Machine Learning Strategies

Machine Learning is a key differentiator for modern organizations, but where does it fit into larger IT strategies? What does it do for you? How can it go wrong?

This class will contextualize these technologies and explain the major technologies without much (if any) math.

We will cover:

  • What organizations to get right before they can benefit from Machine Learning
  • Learning styles and algorithms
  • What can go wrong

About Brian Sletten

Brian Sletten

Brian Sletten is a liberal arts-educated software engineer with a focus on forward-leaning technologies. His experience has spanned many industries including retail, banking, online games, defense, finance, hospitality and health care. He has a B.S. in Computer Science from the College of William and Mary and lives in Auburn, CA. He focuses on web architecture, resource-oriented computing, social networking, the Semantic Web, data science, 3D graphics, visualization, scalable systems, security consulting and other technologies of the late 20th and early 21st Centuries. He is also a rabid reader, devoted foodie and has excellent taste in music. If pressed, he might tell you about his International Pop Recording career.

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