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Introduction to Machine Learning

Machine learning continues to be a hot topic for organizations looking to get more accuracy from their analytic models. But there are several practical issues that should be considered in applying it to real-world industry problems.

In this this webinar, Wayne Thompson of SAS delves into those issues and provides an overview of machine learning, as well as key business applications of this technique, including fraud detection, model factories and recommendation systems.

Key Takeaways

-Learn about four focus areas of machine learning: unsupervised learning, supervised learning, semisupervised learning and reinforcement learning.

-Get useful tips on feature engineering, ensemble modeling, bias variance, shrinkage and model evaluation.

-Get insight into the future of machine learning, including cognitive computing and robot learning.
Recorded May 19 2016 39 mins
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Presented by
Wayne Thompson, Chief Data Scientist, SAS
Presentation preview: Introduction to Machine Learning

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The Power to Know ®
In today's organizations, you need to get relevant data quickly to drive faster business decisions. With big data, sometimes that's easier said than done.

SAS® Business Intelligence offers predictive insights with the ability to understand the past, monitor the present and predict outcomes, no matter the size or complexity of your data. In fact, SAS helps you deliver accurate, valuable information – from Hadoop or any other big data source.

Plus, SAS offers an integrated, flexible presentation layer for the full breadth of SAS Analytics capabilities: data and text mining, statistics, predictive analytics, forecasting and optimization.

One of the key components of SAS Business Intelligence, SAS Visual Analytics, offers self-service data discovery, enabling even nontechnical business users to explore billions of rows of data in seconds. With this tool, you can discover more opportunities and make more precise decisions, easily publishing reports to the Web and mobile devices.

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  • Title: Introduction to Machine Learning
  • Live at: May 19 2016 2:25 pm
  • Presented by: Wayne Thompson, Chief Data Scientist, SAS
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