SAS Tutorial | Machine Learning Fundamentals скачать в хорошем качестве

SAS Tutorial | Machine Learning Fundamentals

In this SAS How To Tutorial, Ari Zitin explores some machine learning fundamentals by digging into details on decision tree and neural network models. Ari walks through several examples of machine learning tasks and gives a focused explanation using HMEQ banking data, that's linked to below. You'll note that Ari uses SAS Model Studio to explain the different machine learning algorithms. Chapters 00:00 – Introduction to Machine Learning and Examples Covers in this Video 01:30 – Example Introduction – Loan Default Prediction Using Historical Banking Data 03:07 – Machine Learning Decision Tree Example 10:56 – Machine Learning Neural Network Example 16:32 – Comparison of the Results for the Two Different Machine Learning Models Related Content ◉ Download the HMEQ data set that Ari uses – https://raw.githubusercontent.com/sas... ◉ Video: Getting started in SAS Model Studio – https://video.sas.com/detail/videos/m... ◉ Video: Variable selection node in SAS Model Studio – https://video.sas.com/detail/videos/m... Learn more about SAS Software ◉ AI and Machine Learning Courses – https://www.sas.com/en_us/training/pr... ◉ Which machine learning algorithm should I use? – https://blogs.sas.com/content/subcons... ◉ Machine learning course with SAS – https://www.sas.com/en_us/training/co... ◉ Try SAS Visual Data Mining and Machine Learning – https://www.sas.com/en_us/trials/soft... ◉ Fundamentals of Machine Learning –    • Fundamentals of Machine Learning   SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS https://www.youtube.com/SASUsers?sub_... ABOUT SAS SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change. CONNECT WITH SAS SAS ► https://www.sas.com SAS Customer Support ► https://support.sas.com SAS Communities ► https://communities.sas.com SAS Analytics Explorers ► https://explorers.sas.com Facebook ►   / sassoftware   Twitter ►   / sassoftware   LinkedIn ►   / sas   Blogs ► https://blogs.sas.com RSS ► https://www.sas.com/rss