Books

市面上的深度学习书要么晦涩难懂，要么是平台使用说明书，只讲理论缺少实现或者只有编程缺少原理讲解，都很难让人理解深度学习的基本原理，本书采用理论讲解与代码实现的方式深入浅出地剖析了深度学习的技术原理和实现细节，教会读者如何从零编写一个深度学习库。内容包含了：梯度下降法、回归学习、前馈神经网络、卷积神经网络、循环神经网络、生成网络。

How to develop an Artificial Intelligence application? This book includes Agility foundations, engineering practices, real examples, and suggestions for implementing them in your company. Foreword by Jeff Sutherland, co-author of Scrum and the Agile Manifesto.

The battle for our collective identity, is continually waged, as no human has as of yet, been crowned as a sovereign king of all creation.

Computational Sense Making is new and exciting area of Applied AI with lot of research interest. In this book, we have attempted to give our readers an introduction of the topic with an implementation approach. This will help readers understand the topic in depth and apply computational sense making in different use cases.

The book explains the core concepts and terminologies of Descriptive Statistics using real-world examples. The book contains 17 practice problems, 2 quizzes, 36 graphical representations and numerous examples to enable effective learning and understanding of the concepts. Please check the bundle options with this book for better deals!

"It is like a voyage of discovery, seeking not for new territory but new knowledge. It should appeal to those with a good sense of adventure," Dr. Frederick Sanger. I hope every reader enjoys this voyage in deep learning and find their adventure.

The sexiest job in the 21st century? Data Science!Coffee Break Pandas teaches you the new superpower of analyzing and processing data with Python's Pandas framework. If solving puzzles is fun for you, you'll love ❤ this book with 74 brand-new, hand-crafted Pandas puzzles to help you stay relevant in today's marketplace.

Machine Learning (ML) and Artificial Intelligence (AI) are shaping the future—and now is the time to get started. This book teaches you the fundamentals of Machine Learning with Python through practical, beginner-friendly examples. No prior ML experience required.

This weekend, we will cover many fundamental operations of the Pandas. Many of the sections will be similar to those in Data Science Essentials if read.

I write this book for all the people who believe that link between technology and humans can create a better world. I believe that fast advancement of the technology will help our planet to solve many problems in a more fast smart way that what human brain is capable to do.All this because of fast development of microprocessor architecture.

Learn how to implement various feature selection methods in a few lines of code and train faster, simpler, and more reliable machine learning models. Using Python open-source libraries, you will learn how to find the most predictive features from your data through filter, wrapper, embedded, and additional feature selection methods.

This is a short manual to understand the 4th Industrial Revolution Technologies & 5G in very easy & understandable language.

Recently, convolutional neural networks have surpassed humans in different tasks such as classification of natural objects and classification of traffic signs. After their great success, convolutional neural networks have become the first choice for learning features from training data.

This is a short manual to understand the 4th Industrial Revolution Technologies in very easy & understandable language.

IF your data isn't contextual, connected, complete & controllable; you don't control your data, your talent, and the impact they can make; you don't know how to use data to manage the cycle of innovation in a global market; you're not in the Sweet Spot where this comes together in harmony... This is the book you didn't even know you needed