SAS Tutorial | Machine Learning Tutorial for SAS Programmers
The most popular buzz word nowadays in technology world is machine learning. Machine learning is the computer science technology that provides systems with the ability to learn without being explicitly programmed. A lot of organizations and start-up companies take advantage of machine learning to solve business problems. Right now, machine learning can help us with the following: Self-driving vehicles. Online recommendations in Netflix and Amazon. Fraud detection in banks. Image and video recognition. Security monitoring. Natural language processing. Question-answering machines (e.g., IBM Watson). Machine learning (ML) is expected to automate and optimize many processes, providing tremendous value to organizations and societies, so a lot of companies are also looking to implement ML in their organizations. The tutorial is intended for SAS® programmers who are interested in learning about machine learning and applying ML to lead innovation in their organizations. Through this tutorial, SAS programmers will be able to achieve the following: Understanding of machine learning. Knowledge on concepts and theory of machine learning. Potential and impact of machine learning. Interest, excitement and opportunities for SAS programmers. Current, future and practical implementation of machine learning. Confidence in machine learning.
Session ID: 5307
Presenter: Kevin Lee, Clindata Insight Inc.
Topic: Analytics
Industry: Analytics
Audience: Non-Industry Specific
Level: Novice
Content Outline
0:00:00 – Welcome
0:02:22 – Introduction to Machine Learning
0:07:04 – Machine Learning Concepts - Hypothesis function, Cost function, Gradient Descent, Learning Rate
0:09:08 – Machine Learning Process / Workflow
0:22:49 – Machine Learning Types and Algorithms
0:48:30 – Verification of the trained model
0:52:49 – Hyperparameter Tuning
0:53:24 – Artificial Neural Network
1:01:16 – Activation Function
1:05:24 – Loss Function
1:08:12 – Optimizer
1:09:52 – Deep Neural Network (DNN)
1:14:06 – DNN Improvement - Bias vs Variance & Regularization
1:18:47 – Convolutional Neural Network (CNN)
1:34:18 – Recurrent Neural Network (RNN) and Natural Language Processing (NLP)
1:42:35 – Transfer Learning
1:49:48 – How ML/AI impacts our lives
1:53:16 – Machine Learning current implementation and future
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