Free computers and the internet Kindle books for 15 Feb 18

ITIL: ITIL Tutorial for Beginners

by Dennis Hutten

ITIL is a framework providing best practice guidelines on all aspects of end to end service management. It covers complete spectrum of people, processes, products and use of partners.

Now a day’s ITIL is being practiced by almost every company providing IT services to the customers.

This tutorial has been prepared for the students as well as professionals to ramp up quickly. This tutorial is a stepping stone to ITIL certification.

Before proceeding with this tutorial you should know the basic terms such as Information Technology, Infrastructure, Services, and Service Level Agreements etc. Hence it is strongly recommended to go through ITIL Terminologies chapter before proceeding further.

Deep Learning: Deep Learning for the Layman. Visual Guide without Maths added (Data Sciences Book 3)

by François Duval

Are you thinking of learning more about Deep Learning without Maths?

This book has been written in layman’s terms as an introduction to deep learning and neural networks and their algorithms. Each algorithm is explained very easily for more understanding.

 Several Visual Illustrations and Examples

Instead of tough math formulas, this book contains several graphs and images which detail all algorithms and their applications in all area of the real life.

Why this book is different ?

This book will help you explore exactly what deep learning is and will also teach you about why it is so revolutionary and fascinating. The chapters will introduce the reader to the concepts, techniques, and applications of deep learning algorithms with the practical case studies and walk-through examples on which to practice.

This book takes a different approach that is based on providing simple examples of how deep learning algorithms work, and building on those examples step by step to encompass the more complicated parts of the algorithms. 

Target Users

The book designed for a variety of target audiences. The most suitable users would include: 

  • Beginners who want to approach deep learning, but are too afraid of complex math to start

  • Newbies in computer science techniques and deep learning
  • Professionals in data science and social sciences
  • 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 neural networks and deep learning

What’s inside this book?

  • Deep Learning: What & Why?
  • Pre-requisite for Deep Learning
  • Artificial Neural Networks: what and why?
  • General Presentation of Deep Learning
  • Multilayer Perceptron and Backpropagation: How they are work?
  • Convolutional Neural Networks (CNN): How it is works?
  • Other Deep Learning Algorithms
  • Deep Learning Applications
  • Our Future with Deep Learning Applied
  • The Long-Term Vision of Deep Learning

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