Human context is the best way to think about artificial intelligence. AI captured the world the day it came out. From Alexa to Siri, all of these took the load off people’s heads. AI’s goal is to make systems independent and intelligent at the same time.
Every company’s and public interest in this new future is arising day by day. But for some people, AI is still tough to learn. For solving this issue, here’s a list of 5 books that will help you get started with the basics of AI.
1. Artificial Intelligence-A Modern Approach (3rd Edition)
Author: Stuart Russel & Peter Norwich.
If you want to start exploring Artificial Intelligence but fear about all the jargons used in this field, then this is the perfect book for you. It is recommended for students who wish to learn about AI while continuing their studies. It has all the knowledge that is required in comprehensive terms.
2. Life 3.0: Being Human in the Age of Artificial Intelligence
Author: Max Tegmark
This book discusses the future of AI in terms of humanity. It also highlights the changes brought by Artificial Intelligence. This text is all about the importance of AI and the issues around it in today’s world. With it, we can have more awareness about the upcoming future and what we want.
3. Artificial Intelligence: The basics
Author: Kevin Warwick
The author provides an explanation of the working of the machine world. If you think AI is not of your type, but still wish to know about it then this book contains a brief about it. It also gives an overview of AI’s different aspects and methods of its implementation.
4. Speech and Language Processing
Author: Daniel Jurafsky, James H. Martin
The authors have a huge amount of knowledge about and in relation to the field of natural language processing. The book consists of an idea about computational logistics with logical organization.
It includes topics such as Machine Translation, Information Extraction, Question Answering and Summarization, and Dialogue and Conversational Agents. If you are interested in language and speech processing, this is a great grab for you!
5. Deep Learning (Adaptive Computation and Machine Learning Series)
Author: Ian Goodfellow, Yoshua Bengio, Aaron Courville
This book brings out all the broad aspects of deep learning. It consists of a mathematical and conceptual background. Topics about linear algebra, information theory, machine learning, and numerical computation are covered in this book. It also highlights the deep learning techniques used by practitioners. Those who have an interest in the field of research and machine learning, this book is completely for them.