Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.  

Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development. Now, 20 years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse.

This audiobook is a perfect beginner's guide to natural language processing. It is offering an easy-to-understand guide to implementing NLP techniques using Python. Natural language processing has been around for more than 50 years, but just recently, with greater amounts of data present and better computational powers, it has gained a greater popularity. Given the importance of data, there is no wonder why natural language processing is on the rise. If you are interested in learning more, this audiobook will serve as your best companion on this journey.

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.

From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.

This best seller has been updated and revised to cover all the latest changes to C++ 14 and 17! C++ Concurrency in Action, Second Edition teaches you everything you need to write robust and elegant multithreaded applications in C++17. C++ Concurrency in Action, Second Edition is the definitive guide to writing elegant multithreaded applications in C++, it carefully addresses every aspect of concurrent development, from starting new threads to designing fully functional multithreaded algorithms and data structures.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.  

Microservices Patterns teaches you how to develop and deploy production-quality microservices-based applications. This invaluable set of design patterns builds on decades of distributed system experience, adding new patterns for writing services and composing them into systems that scale and perform reliably under real-world conditions. More than just a patterns catalog, this practical guide offers experience-driven advice to help you design, implement, test, and deploy your microservices-based application.

In today's world, there is a permanent advantage to becoming known in your field. Those who are known get the customers, the better jobs, and the invitations to exclusive opportunities. But can anybody become known? In this path-finding book, author Mark Schaefer provides a step-by-step plan followed by the most successful people in diverse careers like banking, education, real estate, construction, fashion, and more.

The fruit of the long history of John Brockman's profound engagement with the most important scientific minds who have been thinking about AI - from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram - Possible Minds is an ideal introduction to the landscape of crucial issues AI presents. The collision between opposing perspectives is salutary and exhilarating; some of these figures are deeply concerned with the threat of AI, including the existential one, while others have a very different view.   

What is our species' greatest invention? Medicine, computers, space travel? Not even close. The innovation that underlies each of our past achievements and those we still aspire to is language. Language is the ultimate invention of Homo sapiens - one that has allowed us to change the physical and social world around us in every conceivable way, and an invention that has fundamentally changed us, as well.

Mental models are like giving a treasure map to someone lost in the woods. They provide instant understanding, context, and most importantly, a path to the end destination. Now imagine having such a map for all problems and decisions in your life. Battle information overwhelm, focus on what really matters, and make complex decisions with speed and confidence.

In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.

This revision of Manning's popular The Quick Python Book offers a clear, crisp introduction to the elegant Python programming language and its famously easy-to-read syntax. Written for programmers new to Python, this edition covers features common to other languages concisely, while introducing Python's comprehensive standard functions library and unique features in detail.  After exploring Python's syntax, control flow, and basic data structures, the book shows how to create, test, and deploy full applications and larger code libraries. 

Scrum is the most successful framework for agile product development, and much has been written about how to follow the Scrum process, but the key to success is in the leadership skills of the product owner. Product Mastery explores the traits of the best product owners, offering an insight into the difference between good and great product ownership and explaining how the best product owners are driven to be successful.