6 essential books if you are going to study Artificial Intelligence
Because of the increasing importance and popularity of Artificial Intelligence (AI) in the last decade, more and more people seem interested about it. Some of them usually just google about it in order to learn basic facts, while others decide to get deeper into this technology’s understanding. If you are part of the second group of people, and you are also thinking about studying a masters related to AI, this post is for you. Discover 6 of the most essential books about Artificial Intelligence right now if you continue reading.
1) Make Your Own Neural Network
This is a popular book written by Tariq Rashid. A step-by-step journey through the mathematics of neural networks, and making your own using the Python computer language. Neural networks are a key element of artificial intelligence, which today is capable of incredible things. However, not many people really understand how neural networks actually work. In this case, part 1 of the book talks about various mathematical concepts of neural networks. On the other hand, part 2 is completely practical and introduces you to Python programming language. That way, it helps you to create your neural network. On top of that, it helps you recognize human handwritten numbers and some other AI techniques.
2) TensorFlow in 1 Day: Make your own Neural Network
This book is considered the most popular deep learning library available nowadays. It has a fantastic graph computations feature which helps you to visualize and designed neural network. This machine learning book supports both Convolution as well as Recurrent Neural network. Other machine learning models supported by the book are Deep Learning Classification, Boston Tree, and wipe & deep. On top of that, TensorFlow includes complete professional artificial intelligence exercises with very detailed examples. A total must-read.
3) Deep Learning (Adaptive Computation and Machine Learning series)
The best-seller book in machine learning. An incredible book that offers a mathematical and conceptual background, and relevant notions in linear algebra, probability and information theory. You will also reade about many important deep learning techniques widely used in industry. For example, it includes regularization, optimization algorithms or sequence modeling. Additionally, the book offers research-related information like linear factor models, autoencoders, the partition function, etc. You cannot forget to read this one.
4) Artificial Intelligence: A Modern Approach
The most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence you will find. This book offers a basic conceptual theory and acts as complete reference material for beginners. The book is aimed to help students in undergraduate or graduate-level courses in Artificial Intelligence. This is because it gives you detailed information about the changes that have taken place in the field of artificial intelligence in the last decade. Moreover, it explains many of the applications of AI technology like deployment of practical speech recognition, machine translation or household robotic.
5) Python Machine Learning
A book written by Sebastian Raschka, one of the most influential data scientist in the world. In Python Machine Learning, Raschka gives you access to the world of predictive analytics. In the book, he will also help you to understand the best methods and strategies to improve and optimize machine learning systems and algorithms. What is more, if you really want or need to know how to use Python, this is the book for you. Even if you have to start from the beginning, this book will guide you towards the end.
6) Deep Learning with R
Deep Learning with R is for developers and data scientists with some R experience who want to use deep learning to solve real-world problems. This book introduces you to deep learning using the Keras library and its R language interface. It will also help you to set up your deep learning environment and practise yout new skills. You will do so with R-based applications in computer vision, natural language processing, and generative models. If you are a student with just a little knowledge of deep learning or artificial intelligence, this is the perfect book for you.
Do you like any of these books? Do you think they are interesting? If you want to learn more deeply about Artificial Intelligence, what we suggest you is to study a master. For example, the Master in Artificial Intelligence for the University of Alcalá. A master that will provide you the tools to understand how AI works. It will also help you to put into perspective the impact of artificial sensing, cognition and action in areas such as Finance, Medicine of Arts. Do not hesitate more, and join our master now!