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Artificial Intelligence is the latest technological trend many people want to learn it. There is so much learning material available online for AI that selecting the right book to learn AI is a difficult job.

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

1) Make Your Own Neural Network

Make Your Own Neural Network is a popular book 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.



2) TensorFlow 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.




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, autoencoders, structured probabilistic models, the partition function, etc.



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.


5) Python Machine Learning, 1st Edition

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.



6) Deep Learning with R

Deep Learning with R introduces you to a universe of deep learning using the Keras library and its R language interface. It is written for Python as Deep Learning with Python by Keras creator and Google.

The books help you set up your deep-learning environment. You can also practice your new skills with R-based applications in computer vision, natural language processing, and generative models. Moreover, to learn this course, you don't need any previous experience of machine learning or deep learning.

 

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