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Hands-On Machine Learning with TensorFlow.js [Video]

More Information
Learn
  • Solve real-world problems such as predicting mental health issues
  • Use clustering algorithms to understand customer behavior and categorize customers
  • Train your machine learning models and work with different kinds of data
  • Work with powerful algorithms using the pre-written libraries in Python
  • Recognize images using a webcam
  • Get insights into how neural networks work
  • Boost your model performance
About

Machine learning is a growing and in-demand skill, but so far JavaScript developers have not been able to take advantage of it due to the steep learning curve involved in learning a new language. TensorFlow.js is a great way to begin learning machine learning in the browser with TensorFlow.js. It allows you to operate offline to train new models and retrain existing models.

This course covers most of the major topics in machine learning and explains them with the help of Tensorflow.js implementations. The course is focused on the result-oriented nature of most JavaScript developers, and focuses on Tensorflow.js to the fullest in the least amount of time.

At the end of the course, you’ll evaluate and implement the right model to design smarter applications.

The code files are placed at: https://github.com/PacktPublishing/Hands-on-Machine-Learning-with-TensorFlow.js

Style and Approach

This is an application-focused course offering practical and actionable guidance with step-by-step instructions. This course will enable you to develop your own machine learning models and methods to use them efficiently in the browser or a node js server.

Features
  • Covers a broad range of topics in machine learning including the trending areas of Deep Neural Networks and Convolutional Neural Networks
  • A hands-on application-focused course that provides an intuitive understanding of many machine learning algorithms
  • Learn to build and train different machine learning models on the browser or a node js server
Course Length 2 hours 8 minutes
ISBN 9781789613155
Date Of Publication 28 Dec 2018

Authors

Arish Ali

Arish Ali started his machine learning journey 5 years ago by winning an all India machine learning competition conducted by IISC and Microsoft. He was a data scientist at Mu Sigma, one of the biggest analytics firms in India. He has worked on some of the cutting-edge problems of Multi-Touch Attribution Modeling, Market Mix Modeling, and Deep Neural Networks. He has also been an Adjunct faculty for Predictive Business Analytics at Bridge School of Management, which offers its course in Predictive Business Analytics along with Northwestern University (SPS).
He worked at a mental health start-up called Bemo as an AI developer where his role was to help automate the therapy provided to users and make it more personalized. He is currently the CEO at Neurofy Pvt Ltd, a people analytics start-up.

LinkedIn: https://www.linkedin.com/in/arish813/