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Data Science Central Podcast Series

 

Data scientists are a rare breed of analytical data experts. They have the technical skills to use data to solve the most complex problems – and a curiosity that drives them to explore and ask questions about the world around us.

We’ve partnered with Data Science Central to produce a series of podcasts that are geared for fearless data explorers like you.

PODCASTS

Click on any of the episodes below to check them out.

  • Machine Learning: Intro to Transfer Learning
    Transfer learning is a relatively new – and promising – area of machine learning. It applies information extracted from one set of distributions (usually referred to as the source) to another set of distributions (often called the target).
  • AI and Deep Learning Part 1
    Learn about AI, the capabilities that SAS brings to the table and how data scientists can apply deep learning to their data.
  • AI and Deep Learning Part 2
    Discover how the SAS Platform enables the development of AI applications and how SAS customers are using this exciting technology today.
  • Black Box Perception
    Learn how to build more transparency into the analytical process and use black box solutions to solve complex issues.
  • Deployment at Scale
    Learn how to deploy, support and scale an IT-enabled, people-driven modern analytics solution by integrating analytical methods into the fabric of your business.
  • Balancing AI Endeavors With Analytic Talent
    Learn how to minimize the costs of acquiring the right analytical talent and maximize your chance of AI success.
  • AI: Extracting the Hidden Value in Unstructured Data
    Get a better understanding of natural language processing as well as SAS’ hybrid approach to the technology. Use cases will be included.
  • Modeling on the Edge
    Learn how to develop machine learning models from an analytics base table and move that model to the edge for the purposes of scoring – or even training.
  • Automate and Scale Your Decision Making With Analytics
    Learn how to quickly move models from the experimental phase to the front line. We’ll show how you can rapidly and automatically define the best action to take, and scale that insight across thousands of daily decisions.
  • AI: Extracting the Hidden Value in Unstructured Data
    Get a better understanding of natural language processing as well as SAS’ hybrid approach to the technology. Use cases will be included.

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