Machine Learning Decoded – Approaches and Classes of Algorithms

Ever felt lost when dealing with concepts like supervised, semi-supervised, unsupervised, or reinforcement learning? Ever felt like choosing the right class of algorithms to solve a problem is quite difficult? Do you feel the need to get a bit of a structure in the modern jungle of machine learning algorithms? If yes, this session is for you.

We’ll discuss the top approaches in machine learning and then we’ll dive into analyzing various classes of machine learning algorithms. The focus will be on understanding the types of scenarios each class of algorithms addresses best.

The discussion is not intended to cover every single approach and class of machine learning algorithms that exist out there. Instead, we will focus on some of the most widely used scenarios in modern machine learning. Practical examples will help you better understand the specifics and characteristics of each approach and class.

Benefits of Attending this Session: 

  • Clear understanding of machine learning approaches
  • Comprehensive view of types of machine learning algorithms
  • Real-life applications using Microsoft Azure
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