Artificial Intelligence is a topic that has fascinated humans for centuries. It is the field of study that seeks to create a computer system that can do things that would be considered intelligent by human beings, such as learning from experience, using reason, and understanding natural language. Despite this long history, it’s still difficult to find an AI book that gives a comprehensive overview of the subject.
While reading books can be a time-consuming process, it can also be an excellent way to learn more about a certain subject. Books can be a great middle ground between frivolous social media posts and dense research papers, and they can help you stay up-to-date on the latest developments in your industry. Using an eBook summary generator like Taskade can make this process even easier, and it will ensure that you get accurate book summaries for all the books you’re interested in.
We have compiled a list of the best free AI books that will help you understand the fundamental concepts of the field, build your own applications, and advance in your career. These books cover a wide range of topics, from the basics of machine learning to advanced subjects like deep neural networks.
This book is a perfect choice for any aspiring machine learning student or professional. It takes you through all the essentials of machine learning, from regression and decision trees to neural networks and ensemble learning. It also covers various supervised and unsupervised learning methods, as well as model evaluation and deployment strategies. The book is well-organized, and the author has incorporated real-life examples to reinforce learning. However, it can be a bit math-heavy for someone who doesn’t have a lot of experience with math. It also uses a very specific library, Sklearn, so if you’re not familiar with that framework it can be a bit challenging to follow.
This eBook is a must-read for any data scientist or machine learning engineer looking to become more proficient in the area of object detection. It is a step-by-step guide that walks you through the entire process of creating an object detection engine, from setting project scopes to collecting and training models to deploying and monitoring them. It is written by industry leaders, including AI heavyweights Ian Goodfellow, Yoshua Bengio, and Aaron Courville. This popular textbook was previously a KDnuggets feature, and it is a valuable resource for anyone who wants to master the art of object detection.