Beginners Machine Learning Masterclass with Tensorflow JS

Course Curriculum

Chapter 1: Introduction

Lecture 1: 01 What Is Machine Learning

Lecture 2: 01b What You'll Learn

Lecture 3: 02 What is TensorFlow JS

Lecture 4: 03 Load Tensorflow Object

Lecture 5: Source Code

Chapter 2: (Prerequisite) Introduction to the Course

Lecture 1: 01 01 Introduction to the Course

Lecture 2: 01 02 Introduction of the instructor

Lecture 3: 01 03 Why should you learn JavaScript

Lecture 4: 01 04 Quick Win

Lecture 5: 01 05 Course Requirements

Lecture 6: Source Code

Chapter 3: (Prerequisite) Variables and Data Types

Lecture 1: 02 01 What will we learn in this section

Lecture 2: 02 02 Variables

Lecture 3: 02 03 Data Types

Lecture 4: 02 04 Variable Mutation

Lecture 5: 02 05 Type Coercion

Lecture 6: 02 06 Coding Challenge

Lecture 7: 02 07 Coding Challenge Solution

Lecture 8: 02 08 Section Summary

Lecture 9: Source Code

Chapter 4: (Prerequisite) Operators

Lecture 1: 03 01 What will we learn in this section

Lecture 2: 03 02 Basic Operators

Lecture 3: 03 03 Operator Precedence

Lecture 4: 03 04 Coding Challenge

Lecture 5: 03 05 Coding Challenge Solution

Lecture 6: 03 06 Section Summary

Lecture 7: Source Code

Chapter 5: (Prerequisite) Conditional Statements

Lecture 1: 04 01 What will we learn in this section

Lecture 2: 04 02 If Else Statements

Lecture 3: 04 03 Boolean Logic

Lecture 4: 04 04 Switch Statements

Lecture 5: 04 05 Truthy and Falsie Values

Lecture 6: 04 06 Equality Operators

Lecture 7: 04 07 Coding Challenge

Lecture 8: 04 08 Coding Challenge Solution

Lecture 9: 04 09 Section Summary

Lecture 10: Source Code

Chapter 6: (Prerequisite) Functions and Arrays

Lecture 1: 05 01 What will we learn in this section

Lecture 2: 05 02 Functions

Lecture 3: 05 03 Function Statements and Expressions

Lecture 4: 05 04 Arrays

Lecture 5: 05 05 Coding Challenge

Lecture 6: 05 06 Section Summary

Lecture 7: Source Code

Chapter 7: (Prerequisite) Objects

Lecture 1: 06 01 What will we learn in this section

Lecture 2: 06 02 Objects and Properties

Lecture 3: 06 03 Objects and Methods

Lecture 4: 06 04 Objects vs Primitives

Lecture 5: 06 05 Coding Challenge

Lecture 6: 06 06 Coding Challenge Solution

Lecture 7: 06 07 Section Summary

Lecture 8: Source Code

Chapter 8: (Prerequisite) Loops

Lecture 1: 07 01 What will we learn in this section

Lecture 2: 07 02 Loops

Lecture 3: 07 03 Iteration

Lecture 4: 07 04 Coding Challenge

Lecture 5: 07 05 Coding Challenge Solution

Lecture 6: 07 06 Section Summary

Lecture 7: Source Code

Chapter 9: (Prerequisite) JavaScript Execution

Lecture 1: 08 01 What will we learn in this section

Lecture 2: 08 02 Javascript Parsers and Engines

Lecture 3: 08 03 Execution Contexts and Execution Stack

Lecture 4: 08 04 Creation and Execution Phases

Lecture 5: 08 05 Hoisting

Lecture 6: 08 06 Scoping

Lecture 7: 08 07 Scope Chain

Lecture 8: 08 08 This Keyword

Lecture 9: 08 09 Coding Challenge

Lecture 10: 08 10 Coding Challenge Solution

Lecture 11: Source Code

Chapter 10: 01a Build Your First Tensors

Lecture 1: 00 Linear Algebra for Machine Learning

Lecture 2: 01 Build Tensors

Lecture 3: 02 Tensor Utility Methods

Lecture 4: 03 Perform Math with Tensors

Lecture 5: Source Code

Chapter 11: 01b Visualize Data

Lecture 1: 01 Build a Scatter Plot

Lecture 2: 02 Build a Bar Chart

Lecture 3: 03 Build a Histogram

Lecture 4: Source Code

Chapter 12: 01c Train a Simple Model

Lecture 1: 01 Build Sample Data

Lecture 2: 02 Build the Model

Lecture 3: 03 Make a Prediction

Lecture 4: Source Code

Chapter 13: 01d Generate and Visualize Data

Lecture 1: 01 Generate Data

Lecture 2: 02 Visualize Data

Lecture 3: Source Code

Chapter 14: 02 Build a Linear Regression Model