Machine Learning Workshop

Machine Learning is all the rage, but many developers have no idea what it is, what they can expect from it or how to start to get into this huge and rapidly-changing field. The ideas draw from the fields of Artificial Intelligence, Numerical Analysis, Statistics and more. These days, you'll generally have to be a CUDA-wielding Python developer to boot. This workshop will gently introduce you to the ideas and tools, show you several working examples and help you build a plan to for diving deeper into this exciting new field.

We will cover:

  • The differences between data science, AI and machine learning
  • The Five Tribes of Machine Learning (as defined by Pedro Domingos)
  • Walkthroughs of some of the main algorithms
  • Examples in Java, R and Python
  • Tools such as Tensorflow and Pytorch
  • The impact of GPUs on machine learning
  • Stories about how companies are being successful with machine learning
  • A discussion about the likely impacts of machine learning on the job market and society

Brian Sletten

About 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, AI/ML, 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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