SAS Tutorial | How to Choose a Machine Learning Algorithm

With so many machine learning algorithms to choose from, it’s hard to know which one is best for your scenario. In the SAS How To Tutorial, SAS’ Aurora Peddycord-Liu gives pros and cons of some commonly used machine learning models. She then shows how to assess and compare models in SAS Model Studio.

Content Outline
0:00 – Overview
0:33 – Step 1: Understand your ingredients
2:09 – Step 2: Match methods to ingredients
2:45 – Pros and cons of decision tree
4:39 – Pros and cons of neural network
6:34 – What deep learning is and what it is not
8:46 – Step 3: Assess results in a systematic approach
9:24 – How to assess results in SAS Model Studio

Download the Data
Access the data Aurora uses on GitHub – https://github.com/sascommunities/sas-howto-tutorials/tree/master/machinelearning

Learn more about SAS Software
Blog post: Which machine learning algorithm should I use? – https://blogs.sas.com/content/subconsciousmusings/2017/04/12/machine-learning-algorithm-use/
AI & Machine Learning Professional Training – https://www.sas.com/en_us/training/academy-data-science/ai-machine-learning-certification.html?utm_source=youtube.com&utm_medium=referral&utm_campaign=learn-certification&utm_content=-oZcf0QEzYM

Related Video Tutorials that Aurora Mentions
Machine Learning Fundamentals – https://www.youtube.com/watch?v=8k2MbSljPes&list=PLVV6eZFA22QwrXd6nSDU18E6XgXSMOs87
Gradient Boosting Explained – https://www.youtube.com/watch?v=9wDoiSo8trc&list=PLVV6eZFA22QwrXd6nSDU18E6XgXSMOs87
How to Deploy Models in SAS – https://www.youtube.com/watch?v=IGW77r-KQDc&list=PLVV6eZFA22QwrXd6nSDU18E6XgXSMOs87

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