Mastering Deep Learning: A Complete Introduction for Beginners and Newbies

by James Gabriel, AI Sciences Publishing (Editor)

Overview

Are you thinking of mastering deep learning fundamentals?

If you are looking for a complete introduction to deep learning, this book is for you.
If you have just heard about deep learning and data science, this book is the right place to start. And if you are amazed by cool projects built by others and you want to build one of those yourself, this book is definitely for you. Not only that, if you're going to start an exciting new career which can provide you with both financial and intellectual satisfaction, this book will assist you to reach that goal.

From AI Sciences Publisher

Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. Readers are advised to adopt a hands on approach, which would lead to better mental representations.

Target Users

• Beginners who want to approach deep learning, but are too afraid of complex math to start
• Newbies in data science and computer science techniques
• Professors, lecturers or tutors who are looking to find better ways to explain the content to their students in the simplest and easiest way
• Students and academicians, especially those focusing on deep learning and machine learning

What's Inside This Book?

• Data Science and Deep Learning
• Machine Learning and Deep Learning Introduction
• Artificial Intelligence, Machine Learning and Deep Learning
• A brief history of Machine Learning
• What is Deep Learning?
• Why Deep Learning?
• The Math behind Machine Learning
• Data representation for neural networks
• Probability, Conditional Probability and Distributions
• Fundamentals of Machine Learning
• Supervised Learning
• Unsupervised Learning
• Self-supervised Learning
• Reinforcement Learning
• Machine learning algorithms
• Linear Regression
• Logistic Regression
• Support Vector Machine
• K-means Clustering
• Evaluation of machine learning models
• Overfitting and Underfitting
• Foundations of Neural Networks and Deep Learning
• Artificial Neural Networks
• The Biological Neuron
• The Perceptron
• Multilayer Feed-Forward Networks
• Anatomy of a neural network
• Neural Networks tensor operations
• Training Neural Networks
• First Neural networks example
• Feed Forward Neural Network
• Common Deep Network Components
• Practical Considerations in Deep Learning
• Regularization
• Major Architectures of Deep Networks
• Convolutional Neural Network
• Recurrent Neural Network
• Recursive Neural Network
• Sources & References

Frequently Asked Questions

Q: Does this book include everything I need to become a deep learning expert?
A: Unfortunately, no. This book is designed for readers taking their first steps in machine learning and deep learning further learning will be required beyond this book to master all aspects.

Q: Can I have a refund if this book doesn't fit for me?
A: Yes, B&N refund you if you aren't satisfied, for more information about the B&N refund service please go to the B&N help platform.

Product Details

ISBN-13:	9781733570619
Publisher:	AI SCIENCES LLC
Publication date:	01/17/2019
Pages:	152
Product dimensions:	6.00(w) x 9.00(h) x 0.33(d)

About the Author

About us

We are a group of experts, PhD students and young practitioners of Artificial Intelligence, Computer Science, Machine Learning and Statistics. Some of us work in big companies like Google, Facebook, Microsoft, KPMG, BCG and Mazars. Others are research professors in prestigious American and European universities and have taught these techniques for years at MIT, Standford, Oxford, Ecole Polytechnique, Standford and Imperial College of London. Others end up working in small startups like Quantrimetry, Keyrus and TNP.
We decided to produce a series of books mainly dedicated to beginners and newcomers on the techniques and methods of Machine Learning, Statistics, Artificial Intelligence and Data Science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory and without a long reading. Today we also publish more complete books on some topics for a wider audience.

About our books

Our books have had phenomenal success and they are today among the best sellers on Amazon. Our books have helped many people to progress and especially to understand these techniques, which are sometimes considered to be complicated rightly or wrongly.
The books we produce are short, very pleasant to read. These books focus on the essentials so that beginners can quickly understand and practice effectively. You will never regret having chosen one of our books.
We also offer you completely free books on our website: Visit our site and subscribe in our Email-List: www.aisciences.net
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