Machine Learning Box Set: 2 Books in 1

Narrated by: Russell Archey
Length: 3 hrs and 38 mins
4.5 out of 5 stars (30 ratings)

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Publisher's Summary

Machine Learning Box Set (2 Books in 1) 

Book 1: Machine Learning This book is an introduction to basic machine learning and artificial intelligence. It gives you a list of applications, and also a few examples of the different types of machine learning. 

Here's a preview of what you'll learn:  

  • Introduction to machine learning
  • Different applications of machine learning
  • Introduction to statistics for machine learning
  • Supervised learning
  • Unsupervised learning
  • Reinforced learning
  • Conclusion

Book 2: Neural Networks 

Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to achieve this. Neural Networks are good at processing complex, non-linear relationships and are used in forecasting, image processing, and character recognition. 

Here's what you'll learn:

 

  • What are artificial neural networks?
  • Fundamentals of neural networks
  • Activation paradigms
  • Learning paradigms
  • Multilayer perceptron
  • Practical application - text recognition
  • Practical application - image processing
  • Problems with neural networks

Buy this audiobook today!  

©2018 Kumar (P)2018 Kumar

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    5 out of 5 stars

Great book - detailed and practical.

This is the best book I've seen for professional software engineers to bootstrap themselves into Data Science, Machine Learning and (with the 2nd ed) Deep Learning. It makes heavy use of the scikit-learn library; and the latter chapters give an excellent high-level overview of TensorFlow. Books in this space can often feel either too basic or too academic. Not this one -- for me it hits the sweet spot of explaining and doing.

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(python code : ) 27%65 - sucks as audible

This book never should have been made into an audible. I REALLY want my money back. After the first 12 minutes of listening to python syntax and punctuation being read I never went back to this absurd thing which might have been a good book (which I don't know because I couldn't get the content through this ridiculous medium for such a book) but it is an unusable product as an aloud reading.

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Practical information

Really informative! This is a great resource for anyone looking to gain conceptual aspects of data science as well as some practical, production-ready techniques. Highly recommend.

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Good Narrator

It covers a vast majority of different techniques and trying to present the ideas and intuitions why this method works or how this method is an implementation of a simpler idea, e.g.various obvious or hidden implementations of lasso regularization.

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very pleased with this book

The book is an introduction to machine learning techniques which covers many of the topics without going into any detailed explanations. The focus is on how to use and understand ML rather than the math behind the algorithms.

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brilliant!

Written quite in an informal and accessible style, the book has covered both theoretical concepts and practical applications. info on incorporating practical steps of using machine learning algorithms. I gained an intuitive understanding of the concepts and tools surrounding machine learning

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a beginner-friendly version

This work by John Slavio has explained thoroughly the various machine learning algorithms mathematically from a statistical perspective. Truly a beginner friendly version waiting to be discovered.

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One great introductory.

I was able to understand the importance of using machine learning algorithms with this piece. One great introductory to start with. Every reader who’s looking forward to studying ML should grab this.

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Speeds up my learning.

Helps readers speed up with machine learning. Every data scientist would recommend this with its accurate and updated details. It’s even delivered in a fascinating way, leaving no room for dull moments.

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Good enough.

Obviously it’s my favorite machine learning book. I’ve never come across a book like this created in a very organized way that I didn’t have so much difficulty understanding the flow of the discussion.