Best books for artificial intelligence and machine learning-

Best books For Artificial Intelligence And Machine Learning For Beginners

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Last Updated on March 18, 2021

Best books For Artificial Intelligence And Machine Learning For Beginners. If you want to learn Artificial intelligence then books are a necessary thing to groom your Knowledge. Selecting the best book is not an easy task Don’t worry about this we will provide you Best books for Artificial intelligence and machine learning which are suitable for artificial intelligence and machine learning. Artificial intelligence is all around us and changes our lives and makes it easy and advanced.

Artificial intelligence and machine learning is very fast field and provide very hot job in the market this will also increase in the future. That’s many people are interested in Artificial intelligence and machine learning and want to build a career in this field.

Books are very Popular for learning so books are a great way to learn everything also we learn Artificial intelligence and machine learning in this way.

List of Best books For Artificial Intelligence And Machine Learning For Beginners

  • Artificial Intelligence with Python: Your complete guide to building intelligent apps using Python 3.x, 2nd Edition
  • Intelligence-Based Medicine: Artificial Intelligence and Human Cognition in Clinical Medicine and Healthcare 
  • Artificial Intelligence: 101 Things You Must Know Today About Our Future
  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
  • Artificial Intelligence: A Guide for Thinking Humans Paperback
  • Machine Learning Engineering Paperback

Best books for artificial intelligence and machine learning

Artificial Intelligence with Python

You will learn

  • 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
  • Apply AI algorithms to time series data
  • Introduction to Artificial Intelligence
  • Fundamental Use Cases for Artificial Intelligence
  • Machine Learning Pipelines
  • Feature Selection and Feature Engineering
  • Classification and Regression Using Supervised Learning
  • Predictive Analytics with Ensemble Learning
  • Detecting Patterns with Unsupervised Learning
  • Building Recommender Systems
  • Logic Programming
  • Heuristic Search Techniques
  • Genetic Algorithms and Genetic Programming
  • Artificial Intelligence on the Cloud
  • Building Games with Artificial Intelligence
  • Building a Speech Recognizer
  • Natural Language Processing
  • Chatbots
  • Sequential Data and Time Series Analysis
  • Image Recognition
  • Neural Networks
  • Deep Learning with Convolutional Neural Networks
  • Recurrent Neural Networks and Other Deep Learning Models
  • Creating Intelligent Agents with Reinforcement Learning
  • Artificial Intelligence and Big Data

Intelligence-Based Medicine: Artificial Intelligence and Human Cognition in Clinical Medicine and Healthcare 

Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provide a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real-life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced. 

Artificial Intelligence: 101 Things You Must Know Today About Our Future

This book is divided into ten chapters:

  • Chapter I: Introduction to Artificial Intelligence
  • Chapter II: How Artificial Intelligence Is Changing Many Industries
  • Chapter III: How Artificial Intelligence Is Changing Business Processes
  • Chapter IV: Chatbots and How They Will Change Communication
  • Chapter V: How Artificial Intelligence Is Changing the Job Market
  • Chapter VI: Self-Driving Cars and How They Will Change Traffic as We Know It
  • Chapter VII: Robots and How They Will Change Our Lives
  • Chapter VIII: Artificial Intelligence Activities of Big Technology Companies
  • Chapter IX: Frequently Asked Questions About Artificial Intelligence Part I
  • Chapter X: Frequently Asked Questions About Artificial Intelligence Part 2

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

  • Explore the machine learning landscape, particularly neural nets
  • Use Scikit-Learn to track an example machine-learning project end-to-end
  • Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods
  • Use the TensorFlow library to build and train neural nets
  • Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning
  • Learn techniques for training and scaling deep neural nets.

Artificial Intelligence: A Guide for Thinking Humans Paperback

Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.

Machine Learning Engineering Paperback

“If you intend to use machine learning to solve business problems at scale, I’m delighted you got your hands on this book. Enjoy!”

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