artificial intelligence (ai) has advanced considerably in recent years, and the emergence of long language models (LLMs) has marked a major milestone in its growth. With such widespread adoption, it is not uncommon to feel left out of this revolution. One way to stay up to date with the latest trends is by reading books on various facets of ai. Listed below are the best books on ai that you should read in 2024.
Deep Learning (Adaptive Computing and Machine Learning Series)
This book covers a wide range of deep learning topics along with their mathematical and conceptual background. It also provides information on different deep learning techniques used in various industrial applications.
Python: Advanced Guide to artificial intelligence
This book helps people get familiar with the most popular machine learning (ML) algorithms and delves into the details of deep learning, covering topics like CNN, RNN, etc. It provides a comprehensive understanding of advanced ai concepts while focusing on their practical implementation using Python.
Machine Learning (in Python and R) for Beginners
This book explains the fundamentals of machine learning by providing practical examples using Python and R. It is a beginner's guide and a good starting point for people new to this field.
Machine Learning for Beginners
Given the pace at which machine learning systems are growing, this book provides a good foundation for anyone getting started in this field. The author talks about the historical background of artificial intelligence and offers beginners information on how advanced algorithms work.
artificial intelligence: A Modern Approach
This is a highly acclaimed book that covers the breadth of ai topics, including problem solving, knowledge representation, machine learning, and natural language processing. It provides theoretical explanations alongside practical examples, making it a great starting point for anyone looking to dive into the world of ai.
Compatible with humans: artificial intelligence and the problem of control
The book discusses the inevitable conflict between humans and machines, and provides important context before we advocate for ai. The author also talks about the possibility of superhuman ai and questions the concepts of human understanding and machine learning.
The problem of alignment: machine learning and human values
This book talks about a concept called “The Alignment Problem,” where the systems we aim to teach do not work as expected and various ethical and existential risks arise.
Life 3.0: Being human in the era of artificial intelligence
The author of this book talks about issues such as what the future of ai will be like and the possibility that superhuman intelligence will become our teacher. He also talks about how we can ensure these systems work without malfunctioning.
<h3 class="wp-block-heading" id="h-the-coming-wave-technology-power-and-the-twenty-first-century-s-greatest-dilemma”>The next wave: technology, energy and the biggest dilemma of the 21st century
This book warns of the risks that emerging technologies pose to the global order. It covers topics such as robotics and large language models and examines the forces driving these innovations.
artificial intelligence Engines: An Introductory Tutorial to the Mathematics of Deep Learning
“artificial intelligence Engines” delves into the mathematical foundations of deep learning. It provides a holistic understanding of deep learning, covering both the historical development of neural networks and modern techniques and architecture, focusing on the underlying mathematical concepts.
Neural networks and deep learning
This book covers the fundamental concepts of neural networks and deep learning. It also covers the mathematical aspects of them, covering topics such as linear algebra, probability theory and numerical calculus.
artificial intelligence for humans
This book explains how ai algorithms are used through real numerical calculations. The book is aimed at those without extensive mathematical training and each unit is followed by examples in different programming languages.
<h3 class="wp-block-heading" id="h-ai-superpowers-china-silicon-valley-and-the-new-world-order”>ai Superpowers: China, Silicon Valley and the New World Order
The author of this book explains the unexpected consequences of ai development. The book sheds light on the competition between the US and China for ai innovations through real facts.
Hello world: being human in the age of algorithms
The author discusses the powers and limitations of algorithms that are widely used today. The book prepares its readers for the moral uncertainties of a world governed by codes.
The Master Algorithm: How the Search for the Ultimate Learning Machine Will Transform Our World
This book talks about the concept of a “master algorithm”, which is a single, global learning algorithm capable of incorporating different approaches.
Applied artificial intelligence: a manual for business leaders
“Applied artificial intelligence” offers guidance for businesses on how to leverage ai to drive innovation and growth. It covers various applications of ai and also explores its ethical considerations. Additionally, it sheds light on ai team building and talent acquisition.
Superintelligence: paths, dangers, strategies
This book raises questions like whether ai agents will save us or destroy us and what will happen when machines surpass humans in general intelligence. The author talks about the importance of global collaboration to develop safe ai.
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Shobha is a data analyst with a proven track record in developing innovative machine learning solutions that drive business value.
