Machine Learning Box Set: 2 Books in 1

De: John Slavio

Narrado por: Russell Archey

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

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.

Clear and concise

This is the best machine learning book. The author breaks things done into simple easy to understand components. I now have a better understanding of what the ML engineers are discussing.

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.

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.

Great job

Gives a great introduction while instigating your curiosity to explore and learn more. Love it. Would request the author to write a sequel.