# Hands-On-Machine-Learning-using-JavaScript

**Repository Path**: bit2atom/Hands-On-Machine-Learning-using-JavaScript

## Basic Information

- **Project Name**: Hands-On-Machine-Learning-using-JavaScript
- **Description**: Hands-On Machine Learning using JavaScript, published by Packt
- **Primary Language**: CSS
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-25
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Hands-On Machine Learning using JavaScript [Video]
This is the code repository for [Hands-On Machine Learning using JavaScript [Video]](https://www.packtpub.com/application-development/hands-machine-learning-using-javascript-video?utm_source=github&utm_medium=repository&utm_campaign=9781789613360), published by [Packt](https://www.packtpub.com/?utm_source=github). It contains all the supporting project files necessary to work through the video course from start to finish.
## About the Video Course
Machine Learning is a growing and in-demand skill but until now JavaScript developers have not been able to take advantage of it due to the steep learning curve involved in learning a new language. This course shows you various machine learning techniques in a practical way and helps you implement them using the JavaScript language.
Hands-On Machine Learning using JavaScript gives you the opportunity to use the power of machine learning (without installing additional software on the customer's computer) and make them feel safe as the data resides in the system. This course covers basic as well as advanced topics in Machine Learning and gives a holistic picture of the JavaScript machine learning ecosystem by making use of libraries to design smarter applications. 
By the end of this course, you'll have gained hands-on experience in evaluating and implementing the right model using the power of JavaScript.

<H2>What You Will Learn</H2>
<DIV class=book-info-will-learn-text>
<UL>
<LI>Learn some common techniques to troubleshoot a Vue application&nbsp; 
<LI>Learn common mistakes that Vue.js developers make 
<LI>Understand what the Error object is telling you 
<LI>Know why some elements don’t show up 
<LI>Understand and proper use of Vue directives in a template 
<LI>Understand Vue’s reactivity system to prevent unwanted update side effects 
<LI>Learn how changes to a list is not reactive and how to overcome such pitfall 
<LI>Learn to use the 8 lifecycle hooks for testing and debugging 
<LI>Learn to optimize and organize components to improve performance 
<LI>Know and understand the restrictions between components and elements 
<LI>Learn the advantages of Vue’s Single-File Component (SFC) and separation of concerns (SOC) 
<LI>Correct common routing issues 
<LI>Know when to use render functions over a bloated template </LI></UL></DIV>

## Instructions and Navigation
### Assumed Knowledge
To fully benefit from the coverage included in this course, you will need:<br/>
If you are a JavaScript developer and want to implement machine learning to make applications smarter, gain insightful information from data, and enter the field of machine learning without switching to another language, this course is for you. Working knowledge of JavaScript is assumed.
### Technical Requirements
This course has the following software requirements:<br/>
<H2>Operating system:</H2>
<LI>Linux, Windows or Mac</LI>
<LI>Browser: Chrome (Latest)</LI>
<LI>Node.js Installed</LI>



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