Sean Gerrish

Artificial Intelligence (AI) has become an integral part of many industries, thanks to the advancements in machine learning and deep learning technologies. While AI may seem complicated and overwhelming to many, there is a non-technical book that offers a quick and enjoyable way to learn about these complex technologies – “How Smart Machines Think” by Sean Gerrish.

As an AI enthusiast, Sean Gerrish wrote “How Smart Machines Think” with the objective of making the book accessible to a broad audience without using too much technical jargon. His intention was to create a book that even decision-makers evaluating AI for their companies and individuals interested in transitioning into data science could quickly understand.

How Smart Machines Think explores the world of AI from various angles and includes stories of breakthroughs and examples of how AI is used in our daily lives, such as TV shows, video games, and self-driving cars. It takes the reader beyond the surface level and delves into more serious applications of AI, such as robotics in manufacturing and smart healthcare.

One of the most significant benefits of this book is that it is easy to read and understand. The author uses storytelling and simple language to explain complex concepts, making it a fun and engaging read. The book also contains a wealth of references and links to resources that readers can use to further their understanding of the topics.

How Smart Machines Think” provides a comprehensive overview of AI and offers insights that can be valuable to both novice and experienced readers. It not only covers the basics but also dives into more complex topics such as neural networks, deep learning, and computer vision. With the rapid pace of technology and the ever-growing use of AI, the book is a must-read for anyone looking to stay relevant in their industry.

In conclusion, “How Smart Machines Think” by Sean Gerrish is an excellent book for anyone looking to learn about artificial intelligence. It offers a comprehensive understanding of AI, machine learning, and deep learning technologies in a non-technical yet engaging manner. It is an eye-opener for decision-makers evaluating AI for their companies and individuals interested in transitioning into data science. I highly recommend this book as a valuable source of knowledge in the constantly evolving world of AI.