Episode

Introduction to Machine Learning for Beginners (Part 1 of 17) | Machine Learning for Beginners

with Bea Stollnitz

Machine Learning for Beginners

Welcome to the first lesson of our Machine Learning for Beginners course, presented by Bea Stollnitz, a Principal Cloud Advocate at Microsoft! Join us on this exciting journey to understand the fundamentals of classical machine learning and how it can be applied to solve real-world problems.

In this introductory video, we cover:

  • Motivation for learning machine learning
  • The difference between artificial intelligence, machine learning, and deep learning
  • What you'll learn in this course
  • What you will not learn in this course
  • Why you should study machine learning

No matter your background, this course will provide you with a solid foundation in classical machine learning, opening doors to countless applications in various fields. So let's get started! Stay tuned for the next video in this series, where we'll dive into the history of machine learning.

Chapters

  • This course is based on the free, open-source, 26-lesson ML For Beginners curriculum from Microsoft.

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