42579 Bharatendra Rai
Coding with Python -- Scrape Websites with Python + Beautiful Soup + Python Requests Scraping websites for data is often a great way to do research on any given idea. This tutorial takes you through the steps of using the Python libraries Beautiful Soup 4 (http://www.crummy.com/software/BeautifulSoup/bs4/doc/#) and Python Requests (http://docs.python-requests.org/en/latest/). Reference code available under "Actions" here: https://codingforentrepreneurs.com/projects/coding-python/scrape-beautiful-soup/ Coding for Python is a series of videos designed to help you better understand how to use python. Assumes basic knowledge of python. View all my videos: http://bit.ly/1a4Ienh Join our Newsletter: http://eepurl.com/NmMcr A few ways to learn Django, Python, Jquery, and more: Coding For Entrepreneurs: https://codingforentrepreneurs.com (includes free projects and free setup guides. All premium content is just $25/mo). Includes implementing Twitter Bootstrap 3, Stripe.com, django, south, pip, django registration, virtual environments, deployment, basic jquery, ajax, and much more. On Udemy: Bestselling Udemy Coding for Entrepreneurs Course: https://www.udemy.com/coding-for-entrepreneurs/?couponCode=youtubecfe49 (reg $99, this link $49) MatchMaker and Geolocator Course: https://www.udemy.com/coding-for-entrepreneurs-matchmaker-geolocator/?couponCode=youtubecfe39 (advanced course, reg $75, this link: $39) Marketplace & Dail Deals Course: https://www.udemy.com/coding-for-entrepreneurs-marketplace-daily-deals/?couponCode=youtubecfe39 (advanced course, reg $75, this link: $39) Free Udemy Course (80k+ students): https://www.udemy.com/coding-for-entrepreneurs-basic/ Fun Fact! This Course was Funded on Kickstarter: http://www.kickstarter.com/projects/jmitchel3/coding-for-entrepreneurs
Views: 411731 CodingEntrepreneurs
The experiment database for machine learning - http://expdb.cs.kuleuven.be - allows you to browse the results of millions of data mining experiments, with hundreds of data mining algorithms. This tutorial video explains how to use the graphical query interface and simple visualizations.
Views: 971 Joaquin Vanschoren
Step-by-step instructions for calculating the correlation coefficient (r) for sample data, to determine in there is a relationship between two variables.
Views: 467592 Eugene O'Loughlin
Tutorial on calculating the standard deviation and variance for statistics class. The tutorial provides a step by step guide. Like us on: http://www.facebook.com/PartyMoreStudyLess Related Videos: How to Calculate Mean and Standard Deviation Using Excel http://www.youtube.com/watch?v=efdRmGqCYBk Why are degrees of freedom (n-1) used in Variance and Standard Deviation http://www.youtube.com/watch?v=92s7IVS6A34 Playlist of z scores http://www.youtube.com/course?list=EC6157D8E20C151497 David Longstreet Professor of the Universe Like us on: http://www.facebook.com/PartyMoreStudyLess Professor of the Universe: David Longstreet http://www.linkedin.com/in/davidlongstreet/ MyBookSucks.Com
Views: 1662680 statisticsfun
This StatQuest focuses on the machine learning topic "Decision Trees". Decision trees are a simple way to convert a table of data that you have sitting around your desk into a means to predict and classify new data as it comes. For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider a StatQuest t-shirt or sweatshirt... https://teespring.com/stores/statquest ...or buying one or two of my songs (or go large and get a whole album!) https://joshuastarmer.bandcamp.com/
Views: 55708 StatQuest with Josh Starmer
Also called Classification and Regression Trees (CART) or just trees. R file: https://goo.gl/Kx4EsU Data file: https://goo.gl/gAQTx4 Includes, - Illustrates the process using cardiotocographic data - Decision tree and interpretation with party package - Decision tree and interpretation with rpart package - Plot with rpart.plot - Prediction for validation dataset based on model build using training dataset - Calculation of misclassification error Decision trees are an important tool for developing classification or predictive analytics models related to analyzing big data or data science. R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
Views: 53771 Bharatendra Rai
Spatial Analysis means to manipulate geographic data to extract new meaningful information. Interpolation is one of such geostatistical methods in which we use known values at sampled points to generate a continuous surface giving us prediction of values at unknown points. IDW is an interpolation technique in which values of cells are predicted by averaging known point values while processing each neighborhood cell. Points which are closer to the estimated cell have more weightage in the averages. IDW is preferred over Kriging in situations when sampled points are densely distributed over the surface. How to perform Spatial Interpolation in ArcGIS: 1. Open ArcGIS. 2. Add XY data in ArcMap. In this case, we have an Excel spreadsheet of Monthly Average Precipitation Data in .XLS format. 3. Convert XY data to Shapefile (.shp format). 4. Add boundary over data. 5. Select points which lie within the boundary. 6. Export selected points to new Shapefile. 7. Search for the IDW tool within the Interpolation toolset inside Spatial Analyst toolbox. 8. Choose the column of known point values as Z value field. 9. Mask the output of Raster Analysis to the given boundary in the Environments Settings. The Interpolated surface is obtained which can also be exported as a Raster Dataset for further analysis.
Views: 60669 Geospatial Geeks
BTConline.io Free Bitcoin Cloud Mining Site Legit Or Scam Live Withdrawal Payment Proof Urdu Hindi Hi Everyone Today i Tell You About New Free Bitcoin Cloud Mining site #btconline its totally free #bitcoin #mining #freebtc site Hope you like it in this video i tell you its legit or scam. Website Joining link Here: https://btconline.io/67184 Watch Full video Here: BTConline.io Free Bitcoin Cloud Mining Site Legit Or Scam Live Withdrawal Payment Proof Urdu Hindi https://youtu.be/A_rfSxQ5m9k The Minimum Withdraw is 0.006 Bitcoin. Want to earn much more? Just upgrade your plan and earn up to 0.0797 per day more than you earning now! Welcome to leading Bitcoin mining pool Earn up to 30.000 Satoshi per day for FREE Choose your plan and start earning much more Our service make Bitcoin mining absolitely easy for every person! You don't need to buy expensive equipment and loose your time to configure mining servers - just select Bitcoin mining plan and start to earn right now! Real Time Payouts This table shows real-time payouts to our customers. Just order Bitcoin mining plan and join to successful people who earned money on the top of nowadays technology! Invite your friends and get 10% each time they upgrade You can also upgrade your plan to increase affiliate rate up to 40% Wish to help your friends to earn money easely as you? Not a big deal! You always can tell them about our service for Bitcoin mining. But stop! Any of your friends who register with your special url and order any Bitcoin mining plan will make profit not just for himself - you will also get bonus for your recommendation. BTConline is an industry leading Bitcoin mining pool. All of the mining power is backed up by physical miners. Mining with the latest algorithms allows to make as much Bitcoin as possible. We aim to provide you with the easiest possible way to make money without having to do any of the hard stuff. With data centers around the globe, we aim to keep bills down and mining power high, meaning you can make more in a shorter amount of time than what it would take to mine from your home for instance. Our data centers are located in Europe, USA and China with dedicated Up-Links and 99% uptime! You can generate 0.0003 BTC every day without investments. You can also upgrade your BTConline to generate up to 0.08000000 BTC every day. Withdrawal applications are generally processed instantly, in rare cases withdrawals can be processed manually and take longer. I am not the owner of any content which i used in my video, All Resource Like pictures And Video from Google or any other helpful site which help us to explain our video nicely or deeply, so i credit to my all work to Google or other helpful sites, If i used any others content then i will definitely credit to him , thanks i hope all Owners understand to me if i used some content in my video, Thanks again to all Owners. ► Follow me On social media: ➜ ► Facebook:➜ https://web.facebook.com/arslannasir86/ ►Twitter:➜ https://twitter.com/arslannasir9999 ► Instagram:➜ https://www.instagram.com/arslannasir9999/ ► Steemit:➜ https://steemit.com/@arslannasir9090 DISCLAIMER: This Channel DOES NOT Promote or encourage Any illegal activities , all contents provided by This Channel is meant for EDUCATIONAL PURPOSE only . (#Arslan_Nasir) Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. About: #Arslan_Nasir is the channel where you can find all the best videos, Earning tutorials, Best Apps reviews, Free internet, And More about Technology. Channel owner: #Arslan_Nasir
Views: 381 Arslan Nasir Official
Learn to use Google Forms to collect data from specific people by sharing the link on email or on social media. It is a 3 step process that starts with creation of form and then next step is to distribute it to the audience and third step is to collect the data. All the three steps to use Google form have been explained in this tutorial. Share this video:http://youtu.be/s94fL4g0riI common use of various question types in Google forms is given below - Text — Respondents provide short answers Paragraph text — Use this for long answers Multiple choice — Respondents select one option from among several Checkboxes — select as many options from checkboxes. Choose from a list — respondents select one option from a dropdown menu Scale — rank something along a scale of numbers (e.g., from 1 to 5) Grid — respondents select a point from a two-dimensional grid Date — People filling the form can use a calendar picker to enter a date Time — respondents select a time (either a time of day or a duration of time) You can plan events, make a survey, give quiz to students or simply collect any data on Google Forms. It can save you from lot of physical effort as the collected data automatically gets saved in the linked spreadsheet.You can insert an image or video on Google forms and also set a customize theme for your form. Google forms is a gem in the Google docs, that's free to use and has a powerful tools like regular expressions that help to validate the data.Currently, only Text, Paragraph text, Check boxes, and Grid questions have support for validation. This video tutorial also covers certain Frequently asked questions given below- Can I capture respondents email address automatically? Can I receive notification on email every time a form is submitted? Can i send a personal thank you message to the respondents? Can i use Capcha on Google Form? Harish Bali is the creator of this video, he is a social media expert and an SEO. ............................................................................................... Learn to use Regular expressions in Google forms: https://support.google.com/docs/answer/3378864?hl=en Learn useful regular expressions for data validation by Labnol.org: http://www.labnol.org/internet/regular-expressions-forms/28380/ You can watch my other video on: How to use mail merge in gmail: https://www.youtube.com/watch?v=skrGMoq_TRA How to use Google drive to share files: https://www.youtube.com/watch?v=Itn3WIhQ6NQ Follow us: Blog on Tech Guide: http://www.technofare.com/ Google Plus Technofare : https://plus.google.com/+Technofareblog/posts Google Plus Harish Bali: https://plus.google.com/+harishBali/posts Facebook: https://www.facebook.com/technofare?ref=bookmarks Subscribe to Channel: https://www.youtube.com/user/Technofare Hope you found the detailed tutorial on how to use Google forms to collect data useful. Do share it with your friends on social media.
Views: 228948 Technofare
Hey guys! In this episode we work on getting an Enchanting table, Explore a bit, and tackle that Guardian Temple! Minecraft Down Under PlayList http://goo.gl/W96HT2 Data's Website http://www.dataless822.net Data's Twitch www.twitch.tv/Dataless822 Data's Twitter https://twitter.com/Dataless822 Data's Facebook http://goo.gl/qhNvkZ World Download Link -Coming Soon- World Seed Unavailable at this time. Sorry guys no ones getting the seed until the first world download...you can thank all those people that spoiled my first lets play by telling me where everything was. Data's FAQs pc specs,recording software,age, ect, hhttp://goo.gl/cD9446 Plotz voxel sphere & ellipsoid guide http://www.plotz.co.uk/plotz.php Texture Pack / Resource pack: is my own and its called "Datacraft" http://goo.gl/e3beSZ Intro Music Carousel - Let's Go Home (Sound Remedy Remix) http://goo.gl/7bMdDD Outro Music "Hope" by Tobu is released on NoCopyrightSounds, the record label dedicated to releasing free music which can be freely used in media creations.http://goo.gl/ryJIX9 Special Thanks to our Animator Tewtiy Please check him out leave him a Thanks and Subscribe http://goo.gl/aZ3Koc
Views: 32246 Dataless822
*** IMPROVED VERSION of this video here: https://youtu.be/tDLcBrLzBos I describe the standard normal distribution and its properties with respect to the percentage of observations within each standard deviation. I also make reference to two key statistical demarcation points (i.e., 1.96 and 2.58) and their relationship to the normal distribution. Finally, I mention two tests that can be used to test normal distributions for statistical significance. normal distribution, normal probability distribution, standard normal distribution, normal distribution curve, bell shaped curve
Views: 1079825 how2stats
Cambridge Analytica improperly obtained data from as many as 50 million people. That's put Mark Zuckerberg on the defensive. The Verge's Silicon Valley editor Casey Newton reports. Subscribe: https://goo.gl/G5RXGs Check out our full video catalog: https://goo.gl/lfcGfq Visit our playlists: https://goo.gl/94XbKx Like The Verge on Facebook: https://goo.gl/2P1aGc Follow on Twitter: https://goo.gl/XTWX61 Follow on Instagram: https://goo.gl/7ZeLvX Read More: http://www.theverge.com
Views: 612828 The Verge
First things first a MASSIVE shout out to my top 2 donators of this month ELEKTRONIC & MightyX117..... You 2 are AMAZING, I cannot thank you enough for your support Ok lets get down to business. In tonight's mining livestream, we chinwag with the fans about upgrading the chicken farm, thumbs downing comments and people thinking I have removed them and we touch more on colours. OH and I can't forget our new mate "Emerald Zombie" Lol thanks for the "troll" Aeare hahahaha Missed an episode Of MDU S2? The Playlist here! https://goo.gl/b8zvJd Missed a Live Stream Of MDU S2? The Playlist here! https://goo.gl/2PC2BN The Mob Bob Farm https://www.youtube.com/watch?v=E76Y6beelXc Data's Official Minecraft Server! https://goo.gl/0PT3dJ Data's Website http://www.dataless822.net Data's Twitch www.twitch.tv/Dataless822 Data's Twitter https://twitter.com/Dataless822 Data's Facebook http://goo.gl/qhNvkZ World Download Link -Coming Soon- World Seed -Coming Soon- Data's P.O BOX https://goo.gl/2CeDvP Wanna Donate to Data? http://goo.gl/HWbuCm Plotz voxel sphere & ellipsoid guide http://www.plotz.co.uk/plotz.php Texture Pack / Resource pack https://goo.gl/vheE0P Intro Music Carousel - Let's Go Home (Sound Remedy Remix) http://goo.gl/7bMdDD Outro Music "Hope" by Tobu is released on NoCopyrightSounds, the record label dedicated to releasing free music which can be freely used in media creations.http://goo.gl/ryJIX9 Special Thanks to our Animator Tewtiy Please check him out leave him a Thanks and Subscribe http://goo.gl/aZ3Koc
Views: 1711 Dataless822
It covers in details the meaning of Multiple Regression, various methods of framing Multiple Regression Equations and Standard Error of Estimate in Multiple Regression. Lecture by: Prof. Rajinder Kumar Arora, Head of Department (Commerce & Management)
Views: 35880 Dr. B. R. Ambedkar Govt. College Kaithal
Mining Financial Modeling & Valuation Course - Tutorial | Corporate Finance Institute Enroll in our Full Course to earn a certificate and advance your career: http://courses.corporatefinanceinstitute.com/courses/mining-industry-financial-model-valuation Master the art of building a financial model for a mining asset, complete with assumptions, financials, valuation, sensitivity analysis, and output charts. In this course we will work through a case study of a real mining asset by pulling information from the Feasibility Study, inputting it into Excel, building a forecast, and valuing the asset. -- FREE COURSES & CERTIFICATES -- Enroll in our FREE online courses and earn industry-recognized certificates to advance your career: ► Introduction to Corporate Finance: https://courses.corporatefinanceinstitute.com/courses/introduction-to-corporate-finance ► Excel Crash Course: https://courses.corporatefinanceinstitute.com/courses/free-excel-crash-course-for-finance ► Accounting Fundamentals: https://courses.corporatefinanceinstitute.com/courses/learn-accounting-fundamentals-corporate-finance ► Reading Financial Statements: https://courses.corporatefinanceinstitute.com/courses/learn-to-read-financial-statements-free-course ► Fixed Income Fundamentals: https://courses.corporatefinanceinstitute.com/courses/introduction-to-fixed-income -- ABOUT CORPORATE FINANCE INSTITUTE -- CFI is a leading global provider of online financial modeling and valuation courses for financial analysts. Our programs and certifications have been delivered to thousands of individuals at the top universities, investment banks, accounting firms and operating companies in the world. By taking our courses you can expect to learn industry-leading best practices from professional Wall Street trainers. Our courses are extremely practical with step-by-step instructions to help you become a first class financial analyst. Explore CFI courses: https://courses.corporatefinanceinstitute.com/collections -- JOIN US ON SOCIAL MEDIA -- LinkedIn: https://www.linkedin.com/company/corporate-finance-institute-cfi- Facebook: https://www.facebook.com/corporatefinanceinstitute.cfi Instagram: https://www.instagram.com/corporatefinanceinstitute Google+: https://plus.google.com/+Corporatefinanceinstitute-CFI YouTube: https://www.youtube.com/c/Corporatefinanceinstitute-CFI
Views: 24442 Corporate Finance Institute
Full lecture: http://bit.ly/D-Tree Which attribute do we select at each step of the ID3 algorithm? The attribute that results in the most pure subsets. We can measure purity of a subset as the entropy (degree of uncertainty) about the class within the subset.
Views: 178605 Victor Lavrenko
This video reviews the scales of measurement covered in introductory statistics: nominal, ordinal, interval, and ratio (Part 1 of 2). Scales of Measurement Nominal, Ordinal, Interval, Ratio YouTube Channel: https://www.youtube.com/user/statisticsinstructor Subscribe today! Lifetime access to SPSS videos: http://tinyurl.com/m2532td Video Transcript: In this video we'll take a look at what are known as the scales of measurement. OK first of all measurement can be defined as the process of applying numbers to objects according to a set of rules. So when we measure something we apply numbers or we give numbers to something and this something is just generically an object or objects so we're assigning numbers to some thing or things and when we do that we follow some sort of rules. Now in terms of introductory statistics textbooks there are four scales of measurement nominal, ordinal, interval, and ratio. We'll take a look at each of these in turn and take a look at some examples as well, as the examples really help to differentiate between these four scales. First we'll take a look at nominal. Now in a nominal scale of measurement we assign numbers to objects where the different numbers indicate different objects. The numbers have no real meaning other than differentiating between objects. So as an example a very common variable in statistical analyses is gender where in this example all males get a 1 and all females get a 2. Now the reason why this is nominal is because we could have just as easily assigned females a 1 and males a 2 or we could have assigned females 500 and males 650. It doesn't matter what number we come up with as long as all males get the same number, 1 in this example, and all females get the same number, 2. It doesn't mean that because females have a higher number that they're better than males or males are worse than females or vice versa or anything like that. All it does is it differentiates between our two groups. And that's a classic nominal example. Another one is baseball uniform numbers. Now the number that a player has on their uniform in baseball it provides no insight into the player's position or anything like that it just simply differentiates between players. So if someone has the number 23 on their back and someone has the number 25 it doesn't mean that the person who has 25 is better, has a higher average, hits more home runs, or anything like that it just means they're not the same playeras number 23. So in this example its nominal once again because the number just simply differentiates between objects. Now just as a side note in all sports it's not the same like in football for example different sequences of numbers typically go towards different positions. Like linebackers will have numbers that are different than quarterbacks and so forth but that's not the case in baseball. So in baseball whatever the number is it provides typically no insight into what position he plays. OK next we have ordinal and for ordinal we assign numbers to objects just like nominal but here the numbers also have meaningful order. So for example the place someone finishes in a race first, second, third, and so on. If we know the place that they finished we know how they did relative to others. So for example the first place person did better than second, second did better than third, and so on of course right that's obvious but that number that they're assigned one, two, or three indicates how they finished in a race so it indicates order and same thing with the place finished in an election first, second, third, fourth we know exactly how they did in relation to the others the person who finished in third place did better than someone who finished in fifth let's say if there are that many people, first did better than third and so on. So the number for ordinal once again indicates placement or order so we can rank people with ordinal data. OK next we have interval. In interval numbers have order just like ordinal so you can see here how these scales of measurement build on one another but in addition to ordinal, interval also has equal intervals between adjacent categories and I'll show you what I mean here with an example. So if we take temperature in degrees Fahrenheit the difference between 78 degrees and 79 degrees or that one degree difference is the same as the difference between 45 degrees and 46 degrees. One degree difference once again. So anywhere along that scale up and down the Fahrenheit scale that one degree difference means the same thing all up and down that scale. OK so if we take eight degrees versus nine degrees the difference there is one degree once again. That's a classic interval scale right there with those differences are meaningful and we'll contrast this with ordinal in just a few moments but finally before we do let's take a look at ratio.
Views: 355727 Quantitative Specialists
Our Excel training videos on YouTube cover formulas, functions and VBA. Useful for beginners as well as advanced learners. New upload every Thursday. For details you can visit our website: http://www.familycomputerclub.com You can scrape, pull or get data from websites into Excel by performing a few simple steps. 1. record a macro to find out how one or many tables or data can be scraped from the website 2. Study the code carefully 3. Create an Excel sheet containing the links that get you the data from the appropriate web pages 4. Automate the process using a loop that creates a) New worksheets b) Automatically changes the link to the web pages that have the required data You can view the complete Excel VBA code here: http://www.familycomputerclub.com/scrpae-pull-data-from-websites-into-excel.html http://www.familycomputerclub.com/get-web-page-data-int-excel-using-vba.html Interesting Links: http://www.tushar-mehta.com/publish_train/xl_vba_cases/vba_web_pages_services/index.htm Get the book Excel 2016 Power Programming with VBA: http://amzn.to/2kDP35V If you are from India you can get this book here: http://amzn.to/2jzJGqU
Views: 523128 Dinesh Kumar Takyar
A description of the concepts behind Analysis of Variance. There is an interactive visualization here: http://demonstrations.wolfram.com/VisualANOVA/ but I have not tried it, and this: http://rpsychologist.com/d3-one-way-anova has another visualization
Views: 523005 J David Eisenberg
Which2 is an instance based learner written in lisp, designed to discover rules that predict for given target classes. Which2Gui is a graphic interface written in python/gtk that sits on top of Which2 and provides a pretty box to look at while datamining. We recommend viewing this video at the highest resolution available as the program text is almost completely illegible at lower resolutions.
Views: 421 laneseniordesign
It Knows You Better Than You Know Yourself. Where do we go from here? Data has become the tail that wags the dog; and we are pets, not free individuals in this configuration. And things are growing Darker. Please help support us on Patreon, read our goals here: https://www.patreon.com/truthstreammedia Truthstream Can Be Found Here: Our Film: TheMindsofMen.net Site: http://TruthstreamMedia.com Twitter: @TruthstreamNews DONATE: http://bit.ly/2aTBeeF Newsletter: http://eepurl.com/bbxcWX ~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~ Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use.
Views: 468131 Truthstream Media
Google Tech Talk (more info below) March 30, 2011 Presented by Raffael Marty. ABSTRACT In this two part presentation we will explore log analysis and log visualization. We will have a look at the history of log analysis; where log analysis stands today, what tools are available to process logs, what is working today, and more importantly, what is not working in log analysis. What will the future bring? Do our current approaches hold up under future requirements? We will discuss a number of issues and will try to figure out how we can address them. By looking at various log analysis challenges, we will explore how visualization can help address a number of them; keeping in mind that log visualization is not just a science, but also an art. We will apply a security lens to look at a number of use-cases in the area of security visualization. From there we will discuss what else is needed in the area of visualization, where the challenges lie, and where we should continue putting our research and development efforts. Speaker Info: Raffael Marty is COO and co-founder of Loggly Inc., a San Francisco based SaaS company, providing a logging as a service platform. Raffy is an expert and author in the areas of data analysis and visualization. His interests span anything related to information security, big data analysis, and information visualization. Previously, he has held various positions in the SIEM and log management space at companies such as Splunk, ArcSight, IBM research, and PriceWaterhouse Coopers. Nowadays, he is frequently consulted as an industry expert in all aspects of log analysis and data visualization. As the co-founder of Loggly, Raffy spends a lot of time re-inventing the logging space and - when not surfing the California waves - he can be found teaching classes and giving lectures at conferences around the world. http://about.me/raffy
Views: 25436 GoogleTechTalks
One of the most interesting things I have seen at #CES2019. This is a PC/Data Rack that is completely under liquid with a non conductive 3M liquid cooling! Can you imagine this pc cooling system coming to homes? Check out Unboxed here: http://unboxed.tv/signup How exactly does this pc cooling fluid work? Is this the future of pc technology and cooling? While this is more geared towards servers and data centers lets hope this comes to the best pc cooling setups and be available to the public as the future of liquid cooling. Is this future pc technology or do you think we won't see this? Is 3m novec and mineral oil the real water cooling? #pccooling #pc
Views: 15637 Danny Winget
Table of Contents Act 1 - The Possibilities are Endless 01:53 Act 2 - NLP to the Rescue (aka The Hype) 05:14 Act 3 - A Peek Under the Hood (aka The Reality) 16:40 Act 4 - You Can Do It! 25:22 Q&A - 40:10 Gathering insight from clinical notes remains one of the areas of untapped healthcare intelligence with tremendous potential. But extracting that value is difficult. Still, a few organizations across the country are demonstrating success using advanced technology tied to intuitive processes and procedures. Leading one such organizational effort is Wendy Chapman, PhD, chair of the Department of Biomedical Informatics at the University of Utah. Dr. Chapman’s research has driven discovery in new ways to disseminate resources for modeling and understanding information described in narrative clinical reports. Her teams have demonstrated phenotyping for precision medicine, quality improvement, and decision support. Joining Dr. Chapman in a shared discussion is Mike Dow who leads the Natural Language Processing (NLP) technology team at Health Catalyst. Mike and team have several years of experience engaging with a variety of health system organizations across the country who are realizing statistical insight by incorporating text notes along with discrete data analysis. Together, Mike and Dr. Chapman will provide an NLP primer sharing principle-driven stories so you can get going with NLP whether you are just beginning or considering processes, tools or how to build support with key leadership. Learning Objectives: - Understand NLP, both its challenges, and potential to drive clinical insight using social determinants of health - Gain insight into the technology that makes NLP possible - Consider the future potential of NLP View this webin to better understand the potential of NLP through existing applications, the challenges of making NLP a real and scalable solution, and walk away with concrete actions you can take to use NLP for the good of your organization.
Views: 229 Health Catalyst
Confusion Matrix for Multiple Classes www.imperial.ac.uk/people/n.sadawi
Views: 53935 Noureddin Sadawi
MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: John Guttag Prof. Guttag introduces supervised learning with nearest neighbor classification using feature scaling and decision trees. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 39024 MIT OpenCourseWare
Check out these secrets casinos really don't want you to find out! From blackjack secrets to tricks at roulette, knowing these things casinos are hiding from you will help you to win that big jackpot next time you go to las vegas! Subscribe For New Videos! http://goo.gl/UIzLeB Watch our "Dark SECRETS Walmart DOESNT Want You To Know!" video here: https://youtu.be/Ri9GySOGvgM Watch our "Top 5 Most Mysterious and Powerful Secret Societies" video here: https://youtu.be/0Lu4Uvc5EhA Watch our "Dark SECRETS Brands Don't Want You To Find Out!" video here: https://youtu.be/ejz5wvVpY5w 10. Free Stuff Places like Las Vegas are all about the money. If you have limited funds but still want to gamble, a wise move is to focus on comps. ‘Comp’ stands for ‘complementary’ and it’s the casino’s way of keeping you happy, even if you’re losing. A good tip is to bet high as your opening move. Spending a few extra dollars at the start puts you in the good graces of the casino and the comps should start flowing. For example $20 per hand for blackjack gives the right impression. Don’t do anything you can’t afford though! Also if those comps aren’t happening, ask! A little initiative on your part can go a long way. Even if you are only hanging out in a casino for the weekend, you can get all kinds of free perks! Getting a player’s card is the right way to go. This is similar to a customer loyalty card and they are free. All you have to do is show your ID to register for one and then the casino will send you offers for free stuff using your info, usually in the form of coupons. Your info can also be used to snoop on what you get up to but we’ll go into that a bit later! 9. Money Maze You might ask yourself how you lost all that money after a visit to the casino. Clearly Lady Luck wasn’t on your side. But it will surprise you to learn there is another major factor involved. One that operates on a subliminal level to keep you in the building and make it difficult for you to leave. This is the maze-like design of a casino, something the owners really don’t want you to know about! The psychology of casino design is talked about by writer Bill Friedman in his book ‘Stripping Las Vegas’. Friedman mentions that the best kind of casino layout is like a labyrinth. A labyrinth made up of slot machines and other distractions. The gambler tries to find their way through this elaborate maze to get out, but a combination of short pathways and hard-to-reach exits mean it’s more likely they’ll stop to spend some more money. Some casinos are designed like intimate spaces rather than gaming zones the size of aircraft hangars. This creates a sense of comfort along with the confusion. Add to this perks like free drinks and it’s no wonder you decided to try your luck on the Megabucks machine. You couldn’t even find your way to the exit, plus its hot as hell outside at least in Vegas, so why not stay and chill for just a little while longer...5 more bucks won’t hurt….right?? 8. NORA Software NORA stands for Non Obvious Relationship Awareness. It was devised by Systems Research & Development, a data mining company in Las Vegas. NORA is keeping a close eye on you from the moment you walk in the casino. It’s no surprise you’re going to be watched in a place with lots of money but NORA goes much further. The software gathers a wealth of personal information about players via tools such as loyalty cards. See...that’s how the getcha!!! It then uses that info to weed out cheaters. However it can also be used to judge how valuable you are to the casino based on your activity. Big Brother is watching you!! NORA works hand in hand with CCTV cameras and a team of experts hired by the casino. These include security pros, cryptographers and game theorists. The technology they use is like something out of a Bond movie! Playing chips are fitted with radio frequency transmitters that let experts know if the player is being sneaky with their game. At the same time masses of information is being gathered about you. In fact you hand over much of it willingly - for example when you’re trying to get those all important comps. Some have expressed concern that this gives casinos too much power and that the information can be misused. Others see NORA software as positive for society. The security tech used by Homeland Security to fight terrorism started out in the casinos. Either way casinos aren’t that happy that you know about their snooping! But even so, we probably don’t even know the half of it. Origins Explained is the place to be to find all the answers to your questions, from mysterious events and unsolved mysteries to everything there is to know about the world and its amazing animals!
Views: 2555114 Origins Explained
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Views: 343601 thenewboston
Title : Part - 2 Asp Dot Net Tutorial Insert Data into SQL Table (Hindi) Click To Download The Code https://drive.google.com/open?id=1qUX58k__gBOqkbh45U9y-KFhNHBL-qH2 ---------------------------------------------------------------- Description : How to display data in Repeater (Hindi/Urdu). Sub Description: asp.net project ,asp.net in hindi,asp.net page life cycle,asp.net in hindi,asp.net interview questions,asp.net tutorial,asp.net 2017 tutorial,asp.net 2015,asp.net 3.5 tutorial for beginners, asp.net 3 tier,asp.net 3tier architecture examples,asp.net 4.5 tutorial for beginners,asp.net 4.0 tutorial,asp.net 5 tutorial Follow me: https://www.facebook.com/AllCPL/ https://twitter.com/allcpl http://www.allcpl.com/ https://www.instagram.com/allcpl/
Views: 116 ALLCPL