Machine Learning Introduction

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What is Machine Learning

Essential Reading

• A nice intro to ML - video
• 7 types of machine learning - video
• A gentle guide to machine learning
• What ML can and can not do - a video by Andrew Ng
• Chapter 1. What is machine learning? of Real World Machine Learning book offers a great intro ML and use cases

More Reading

• I highly recommend “AI for everyone” - video series by Andrew Ng at Coursera
• Machine learning for beginners

Little More Theory

• Ch 2 of Introduction to Statistical Learning gives a pretty good overview of ML, with some essential math.

Machine Learning for Developers

• Machine Learning for Developers

Checklist

Check your knowledge:

• Make a list of problems machine learning can and can not solve
• Come up with a chart/diagram with machine learning algorithms. Start with this:
  • ML Algorithms
    • Regressions
      • Examples of regression algorithms
    • Another type
      • Example
    • and so on…
• Figure out what kind of machine learning we might use for the following scenarios
  • A bank wants to identify fraudulent credit card transactions
  • We want to estimate house prices for next month
  • We want group similar shopping behaviors of our customers
  • I want to identify damaged products from my assembly line
  • In self driving scenario, we want to estimate where the car in front of us is

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