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.

It’s the flight before Christmas and Molly just got an unexpected gift: a free first-class upgrade on her plane trip home for the holidays. Bring on the complimentary cocktails! But after one too many, she spills all her secrets to the hot guy seated next to her—only to wake up mortified when her buzz has worn off. At least she never has to see Liam again ... or so she thinks. When Molly arrives at Christmas House, the festive rental home that she and her family are sharing with her sister’s fiancé and his wealthy family, she discovers that Liam is one of the new in-laws. Oops.

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.

Sydney Shaw, like every single woman in New York, has terrible luck with dating. She’s seen it all: men who lie in their dating profile, men who stick her with the dinner bill, and worst of all, men who can't shut up about their mothers. But finally, she hits the jackpot. Her new boyfriend is utterly perfect. He's charming, handsome, and works as a doctor at a local hospital. Sydney is swept off her feet. Then the brutal murder of a young woman—the latest in a string of deaths across the coast—confounds police. The primary suspect? A mystery man who dates his victims before he kills them.

When Sasha receives a call from her old university friend Gabby inviting her to spend Christmas at Gabby’s remote Scottish lake house, Sasha knows she shouldn’t go. Twelve years ago, on Christmas Eve, when Sasha and her five closest friends were celebrating the festive season, something truly horrific happened that would change the course of their friendship forever. Something that meant Sasha hasn’t spoken to any of them since that night.

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.

When mystery author D. B. Ziegler is late delivering her book, Abi Schore steps in to help. Surely she can give her favorite author moral support over the holiday break and get the manuscript to her boss at Tea & Sympathy Publishing in time for the new year. When Abi shows up on Ms. Ziegler’s doorstep bearing holiday treats, she’s met by the author’s handsome grandson Dov, who reveals a startling plot twist. His grandmother isn’t able to finish the book and Dov promised he’d complete it so fans won’t be disappointed—a task that’s harder than he ever imagined.

Living in a year around Christmas town has its drawbacks. The caroling, the decorations, the insanely cheery spirit, it never disappears. It's why I like to hibernate away in my cave - I mean housekeeping a healthy distance from the holly jolly spirits. And all was going according to plan until my nemesis, Storee Taylor, moved in next door to care for her Aunt Cindy. Without blinking, she turned my simple world into a real nightmare-before-Christmas, especially when she decided to enter the town Christmas Kringle contest - which she was determined to win.

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.

Two little girls stand with their heads bowed in my living room. I’m told they’re my granddaughters. Daisy is nine, and Alice seven. Daisy is the spitting image of her mother. This is the first time I’ve met them since my daughter and I fell out after she married that waste of space, Vince. They’ve come to live with me because their mother — my daughter — was murdered. In her own home while they slept close by. I think Vince killed her. But the police can’t prove it. I’ve always known he was no good. He treated my daughter like dirt. I said he’d cheat on her — but she wouldn’t listen.

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.

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.

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.

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.

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.

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.

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.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.

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.

You can be incredibly productive with Azure without mastering every feature, function, and service. Learn Azure in a Month of Lunches, Second Edition gets you up and running quickly, teaching you the most important concepts and tasks in 21 practical bite-sized lessons. As you explore the examples, exercises, and labs, you'll pick up valuable skills immediately and take your first steps to Azure mastery! This fully revised new edition covers core changes to the Azure UI, new Azure features, Azure containers, and the upgraded Azure Kubernetes Service.

Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science. In Data Science Bookcamp, you’ll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career.

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.

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.