Introduction to Machine Learning (Lesson 1 Naive Bayes)

Yang Wang
Yang Wang
Jul 25, 2017 · 2 min read

Study notes and mind-map for the free course of Intro to Machine Learning in Udacity

This is the first post of new series on my takeaway for the course Introduction to Machine Learning in Udacity. Like I always do, I will try to include the key notes of each lesson in a Mind-map as much as possible. I also try to explain the concept using the plain language and examples from the course. If you find some missing points that are important, please feel free to comment below. This post will focus on the introduction of the course and the first lesson on the topic of Naive Bayes.

Introduction

In terms of the introduction to this course, there is nothing more entertaining than an official one.

Mind-Map for notes

That’s all for the introduction and lesson 1. If you like the content and the beauty of mind-map for learning, please feel free to recommend and repost. Always open to all the questions and improvements, just comment below and enjoy self-leaning!

Yang Wang

Written by

Yang Wang

Data Enthusiast, Life-long Leaner, Love everything beautiful

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