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

By Arish Ali
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About this video

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

Publication date:
December 2018
Publisher
Packt
Duration
2 hours 8 minutes
ISBN
9781789613155

About the Author
  • Arish Ali

    Arish Ali started his machine learning journey 5 years ago by winning an all India machine learning competition conducted by Indian Institute of Science and Microsoft. He was a data scientist at Mu Sigma, one of the biggest analytics firms in India. He has also worked on some of the cutting edge problems of Multi-Touch Attribution Modelling, Market Mix Modelling, 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 North-western University (SPS). Currently, he is working at a mental health startup called Bemo as an AI developer where his role is to help automate the therapy provided to users and make it more personalized.

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