You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
"The story of a world beyond a veil in which all of the characters writers have ever created are alive and living in their own society. As writers in the other human world constantly write new characters into existence, those characters emerge into this mirror world. A hierarchy evolves as every retelling of existing characters is layered onto the original, adding to and changing their personality, knowledge base, and sometimes their emotional stability."--Provided by publisher.
Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you’re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library. Authors Delip Rao and Brian McMahon provide you with a solid grounding in NLP and deep learning algorithms and demonstrate how to use PyTorch to build applications involving rich representations of text specific to the problems you face. Each chapter includes several code examples and illustrations. Explore computational graphs and the supervised learning paradigm Master the basics of the PyTorch optimized tensor manipulation library Get an overview of traditional NLP concepts and methods Learn the basic ideas involved in building neural networks Use embeddings to represent words, sentences, documents, and other features Explore sequence prediction and generate sequence-to-sequence models Learn design patterns for building production NLP systems
Chris Bellows is just trying to get through high school and survive being the only stepchild in the social-climbing Fontaine family, whose recently diminished fortune hasn’t dimmed their desire to mingle with Upper East Side society. Chris sometimes feels more like a maid than part of the family. But when Chris’s stepsister Kimberly begins dating golden boy J. J. Kennerly, heir to a political dynasty, everything changes. Because Chris and J. J. fall in love . . . with each other. With the help of a new friend, Coco Chanel Jones, Chris learns to be comfortable in his own skin, let himself fall in love and be loved, and discovers that maybe he was wrong about his step-family all along. All it takes is one fairy godmother dressed as Diana Ross to change the course of his life. My Fairy Godmother is a Drag Queen is a Cinderella retelling for the modern reader. The novel expertly balances issues like sexuality, family and financial troubles, and self-discovery with more lighthearted moments like how one rogue shoe can launch a secret, whirlwind romance and a chance meeting with a drag queen can spark magic and light in a once dark reality.
Only one obstacle stands in his way of enjoying a normal life. He remembers-every life he's lived before. Tres is about to be born... He is beginning again-as an ageless adult trapped in an infant body. He faces life filled with extraordinary challenges, and he alone must solve the greatest mystery of all: who is he?
When all has been lost, we find ourselves… Out of the ashes of destruction, a new world has arisen. The plagues of the past—the worship of greed and pursuit of power—are gone. Now, the communities that remain in this post-apocalyptic world focus on creating connections, on forging futures filled with family and love. And all with the help of hard work, hope… and a little bit of magic. Artist Matthew Sugiyama knows this well. Traveling the countryside in search of the family he lost as a child, he trades his art for supplies—and uses his honed magic to re-draw the boundaries of reality, to fashion a world that is better for those he meets. Following glimpses of visions half-seen, Ma...
Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. Youâ??ll explore the basic operations and common functions of Sparkâ??s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing...
$1 from every sale goes to support the National Center for Missing and Exploited Children. When Benjamin Grant’s son disappeared a year ago, he felt it was his duty as a father to do everything in his power to find his son, and he tried. He threw himself into the search, but his obsession left him without a home, wife, or job. Now, he’s managed to find work at the United States Postal Service’s Mail Recovery Center, which he hopes will prove an invaluable tool in his search. With the help of Sylvia—a kleptomaniac artist—Ben learns the ins and outs of a warehouse full of lost mail and explores every lead in his son’s case. But when that investigation leads him to Leonard Moscovich, Ben fears the worst.
Powerful ideas to transform hiring into a massive competitive advantage for your business Talent Makers: How the Best Organizations Win through Structured and Inclusive Hiring is essential reading for every leader who knows that hiring is crucial to their organization and wants to compete for top talent, diversify their organization, and build winning teams. Daniel Chait and Jon Stross, co-founders of Greenhouse Software, Inc, provide readers with a comprehensive and proven framework to improve hiring quickly, substantially, and measurably. Talent Makers will provide a step-by-step plan and actionable advice to help leaders assess their talent practice (or lack thereof) and transform hiring ...
With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field. Companies such as Google, Microsoft, and Facebook are actively growing in-house deep-learning teams. For the rest of us, however, deep learning is still a pretty complex and difficult subject to grasp. If you’re familiar with Python, and have a background in calculus, along with a basic understanding of machine learning, this book will get you started. Examine the foundations of machine learning and neural networks Learn how to train feed-forward neural networks Use TensorFlow to implement your first neural network Manage problems that arise as you begin to make networks deeper Build neural networks that analyze complex images Perform effective dimensionality reduction using autoencoders Dive deep into sequence analysis to examine language Learn the fundamentals of reinforcement learning
As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are now taking an interest in high-level software design patterns such as hexagonal/clean architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Python isn’t always straightforward. With this hands-on guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexity—and get the most value out of their test suites. Each pattern is illustrated with concrete examples in beautiful, idiomatic Python, avoiding some of the verbosity of Java and C# syntax. Patterns include: Dependency inversion and its links to ports and adapters (hexagonal/clean architecture) Domain-driven design’s distinction between entities, value objects, and aggregates Repository and Unit of Work patterns for persistent storage Events, commands, and the message bus Command-query responsibility segregation (CQRS) Event-driven architecture and reactive microservices