Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career. The first audiobook of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond.

Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.

GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture: the generator and discriminator networks.

Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

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.

By the end of this audiobook, you will have grasped the fundamentals of Python programming and deep learning!

Professional developers know the many benefits of writing application code that’s clean, well-organized, and easy to maintain. By learning and following established patterns and best practices, you can take your code and your career to a new level. With Practices of the Python Pro, you’ll learn to design professional-level, clean, easily maintainable software at scale using the incredibly popular programming language, Python.

Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence - and even more so if we hope to participate in the future, rather than being simple bystanders.

This book is the ultimate guide to Python programming for intermediates. It will enable you to learn Python in as little as seven days. In this second edition of the tutorial, we will cover a range of topics that will help you understand and perform complex Python programming projects.

Many people are afraid of programming and feel like it's just too hard. But with Python programming language, you will find that it can be easier than ever to learn about coding and even to read it as a professional. As you know, there are many computer programming languages. You’ll, perhaps, need more than one life to master them all.

This audiobook is the advanced edition that you have been building up to as you went through the exercises in the last two audiobooks. This third issue of the book is even more comprehensive than the previous editions but equally educative and illuminating.

Become a Python programming expert with ease! Python is a simple yet powerful programming language that can enable you to start thinking like a programmer right from the beginning. It is very easy to listen to, and the stress many beginners face about memorizing arcane syntax typically presented by other programming languages will not affect you at all. Conversely, you will be able to concentrate on learning concepts and paradigms of programming.

According to HackerRank, Java is now the third most in-demand language that hiring managers look for. And with US Java developers now earning upwards of $105,000 on average, based on data from Indeed…you can rest assured that learning Java will pay off in more ways than one.

According to HackerRank, Java is now the third most in-demand language that hiring managers look for. And with US Java developers now earning upwards of $105,000 on average, based on data from Indeed…you can rest assured that learning Java will pay off in more ways than one.

In her latest groundbreaking book, The Let Them Theory, Mel Robbins—New York Times bestselling author and one of the world's most respected experts on motivation, confidence, and mindset—teaches you how to stop wasting energy on what you can't control and start focusing on what truly matters: YOU. Your happiness. Your goals. Your life.

Brooke Shields has spent a lifetime in the public eye. Growing up as a child actor and model, her every feature was scrutinized, her every decision judged. Today Brooke faces a different kind of scrutiny: that of being a “woman of a certain age.” And yet, for Brooke, the passage of time has brought freedom. At fifty-nine, she feels more comfortable in her skin, more empowered and confident than she did decades ago in those famous Calvin Kleins. Now, in Brooke Shields Is Not Allowed to Get Old, she’s changing the narrative about women and aging.

No matter your goals, Atomic Habits offers a proven framework for improving - every day. James Clear, one of the world's leading experts on habit formation, reveals practical strategies that will teach you exactly how to form good habits, break bad ones, and master the tiny behaviors that lead to remarkable results. If you're having trouble changing your habits, the problem isn't you. The problem is your system. Bad habits repeat themselves again and again not because you don't want to change, but because you have the wrong system for change.

It’s a beautiful day in Newport, Rhode Island, when Phoebe Stone arrives at the grand Cornwall Inn wearing a green dress and gold heels, not a bag in sight, alone. She's immediately mistaken by everyone in the lobby for one of the wedding people, but she’s actually the only guest at the Cornwall who isn’t here for the big event. Phoebe is here because she’s dreamed of coming for years—she hoped to shuck oysters and take sunset sails with her husband, only now she’s here without him, at rock bottom, and determined to have one last decadent splurge on herself.

Want more joy and confidence when you perform? Discover the life guide that has developed world champions, empowered athletes to become world #1, and most importantly, transformed their hearts and minds. This step-by-step audiobook from one of the world's top mental skills coaches will teach you how to train your mind like the very best.

When the enslaved Jim overhears that he is about to be sold to a man in New Orleans, separated from his wife and daughter forever, he decides to hide on nearby Jackson Island until he can formulate a plan. Meanwhile, Huck Finn has faked his own death to escape his violent father, recently returned to town. As all readers of American literature know, thus begins the dangerous and transcendent journey by raft down the Mississippi River toward the elusive and too-often-unreliable promise of the Free States and beyond.

Women can be heroes. When twenty-year-old nursing student Frances “Frankie” McGrath hears these words, it is a revelation. Raised in the sun-drenched, idyllic world of Southern California and sheltered by her conservative parents, she has always prided herself on doing the right thing. But in 1965, the world is changing, and she suddenly dares to imagine a different future for herself. When her brother ships out to serve in Vietnam, she joins the Army Nurse Corps and follows his path.

Author Grady Green is having the worst best day of his life. Grady calls his wife to share some exciting news as she is driving home. He hears Abby slam on the brakes, get out of the car, then nothing. When he eventually finds her car by the cliff edge the headlights are on, the driver door is open, her phone is still there. . . but his wife has disappeared. A year later, Grady is still overcome with grief and desperate to know what happened to Abby. He can’t sleep, and he can’t write, so he travels to a tiny Scottish island to try to get his life back on track. Then he sees the impossible.

Early morning, August 1975: a camp counselor discovers an empty bunk. Its occupant, Barbara Van Laar, has gone missing. Barbara isn’t just any thirteen-year-old: she’s the daughter of the family that owns the summer camp and employs most of the region’s residents. And this isn’t the first time a Van Laar child has disappeared. Barbara’s older brother similarly vanished fourteen years ago, never to be found.

Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.

There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.

We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.

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.

There are no easy decisions in software architecture. Instead, there are many hard parts—difficult problems or issues with no best practices—that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture.

Algorithms and Data Structures for Massive Datasets reveals a toolbox of new methods that are perfect for handling modern big data applications. You’ll explore the novel data structures and algorithms that underpin Google, Facebook, and other enterprise applications that work with truly massive amounts of data.

Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems.

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.

As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way.

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.