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SAS Tutorial | Machine Learning in SAS for Regression and Classification
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Description from the creator
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.
Content Outline
0:00:00 – Welcome
0:10:18 – Principal Components Analysis, Principal Components Regression, and Partial Least Squares
0:38:53 – Ridge Regression, LASSO, and Elastic Net
1:03:39 – Generalized Additive Models
1:20:12 – Decision Trees, Part 1
1:43:56 – Decision Trees, Part 2
2:10:40 – Random Forests, Support Vector Machines, and Conclusions
Session Id: 5307
Presenter: Kevin Lee, Clindata Insight Inc.
Topic: Analytics
Industry: Non-Industry Specific
Audience: Programmer, Statistician/Biostatistician
Level: Novice
Additional resources
Resource Hub for Data Professionals – sas.com/sas/offers/resource-hub/roles/data-prof…
Learn more about SAS Software
Free SAS Online Training – sas.com/en_us/training/offers/free-training.geo…
Contact SAS® – sas.com/en_us/contact.geo.html?utm_source=youtu…
SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS #SASGF
youtube.com/SASUsers?sub_confirmation=1
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 ► sas.com/contact
SAS Customer Support ► support.sas.com
SAS Communities ► communities.sas.com
SAS Analytics Explorers ► explorers.sas.com
Facebook ► facebook.com/SASsoftware
Twitter ► twitter.com/SASsoftware
LinkedIn ► linkedin.com/company/sas
Blogs ► blogs.sas.com
RSS ►sas.com/rss
Content Outline
0:00:00 – Welcome
0:10:18 – Principal Components Analysis, Principal Components Regression, and Partial Least Squares
0:38:53 – Ridge Regression, LASSO, and Elastic Net
1:03:39 – Generalized Additive Models
1:20:12 – Decision Trees, Part 1
1:43:56 – Decision Trees, Part 2
2:10:40 – Random Forests, Support Vector Machines, and Conclusions
Session Id: 5307
Presenter: Kevin Lee, Clindata Insight Inc.
Topic: Analytics
Industry: Non-Industry Specific
Audience: Programmer, Statistician/Biostatistician
Level: Novice
Additional resources
Resource Hub for Data Professionals – sas.com/sas/offers/resource-hub/roles/data-prof…
Learn more about SAS Software
Free SAS Online Training – sas.com/en_us/training/offers/free-training.geo…
Contact SAS® – sas.com/en_us/contact.geo.html?utm_source=youtu…
SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS #SASGF
youtube.com/SASUsers?sub_confirmation=1
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 ► sas.com/contact
SAS Customer Support ► support.sas.com
SAS Communities ► communities.sas.com
SAS Analytics Explorers ► explorers.sas.com
Facebook ► facebook.com/SASsoftware
Twitter ► twitter.com/SASsoftware
LinkedIn ► linkedin.com/company/sas
Blogs ► blogs.sas.com
RSS ►sas.com/rss
About this tutorial
SAS Users published this 2:35:45 video tutorial on June 13, 2020. It has been watched 3,613 times on YouTube.
- Channel
- SAS Users
- Category
- Science & Technology
- Duration
- 2:35:45
- Published
- June 13, 2020
- Views
- 3,613
- Likes
- 49
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