Artificial Intelligence and Deep Learning for Decision Makers

Learn modern-day technologies from modern-day technical giants

Key Features

● Real-world success and failure stories of artificial intelligence explained
● Understand concepts of artificial intelligence and deep learning methods
● Learn how to use artificial intelligence and deep learning methods
● Know how to prepare dataset and implement models using industry leading Python packages
● You’ll be able to apply and analyze the results produced by the models for prediction

Description

The aim of this book is to help the readers understand the concept of artificial intelligence and deep learning methods and implement them into their businesses and organizations.
The first two chapters describe the introduction of the artificial intelligence and deep learning methods. In the first chapter, the concept of human thinking process, starting from the biochemical responses within the structure of neurons to the problem-solving steps through computational thinking skills are discussed.
All chapters after the first two should be considered as the study of different technological and Artificial Intelligence giants of current age. These chapters are placed in a way that each chapter could be considered a separate study of a separate company, which includes the achievements of intelligent services currently provided by the company, discussion on the business model of the company towards the use of the deep learning technologies, the advancement of the web services which are incorporated with intelligent capability introduced by company, the efforts of the company in contributing to the development of the artificial intelligence and deep learning research.

What will you learn

How to use the algorithms written in the Python programming language to design models and perform predictions in general datasets
Understand use cases in different industries related to the implementation of artificial intelligence and deep learning methods
Learn the use of potential ideas in artificial intelligence and deep learning methods to improve the operational processes or new products and how services can be produced based on the methods

Who this book is for

This book is targeted to business and organization leaders, technology enthusiasts, professionals, and managers who seek knowledge of artificial intelligence and deep learning methods.

Table of Contents

1. Artificial Intelligence and Deep Learning
2. Data Science for Business Analysis
3. Decision Making
4. Intelligent Computing Strategies By Google
5. Cognitive Learning Services in IBM Watson
6. Advancement web services by Baidu
7. Improved Social Business by Facebook
8. Personalized Intelligent Computing by Apple
9. Cloud Computing Intelligent by Microsoft