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Beginners Machine Learning Masterclass with Tensorflow JS

  • Development
  • Feb 23, 2025
SynopsisBeginners Machine Learning Masterclass with Tensorflow JS, av...
Beginners Machine Learning Masterclass with Tensorflow JS  No.1

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

  • Machine Learning in Javascript
  • Why TensorFlow for JavaScript is a game changer
  • Data preparation for machine learning
  • Who Should Attend

  • Anyone who wants to start using machine learning in their apps and websites using Javascript
  • Anyone who wants to learn Machine Learning with Tensorflow JS
  • Developers transferring from other languages
  • Target Audiences

  • Anyone who wants to start using machine learning in their apps and websites using Javascript
  • Anyone who wants to learn Machine Learning with Tensorflow JS
  • Developers transferring from other languages
  • 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

  • Beginners Machine Learning Masterclass with Tensorflow JS  No.2
    Mammoth Interactive
    Top-Rated Instructor, 3.3 Million+ Students
  • Beginners Machine Learning Masterclass with Tensorflow JS  No.3
    John Bura
    Best Selling Instructor Web/App/Game Developer 1Mil Students
  • Rating Distribution

  • 1 stars: 1 votes
  • 2 stars: 0 votes
  • 3 stars: 1 votes
  • 4 stars: 3 votes
  • 5 stars: 11 votes
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