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Beginners Machine Learning Masterclass with Tensorflow JS

Course Details
Trainer Name

John Bura

Skill Area

Digital Technologies and Digital Transformation

Reviews

4.8 (2 Rating)

Course Requirements

Javascript basics
Some high school maths

Course Description

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 this course you will have advanced machine learning knowledge you can use in your resume. From absolute zero knowledge to master - join the TensorFlow.js revolution.

Course Outcomes

1.Machine Learning in Javascript
2.Why TensorFlow for JavaScript is a game changer
3.Data preparation for machine learning

Course Curriculum

1 What Is Machine Learning.mp4

2 What You'll Learn.mp4

3 What is TensorFlow JS.mp4

4 Load Tensorflow Object.mp4

1 Introduction to the Course.mp4

2 Introduction of the instructor.mp4

3 Why should you learn JavaScript.mp4

4 Quick Win.mp4

5 Course Requirements.mp4

1 What will we learn in this section.mp4

2 Variables.mp4

3 Data Types.mp4

4 Variable Mutation.mp4

5 Type Coercion.mp4

6 Coding Challenge.mp4

7 Coding Challenge Solution.mp4

8 Section Summary.mp4

1 What will we learn in this section.mp4

2 Basic Operators.mp4

3 Operator Precedence.mp4

4 Coding Challenge.mp4

5 Coding Challenge Solution.mp4

6 Section Summary.mp4

1 What will we learn in this section.mp4

2 If Else Statements.mp4

3 Boolean Logic.mp4

4 Switch Statements.mp4

5 Truthy and Falsie Values.mp4

6 Equality Operators.mp4

7 Coding Challenge.mp4

8 Coding Challenge Solution.mp4

9 Section Summary.mp4

1 What will we learn in this section.mp4

2 Functions.mp4

3 Function Statements and Expressions.mp4

4 Arrays.mp4

5 Coding Challenge.mp4

6 Coding Challenge Solution.mp4

7 Section Summary.mp4

1 What will we learn in this section.mp4

2 Objects and Properties.mp4

3 Objects and Methods.mp4

4 Coding Challenge.mp4

5 Objects vs Primitives.mp4

6 Coding Challenge Solution.mp4

7 Section Summary.mp4

1 ronnie rowlands - Maaz Muhammad - 07 01 What will we learn in this section

2 ronnie rowlands - Maaz Muhammad - 07 02 Loops

3 ronnie rowlands - Maaz Muhammad - 07 03 Iteration

4 ronnie rowlands - Maaz Muhammad - 07 04 Coding Challenge

5 ronnie rowlands - Maaz Muhammad - 07 05 Coding Challenge Solution

6 ronnie rowlands - Maaz Muhammad - 07 06 Section Summary

1 ronnie rowlands - Maaz Muhammad - 08 01 What will we learn in this section

2 ronnie rowlands - Maaz Muhammad - 08 02 Javasript Parsers and Engines

3 ronnie rowlands - Maaz Muhammad - 08 03 Execution Contexts and Execution Stack

4 ronnie rowlands - Maaz Muhammad - 08 04 Creation and Execution Phases

5 ronnie rowlands - Maaz Muhammad - 08 05 Hoisting

6 ronnie rowlands - Maaz Muhammad - 08 07 Scope Chain

7 ronnie rowlands - Maaz Muhammad - 08 08 This Keyword

8 ronnie rowlands - Maaz Muhammad - 08 09 Coding Challenge

9 ronnie rowlands - Maaz Muhammad - 08 10 Coding Challenge Solution

10 ronnie rowlands - Maaz Muhammad - 08 11 Section Summary

11 ronnie rowlands - Maaz Muhammad - 08 06 Scoping

1 Linear Algebra for Machine Learning.mp4

2 Build Tensors

3 Tensor Utility Methods

4 Perform Math with Tensors

1 Build a Scatter Plot.mp4

2 Build a Bar Chart

3 Build a Histogram

1 Build Sample Data

2 Build the Model

3 Make a Prediction

1 Generate Data

2 Visualize Data

1 What is Linear Regression.mp4

2 Prepare Training Data.mp4

3 Build the Model.mp4

4 Make a Prediction.mp4

1 Set Up the Canvas

2 Draw a Data Sample

3 Create Loss and Prediction Functions

4 Collect User Input for Data

5 Visualize Linear Regression with Dynamic Data

1 Set Up the Canvas.mp4

2 Visualize Linear Regression with Dynamic Data.mp4

1 Generate Samples.mp4

2 Generate a Prediction Equation with Weights.mp4

3 Train the Model.mp4

4 Visualize Predictions.mp4

5 Visualize Prediction Error.mp4

1 Load Models into HTML

2 Train Model on Images

Trainer

Trainer Name

John Bura

4.8 Rating
2 Reviews

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This course includes:

  • Duration: 9 Hours 32 Min

  • Skill Level: Beginner

  • Lectures: 94 lessons

  • Enrolled: 103 learners

  • Certificate of Completion

  • Lifetime access

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