Beginners Machine Learning Masterclass with Tensorflow JS
- Development
- Feb 23, 2025

Beginners Machine Learning Masterclass with Tensorflow JS, available at $54.99, has an average rating of 4.25, with 110 lectures, based on 16 reviews, and has 173 subscribers.
You will learn about Machine Learning in Javascript Why TensorFlow for JavaScript is a game changer Data preparation for machine learning This course is ideal for individuals who are Anyone who wants to start using machine learning in their apps and websites using Javascript or Anyone who wants to learn Machine Learning with Tensorflow JS or Developers transferring from other languages It is particularly useful for Anyone who wants to start using machine learning in their apps and websites using Javascript or Anyone who wants to learn Machine Learning with Tensorflow JS or Developers transferring from other languages.
Enroll now: Beginners Machine Learning Masterclass with Tensorflow JS
Summary
Title: Beginners Machine Learning Masterclass with Tensorflow JS
Price: $54.99
Average Rating: 4.25
Number of Lectures: 110
Number of Published Lectures: 110
Number of Curriculum Items: 110
Number of Published Curriculum Objects: 110
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
This course has been designed by a specialist team of software developers who are passionate about using JavaScript with Machine Learning. We will guide you through complex topics in a practical way, and reinforce learning with in-depth labs and quizzes.
This is the tutorial you’ve been looking for to become a modern JavaScript machine learning master in 2020. It doesn’t just cover the basics, by the end of the course you will have advanced machine learning knowledge you can use on you resume. From absolute zero knowledge to master – join the TensorFlow.js revolution.
Course Curriculum
Chapter 1: Introduction
Lecture 1: 01 What Is Machine Learning
Lecture 2: 01b What Youll 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
Instructors

Mammoth Interactive
Top-Rated Instructor, 3.3 Million+ Students

John Bura
Best Selling Instructor Web/App/Game Developer 1Mil Students
Rating Distribution
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