Top Best books for AI(Artificial Intelligence)

                   Top Best books for AI 

What is AI?

Artificial intelligence has been the stuff of mad dreams, and sometimes nightmares, throughout our collective history. We've come a long way from a 15th-century automaton knight crafted by Leonardo da Vinci. Within the past century, artificial intelligence has inched itself further into our realities and day to day lives and there is now no doubt we're entering into a new age of intelligence.

In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals. Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.^[1] Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving".

Here, we have given the list top books which give you basic to advance information in easy to understand language.

1)MAKE YOUR OWN NEURAL NETWORK

                                         

This book is written by Tariq Rashid. It is a step by step journey through the mathematics of neural networks. It also helps you to create your Neural network using the Python programming language.

Part 1 of the book talks about various mathematical concepts of neural networks. Part 2 is completely practical which helps you to learn Python programming language and helps you to create your neural network. It helps you to learn how to recognize human handwritten numbers and some other AI techniques.

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2:TENSOR FLOW IN 1 DAY:MAKE YOUR OWN NEURAL         NETWORK

                            

TensorFlow is the most popular Deep Learning Library available in the market. It has a most authentic graph computations feature which helps you to visualize and designed neural network. This useful Machine learning book offers both convolutions as well as Recurrent Neural network.

Machine learning models supported by TensorFlow like Deep Learning Classification, Boston Tree, and wipe & deep layer methods are covered in the book. The book includes complete professional deep learnings practices with detailed examples.

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3:DEEP LEARNING (ADAPTIVE COMPUTATION AND MACHINE LEARNING SERIES)

This deep learning book offers a mathematical and conceptual background, and relevant concepts in linear algebra, probability and information theory, and machine learning.

The book describes many important deep learning techniques widely used in industry, which includes regularization, optimization algorithms, sequence modeling. This book also offers research-related information like linear factor models, auto encoders , structured probabilistic models, the partition function, etc.

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4:ARTIFICIAL INTELLIGENCE :A MODERN APPROACH

                               

This book offers a basic conceptual theory of artificial intelligence. It acts as complete reference material for beginners. It helps students in undergraduate or graduate-level courses in Artificial Intelligence.

This edition gives you detailed information about the changes that have taken place in the field of artificial intelligence from its last edition. There are many important applications of AI technology like deployment of practical speech recognition, machine translation, household robotic that are explained in detailed.

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5:PYTHON MACHINE LEARNING BY EXAMPLE

                          

Python Machine Learning book gives you access to the world of predictive analytics. It helps you to learn the best practices and methods to improve and optimize machine learning systems and algorithms.

Wants to find out how to use Python? Then you should pick up Python Machine Learning. The book helps you to get started from scratch, or helps you to extend your data science knowledge.

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6:MACHINE LEARNING WITH PYTHON COOKBOOK

                            

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topics.

Each recipe includes code that you can copy and paste into a toy dataset to ensure that it actually works. From there, you can insert, combine, or adapt the code to help construct your application. Recipes also include a discussion that explains the solution and provides meaningful context. This cookbook takes you beyond theory and concepts by providing the nuts and bolts you need to construct working machine learning applications.

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These are the some books which gives you lots of knowledge about AI and ML .

            Language that are  most used in AI and ML are 

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