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Learn Machine Learning with JavaScript 2020

Learn Machine Learning with JavaScript. :- Machine learning is an application of artificial intelligence (AI) that gives the system the ability to learn and improve from the experience without having to program anything. It is the one of the most powerful technology in today’s world. There’s no doubt, it will be making headlines for the future. The goal of Machine Learning is to focus on the development of computer programs and can access its data.

Machine learning is used to find the layers inside the data. Most people are unaware that we already interact with machine learning every day. When we do something on Google, we listen to the song and find something, then machine learning is becoming a part of it and every time it is improving and learning. It has some more interesting topics such as – Language Processing, Self Driving Cars, Computer Vision. It’s right time to learn more about new technologies.

How you will understand Machine Learning with JavaScript.

JavaScript is making ML easier to understand, it also opens new possibilities for apps that you can build. Machine Learning with JavaScript is plain easier to learn than with Python. Although it is popular language, Python is an ‘expressive’ language, which it means ‘a confusing language’. A single line of Python will contain a brilliant amount of functionalities; that would be great when you understand the language and the subject matter.

The topic details are :

  1. How to assemble machine learning algorithms, make applications using JavaScript and ML techniques
  2. How to optimize your algorithms with advanced performance and implement the low-level features of Tensorflow JS to supercharge your algorithms
  3. Learn how to grow a strong intuition of ML with best practices
  4. Know applications of Tensorflow, Gradient Descent and Gradient Descent with Tensorflow
  5. Learn how to Increase Performance with Vectorized Solutions
  6. Know Plotting Data with Javascript, Gradient Descent Alterations and Natural Binary Classification
  7. Also learn Multi-Value Classification, Image Recognition In Action and Performance Optimization

You will understand its applications, loops and algorithms deeply by this course. The instructor of this course is  Mr. Stephen Grider.

Stephen Grider is an Engineering Architect. Around 549k+ students are subscribed to him. He explains every course with the simple concepts. Currently, He has been building complex JavaScript front ends for top corporations in the San Francisco Bay Area.

This course is 4.6 rating(1k+) and 17k+ students are enrolled in this course. The course is updated recently on March, 2020.
You are getting :-
  • 17.5 hours on-demand video
  • 2 articles
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV

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