Udemy – Machine Learning with Javascript 2020-4

Description

Machine Learning with Javascript is the name of a video training package in the field of data science learning and machine learning. In fact, in this course you will become a specialist in machine learning by using JavaScript and TensorflowJS and doing real and practical projects. The reason for using JavaScript to learn the machine is its simplicity compared to learning with the help of Python. At the end of this course, you will improve your machine skills and data science in an incredible way by learning the training provided.

In this course you will learn the basic machine learning algorithms. Unlike other courses that use pre-built algorithms and functions to teach machine learning, this course tries to teach you all the basics. This will help you to learn machine learning techniques well. This course is recommended for JavaScript developers who want to learn machine.

Items that are taught in this course

Learn and become familiar with machine learning algorithms

Learn how to build applications with Javascript and ML

Learn how to work with machine learning without relying on libraries

Familiarity with Tensorflow JS and familiarity with its applications at work

Learn and get acquainted with the basics of Linear Algebra

Machine Learning course specifications with Javascript

English language

Duration: 17:39:34

Number of lessons: 185

Instructor: Stephen Grider

File format: mp4

Topics

Course content 185 lectures 17:39:34

What is Machine Learning? 9 lectures 40:20

Algorithm Overview 24 lectures 02:28:02

Onwards to Tensorflow JS! 11 lectures 01:14:32

Applications of Tensorflow 15 lectures 01:38:08

Getting Started with Gradient Descent 12 lectures 01:37:49

Gradient Descent with Tensorflow 13 lectures 01:36:21

Machine Learning with Javascript Course Content

Increasing Performance with Vectorized Solutions 17 lectures 01:52:38

Plotting Data with Javascript 3 lectures 14:00

Gradient Descent Alterations 6 lectures 39:31

Natural Binary Classification 20 lectures 01:36:58

Multi-Value Classification 13 lectures 01:07:53

Image Recognition In Action 10 lectures 49:04

Performance Optimization 21 lectures 01:25:01

Appendix: Custom CSV Loader 10 lectures 39:05

Extras 1 lecture 00:12

Prerequisite

Basic understanding of terminal and command line usage Ability to read basic math equations

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p