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A Simple Introduction to Machine Learning

Know absolutely nothing about Machine Learning? Know almost nothing about Computers? Coding? Software? Maths? Then you have found the absolute best course to learn about Machine Learning. Most courses you come across (even those claiming to be beginner friendly) will bombard you with complex terminology, mathematical formulas and code snippets. But expect none of that here. My goal with this course is to provide you with the intuition and a basic understanding of the most common Machine Learning concepts. I am absolutely confident when I say: you will NOT find a better beginner friendly course anywhere on the internet.

Chapters

01Chapter 1: What is ML?02Chapter 2: The different types of ML03Chapter 3: Linear Regression04Chapter 4: Testing how good a model is05Chapter 5: Classification & Perceptrons06Chapter 6: Logistic Classifiers07Chapter 7: Support Vector Machines (SVM)08Chapter 8: Decision Trees09Chapter 9: Neural Networks10Chapter 10: Evaluating how good a model is 11Chapter 11: Summary