A Short Introduction to Machine Learning | Daniel M. | Skillshare

A Short Introduction to Machine Learning

Daniel M.

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20 Lessons (1h 11m)
    • 1. Introduction

      1:34
    • 2. Defining Machine Learning

      3:35
    • 3. Understanding Machine Learning (Part 1)

      3:41
    • 4. Understanding Machine Learning (Part 2)

      3:38
    • 5. Understanding Machine Learning (Part 3)

      3:28
    • 6. Core Concepts (Part 1)

      3:29
    • 7. Core Concepts (Part 2)

      3:52
    • 8. Core Concepts (Part 3)

      3:58
    • 9. Core Concepts (Part 4)

      3:49
    • 10. Algorithms: Decision Trees

      4:04
    • 11. Algorithms: K Means Clustering

      4:02
    • 12. Algorithms: K Nearest Neighbor

      4:05
    • 13. Algorithms: Naive Bayes

      4:07
    • 14. Algorithms: Regression

      4:06
    • 15. Problems That Utilize Machine Learning

      3:35
    • 16. Choosing the Right Algorithm

      3:48
    • 17. Fitting the Data

      3:31
    • 18. Following the Data

      4:04
    • 19. Usual Challenges

      4:04
    • 20. Next Steps

      0:44

About This Class

Machine learning is one of the most important areas of Artificial Intelligence. It provides developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data.  It can be applied across many industries to increase profits, reduce costs, and improve customer experiences.

In this class I’m going to provide you with a short introduction to the field of machine learning.It will make the fundamentals and algorithms of machine learning accessible to anyone. This means plain-English explanations and no coding experience required.