The “You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It’s Making the World a Weirder Place” is a wonderful book about Artificial Intelligence. Janelle Shane is the author of this great book. Janelle has been featured in the New York Times, WIRED, Popular Science, The Atlantic, and Slate. She has only made a neural network-written recipe once and discovered that horseradish brownies are about as terrible as you might imagine. You Look Like a Thing and I Love You is a great book for anyone who wants to learn about artificial intelligence.

The “Hands-On Convolutional Neural Networks with TensorFlow: Solve computer vision problems with modeling in TensorFlow and Python” is a great book for those who want to use Convolutional Neural Networks for solving real-world problems. Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, and Leonardo Araujo are the authors of this great book. Convolutional Neural Networks are the most popular architectures used in computer vision apps. This book will guide the readers on how to train machine learning models with TensorFlow.

The “Algorithms of the Intelligent Web” guides you through algorithms to capture, store and structure data streams that come from the web. The authors of this most informative book are Douglas Mcllwraith, Haralambos Marmanis and Dmitry Babenko. Douglas Mcllwraith is a machine learning expert and data science practitioner in the field of online advertising. He currently working as a senior data scientist for a London-based advertising company. Dr.Haralambos Marmanis is the explorer of machine learning techniques for industrial solutions. Dmitry Babenko has designed a variety of applications and infrastructure frameworks for banking. Dmitry received an M.S degree in computer science from Belarussian University. This book teaches you through algorithm, store, capture and structure data streams coming from the web. This book includes the full introduction of machine learning, Extraction structure from data. Furthermore, how recommendation engines work and Deep learning, neural networks. All in all, Algorithms of the Intelligent Web teaches you how to create a machine learning application in the easiest way.

The “Hands-On Neural Networks with TensorFlow 2.0: Understand TensorFlow, from the static graph to eager execution, and design neural networks” is an excellent book that covers machine learning with a focus on developing neural network-based solutions. Paolo Galeone is the author of this informative book. Paolo Galeone is a computer engineer with strong practical experience. In 2019, Google recognized his expertise by awarding him the title of Google Developer Expert (GDE) in Machine Learning. As a GDE, he shares his passion for machine learning and the TensorFlow framework by blogging, speaking at conferences. In this book, you will learn how to create classifiers, build object detection and semantic segmentation networks. After reading this, you will learn how to apply the new features of TF 2.0 to speed up development. How to use the SavedModel file format to put a model, or a generic computational graph, into production. If you are a developer who wants to get started with machine learning and TensorFlow, then Hands-On Neural Networks with TensorFlow 2.0 is for you.

“The Book of Why: The New Science of Cause and Effect” is an accessible book on the new approach to causality in science. Judea Pearl and Dana Mackenzie are the authors of this science book. Judea Pearl is a professor of computer science at UCLA. He has written numerous science books and also won numerous awards. The Book of Why is about how a new science of cause and effect can be joined to statistics, so a robot with real human-like intelligence can be created. This book tells the story of how classical statistics was separated from cause and effect by its development as a mathematical transformation of observed data. Furthermore, the section in the book treats the subject of climate change shows some of the challenges facing those seeking to truly understand what we know and what we don’t know about this issue. To be honest, it is a must-read, not only for causal inference theorists but more widely for those with an interest in contemporary developments in computer science or Artificial Intelligence. Each topic is covered clearly and concisely and packed with the details that you learn to be truly effective. To sum it up, The Book of Why is an educational book for the readers.

Code Complete is the software design, applications, network systems and client-server guide which shares the different strategies to make diagrams and write effective code. Steve McConnell is the author of this fabulous book. This is the updated second edition of the book in which the author shares new practices and practical techniques of programming. Programming seems difficult but it is not if you follow the rules. This guide is helping developers from few years and everyone is happy. Steve shares hundreds of new practices and code samples. The important thing that it covers the entire software construction. Learn how to make the class diagram, use case, flow chart, and basic flow.