Free pdf Artificial Intelligence for Dummies

Free pdf Artificial Intelligence for Dummies

What is artificial intelligence for dummies?

“Artificial Intelligence for Dummies” is a free PDF book written by John Paul Mueller and Luca Massaron. It is designed to provide an introductory-level understanding of AI for individuals who are new to the field.

  • Author: Bruce Ratner
  • Edition: 2nd Edition
  • Publisher: For Dummies; 2nd edition
  • Published: November 10, 2021
  • Language: English
  • Pages: 339 Pages
  • File Size: 10.0 MB
  • ISBN: 978-1119796763

A subfield of computer programming called artificial intelligence (AI) for dummies pdf is concerned with building machines that can carry out activities that ordinarily require human intelligence. The idea is to create machines that can reason, learn, and act autonomously, in a way that mimics human thought processes. This book considers general books.

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There are many different techniques and technologies used in Artificial Intelligence for Dummies book, including machine learning book, deep learning, natural language processing, robotics, and computer vision. These technologies allow machines to analyze vast amounts of data, learn from that data, and make decisions or predictions based on what they have learned.

About Author

John Mueller is a prolific author of technology and technical books, with over 100 titles to his credit. He has written on topics ranging from Microsoft technologies, Java programming, cybersecurity, and artificial intelligence. Some of his well-known works include "Windows 10 All-In-One for Dummies," "Java All-In-One for Dummies," and "Networking for Dummies."

Mueller has been working in the technology industry for over 35 years and has held various positions, including software developer, consultant, and technical writer. He has also contributed to numerous technical publications and websites, including Developer.com, WebReference.com, and JavaWorld.com.

In "Artificial Intelligence for Dummies," Mueller co-authored the book with Luca Massaron, an experienced data scientist and machine learning practitioner. Together, they provide an accessible introduction to the field of AI for beginners.

Luca Massaron is an Italian data scientist, author, and consultant. He has over 20 years of experience in the field of data analytics and has worked with several multinational companies and organizations.

Massaron is the author of several books on data science, machine learning, and predictive analytics, including "Python Machine Learning," "Data Science with Python," and "Applied Deep Learning with Keras." He is also a regular speaker at conferences and events on data science and machine learning. Also, write the Artificial Intelligence for Dummies book.

In addition to his work as an author and consultant, Massaron is a lecturer at some of the top universities in Italy, where he teaches courses on data science and machine learning.

About Book:

The book is divided into different sections, each focusing on a specific aspect of AI. The first section provides an overview of AI and its history, explaining what AI is and how it has evolved over time. The authors also discuss the different types of AI and the various applications of AI in the real world.

The second section delves into machine learning, which is a critical aspect of AI. It explains what machine learning is and how it works, with examples of machine learning algorithms and techniques. The authors also discuss the different types of machine learning, such as supervised, unsupervised, and reinforcement learning.

The third section of the book focuses on deep learning, which is a more advanced type of machine learning that uses neural networks. The authors explain how deep learning works and its applications in fields such as image recognition, speech recognition, and natural language processing.

The fourth section covers robotics, which is an area where AI has made significant progress in recent years. The authors explain the basics of robotics and how AI is used to control robots and make them more intelligent.

The fifth and final section of the book discusses the ethical and social implications of AI. The authors examine the potential risks and benefits of AI and how society can ensure that AI is used for good rather than harm.

Overall, "Artificial Intelligence for Dummies" provides a comprehensive introduction to Artificial Intelligence for Dummies, covering everything from its history and basic concepts to the latest advances in machine learning and robotics. It is an excellent resource for anyone who wants to learn more about this exciting and rapidly evolving field.

Table of Contents

First Part: INTRODUCING AI

  • Chapter 1: Introducing AI
  • Chapter 2: Defining the Role of Data
  • Chapter 3: Considering the Use of Algorithms
  • Chapter 4: Pioneering Specialized Hardware

Second Part: CONSIDERING THE USES OF AI IN SOCIETY

  • Chapter 5: Seeing AI Uses in Computer Applications
  • Chapter 6: Automating Common Processes
  • Chapter 7: Using AI to Address Medical Needs
  • Chapter 8: Relying on AI to Improve Human Interaction

Third Part: WORKING WITH SOFTWARE-BASED AI APPLICATIONS

  • Chapter 9: Performing Data Analysis for AI
  • Chapter 10: Employing Machine Learning in AI
  • Chapter 11: Improving AI with Deep Learning

Four Part: WORKING WITH AI IN HARDWARE APPLICATIONS

  • Chapter 12: Developing Robots
  • Chapter 13: Flying with Drones
  • Chapter 14: Utilizing the AI-Driven Car

Five Part: CONSIDERING THE FUTURE OF AI

  • Chapter 15: Understanding the Nonstarter Application
  • Chapter 16: Seeing AI in Space
  • Chapter 17: Engaging in Human Endeavors

Six Part: THE PART OF TENS

  • Chapter 18: Ten Occupational Categories that AI Can’t Replace
  • Chapter 19: Ten Substantial Contributions of AI to Society
  • Chapter 20: Ten Ways in Which AI Has Failed

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