Overview (Week 1)

Introduction

This module is the introductions module. Here, we describe what do we mean by Machine Learning, we will talk about big data and data mining, and we will talk about the applications of machine learning. After a brief introduction, we start talking about Sets, Functions, and Linear Algebra. These three topics belong to the math review section (we call it First Things First in this class), which are required for machine learning.

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Practice Quiz - Introduction 
Project - 1st milestone
Week 1: Discussion
Class Activity: Sets and Subsets
Class Activity: Set operations
Class Activity: Functions and Inverses
Class Activity: Sequences and Summations
Class Activity: Vector Operations
Class Activity: Dot Product
Practice Quiz - Sets
Practice Quiz - Functions
Week 1: Assignment

 

Learning Objectives

  • Understand the basic definition of learning and the difference between supervised and unsupervised learning
  • Understand the basic concepts of sets, functions, and vectors

Guiding Questions

  • What is the definition of learning?
  • What do we mean by supervised learning?
  • What do we mean by unsupervised learning?
  • What are the dimensions of big data?
  • What is the definition of data mining?
  • What is a set?
  • What are the set operations?
  • What is a function?
  • What is a sequence?
  • What is the difference between a scalar and a vector?
  • What is a dot product?