Artificial Intelligence with Python – Second Edition

Artificial Intelligence with Python, 2nd Edition

eBook Details:

  • Paperback: 618 pages
  • Publisher: WOW! eBook (January 31, 2020)
  • Language: English
  • ISBN-10: 183921953X
  • ISBN-13: 978-1839219535

eBook Description:

Artificial Intelligence with Python, 2nd Edition: New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x and TensorFlow 2, with seven new chapters that cover RNNs, AI & Big Data, fundamental use cases, chatbots, and more

Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x and TensorFlow 2. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications.

This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data.

  • Understand what artificial intelligence, machine learning, and data science are
  • Explore the most common artificial intelligence use cases
  • Learn how to build a machine learning pipeline
  • Assimilate the basics of feature selection and feature engineering
  • Identify the differences between supervised and unsupervised learning
  • Discover the most recent advances and tools offered for AI development in the cloud
  • Develop automatic speech recognition systems and chatbots
  • Understand RNNs and various DL models

Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.

DOWNLOAD

9 Responses

  1. June 24, 2020

    […] Artificial Intelligence (AI) has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples. […]

  2. July 15, 2020

    […] Artificial Intelligence (AI) continues to grow in popularity and disrupt a wide range of domains, but it is a complex and daunting topic. In this book, you’ll get to grips with building deep learning apps, and how you can use PyTorch for research and solving real-world problems. […]

  3. September 3, 2020

    […] the end of this Mobile Artificial Intelligence Projects book, you will have developed exciting and more intuitive mobile applications that […]

  4. September 3, 2020

    […] the end of this Mobile Artificial Intelligence Projects book, you will have developed exciting and more intuitive mobile applications that […]

  5. September 18, 2020

    […] intelligence transform your business? In Zero to AI, you’ll explore a variety of practical Artificial Intelligence (AI) applications you can use to improve customer experiences, optimize marketing, help you cut costs, […]

  6. September 18, 2020

    […] isn’t deciding which problems you can solve. It’s deciding which problems you should solve. Artificial Intelligence (AI) systems with great funding and top talent will still fail if they aren’t answering […]

  7. September 18, 2020

    […] isn’t deciding which problems you can solve. It’s deciding which problems you should solve. Artificial Intelligence (AI) systems with great funding and top talent will still fail if they aren’t answering […]

  8. October 27, 2020

    […] intelligence techniques and program agile artificial intelligence applications using Pharo. This Agile Artificial Intelligence in Pharo book takes a practical approach by presenting the implementation details to illustrate […]

  9. November 16, 2020

    […] Explainable AI (XAI) with Python: Resolve the black box models in your AI applications to make them fair, trustworthy, and secure. […]

Leave a Reply

Your email address will not be published. Required fields are marked *

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.