Java Virtual Machine

Popcorn is, quite simply, the FRIENDLIEST chicken at Fiddlestick’s Farm! When she finds a Fabulous Friend Machine in the barn, she sets about making some brand new friends. But behind the screen of th

Wolf is a lean, mean, scaring machine! And he is definitely the ONLY baddie in this book. Or is he?A funny fairy tale twist, about discovering that you're never too bad to be good.

Blossom Valley is opening a new community center! But they need to generate buzz for the grand opening. Layla and the Bots know how to help: they will build a cupcake machine for the party! But will t

NEW YORK TIMES BESTSELLER - This official Minecraft novel is an action-packed thriller When a new virtual-reality version of the game brings her dreams--and doubts--to life, one player must face her fears. Bianca has never been good at following the plan. She's more of an act-now, deal-with-the-consequences-later kind of person. But consequences can't be put off forever, as Bianca learns when she and her best friend, Lonnie, are in a terrible car crash. Waking up in the hospital, almost paralyzed by her injuries, Bianca is faced with questions she's not equipped to answer. She chooses instead to try a new virtual-reality version of Minecraft that responds to her every wish, giving her control over a world at the very moment she thought she'd lost it. As she explores this new realm, she encounters a mute, glitching avatar she believes to be Lonnie. Bianca teams up with Esme and Anton, two kids who are also playing on the hospital server, to save her friend. But the road to recovery isn'

In Hegel and the Wired Brain, Slavoj Zizek gives us a reading of philosophical giant G.W.F. Hegel that changes our way of thinking about the new posthuman era. No ordinary study of Hegel, this work investigates what he might have had to say about the idea of the 'wired brain' - what happens when a direct link between our mental processes and a digital machine emerges.Zizek explores the phenomenon of a wired brain effect, and what might happen when we can share our thoughts directly with others. He hones in on the key question of how it shapes our experience and status as 'free' individuals and asks what it means to be human when a machine can read our minds. With characteristic verve and enjoyment of the unexpected, Zizek connects Hegel to the world we live in now, shows why he is much more fun than anyone gives him credit for, and why the 21st century might just be Hegelian.

MATCHES THE LATEST EXAM Let us supplement your AP classroom experience with this easy-to-follow study guide The immensely popular 5 Steps to a 5: AP Computer Science A guide has been updated for the 2021-22 school year and now contains: 3 full-length practice exams that reflect the latest examComprehensive overview of the AP Computer Science A exam formatHundreds of practice exercises with thorough answer explanationsTwo full sections devoted to algorithm writing and two levels of sample questions for each Java concept (basic and advanced)Proven strategies specific to each section of the test

DescriptionThe sixth edition of Design of Machinery is an evolutionary improvement over the fifth and earlier editions. The balanced coverage of analysis and design and outstanding use of realistic engineering examples makes this the most comprehensive, yet practical , instruction in the design of machinery.NEW TO THE SIXTH EDITION188 videos are referenced throughout the text to aid in student comprehension.Over 50 new problem assignments have been added.The author-written programs have been updated to improve their interface and usability.Working Model files, MATLAB models, two virtual laboratories, lecture videos, and demonstration videos are now available online!

Talin從小就被教導要忠誠就是唯一信仰，但在不得已的情況下，他被迫背叛自己的同伴而加入暴政的陣營，他是否能扭轉現況而重現過去的自由呢？Explosive action and swoon-worthy suspense collide in this riveting conclusion to the Skyhunter duet from #1 New York Times–bestselling author Marie LuAs a Striker, Talin was taught loyalty is life. Loyalty to the Shield who watches your back, to the Strikers who risk their lives on the battlefield, and most of all, to Mara, which was once the last nation free from the Karensa Federation’s tyranny.But Mara has fallen. And its destruction has unleashed Talin’s worst nightmare.With her friends scattered by combat and her mother held captive by the Premier, Talin is forced to betray her fellow Strikers and her adopted homeland. She has no choice but to become the Federation’s most deadly war machine as their newest Skyhunter.Red is no stranger to the cruelty of the Federation or the torture within its Skyhunter labs, but he knows this isn’t the end for Mara – or Talin. The link between them may be weak, but it could be Ta

Part of the bestselling Little People, BIG DREAMS series, Alan Turing tells the inspiring story of the father of theoretical computer science and artificial intelligence.In this book from the critically acclaimed, multimillion-copy bestselling Little People, BIG DREAMS series, discover the life of Alan Turing, the genius code cracker and father of theoretical computer science and artificial intelligence.Alan grew up in England, where his best friends were numbers and a little boy called Christopher. When his young friend died, Alan retreated to the world of numbers and codes, where he discovered how to crack the code of the Nazi Enigma machine. This moving book features stylish and quirky illustrations and extra facts at the back, including a biographical timeline with historical photos and a detailed profile of the brilliant mathematician's life.Little People, BIG DREAMS is a bestselling biography series for kids that explores the lives of outstanding people, from designers and artist

The strongest Avenger teams up with two up-and-coming heroes on an internet-breaking adventure Can they pull the plug on evil? First, Captain Marvel joins Gwen Stacy, aka Ghost-Spider, on a web-based adventure Things get APP-rehenzive when a new craze--ClikClok--sweeps the city, and the Mad Thinker and the Awesome Android plan to use it for their own nefarious scheme Then, just as Carol is recovering from one mission, she starts another--without even knowing it When technical difficulties bring her face to face with her digital doppelg nger, she'll need some help from the Unbeatable Squirrel Girl to save the day Collects Marvel Action: Captain Marvel Vol. Two, issues #1-5, from writer Sam Maggs (The Unstoppable Wasp, My Little Pony/Transformers) and artists Sweeney Boo (Eat, and Love Yourself) and new talent Isabel Escalante

With over 1.6 million copies sold, the Phoebe and Her Unicorn book series for middle-grade readers is an immensely popular and magical world of unicorns, adventure, and friendship.Marigold Heavenly No

Book four in the OFFICIAL Minecraft fiction series for readers age 7+Morgan, Ash, Harper, Po and Jodi return in another adventure in the world of Minecraft. Portals opening... Worlds colliding! It sounds impossible, but the Evoker King has found a way from Minecraft into the real world! As Jodi races to piece together the clues to his identity, she doesn't like where they point.Could one of her friends be the sinister mob?!For fans of the Minecraft game, Jumanji and Wreck it Ralph.

The #1 Java Guide for Serious Programmers: Fully Updated for Java SE 17 For serious programmers, Core Java, Volume I--Fundamentals, Twelfth Edition, is the definitive guide to writing robust, maintain

Corey J. White's debut novel, Repo Virtual, blurs the lines between the real and virtual in an action-packed cyberpunk heist story.The city of Neo Songdo is a Russian nesting doll of realities ― augme

An accessible explanation of the technologies that enable such popular voice-interactive applications as Alexa, Siri, and Google Assistant.Have you talked to a machine lately? Asked Alexa to play a song, asked Siri to call a friend, asked Google Assistant to make a shopping list? This volume in the MIT Press Essential Knowledge series offers a nontechnical and accessible explanation of the technologies that enable these popular devices. Roberto Pieraccini, drawing on more than thirty years of experience at companies including Bell Labs, IBM, and Google, describes the developments in such fields as artificial intelligence, machine learning, speech recognition, and natural language understanding that allow us to outsource tasks to our ubiquitous virtual assistants. Pieraccini describes the software components that enable spoken communication between humans and computers, and explains why it's so difficult to build machines that understand humans. He explains speech recognition technology

Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and res

A concise overview of machine learning--computer programs that learn from data--the basis of such applications as voice recognition and driverless cars.Today, machine learning underlies a range of app

Features software workshops for 3ds Max, Maya, CINEMA 4D, Lightwave, and Softimage XSI. This title helps you get the techniques you need to create your own virtual vixens. It demonstrates the work cyc

A global pandemic. Panic. Social distancing. Working from home.In a heartbeat, we went from happy hours to virtual happy hours. From conferences to virtual conferences. From selling to virtual selling

Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural language applications. Code examples in Python give readers a hands-on blueprint for understanding and implementing their own machine translation systems. The book also provides extensive coverage of machine learning tricks, issues involved in handling various forms of data, model enhancements, and current challenges and methods for analysis and visualization. Summaries of the current research in the field make this a state-of-the-art textbook for undergraduate and graduate classes, as well as an essential reference for researchers and developers interested in other applications of neural methods in the broader field of human language processing.

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every cha

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every cha

Machine learning-a computer's ability to learn-is transforming our world: it is used to understand images, process text, make predictions by analyzing large amounts of data, and much more. It can be used in nearly every industry to improve efficiency and help stakeholders make better decisions. Whatever your industry or hobby, chances are that these modern artificial intelligence methods will be useful to you as well.Introduction to Machine Learning weaves reproducible coding examples into explanatory text to show what machine learning is, how it can be applied, and how it works. Perfect for anyone new to the world of AI or those looking to further their understanding, the text begins with a brief introduction to the Wolfram Language, the programming language used for the examples throughout the book. From there, readers are introduced to key concepts before exploring common methods and paradigms such as classification, regression, clustering, and deep learning. The math content is kep

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely “from scratch” based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.

This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the topic, and its historical evolution, strong connections are drawn with underlying methods from statistical physics and current applications within science and engineering. Closely based around a well-established undergraduate course, this pedagogical text provides a solid understanding of the key aspects of modern machine learning with artificial neural networks, for students in physics, mathematics, and engineering. Numerous exercises expand and reinforce key concepts within the book and allow students to hone their programming skills. Frequent references to current research develop a detailed perspective on the state-of-the-art in machine learning research.

Explore the technology that is changing our world!Imagine a machine that can learn from experience and teach itself new things - that's AI in action! Trace the development of intelligent machines fr

Pondering the town he had invented in his novels, Anthony Trollope had 'so realised the place, and the people, and the facts' of Barset that 'the pavement of the city ways are familiar to my footsteps'. After his novels end, William Thackeray wonders where his characters now live, and misses their conversation. How can we understand the novel as a form of artificial reality? Timothy Gao proposes a history of virtual realities, stemming from the imaginary worlds created by novelists like Trollope, Thackeray, Charlotte Bronte, and Charles Dickens. Departing from established historical or didactic understandings of Victorian fiction, Virtual Play and the Victorian Novel recovers the period's fascination with imagined places, people, and facts. This text provides a short history of virtual experiences in literature, four studies of major novelists, and an innovative approach for scholars and students to interpret realist fictions and fictional realities from before the digital age. This ti

The recent pandemic has clarified the overwhelming connection between the workplace and technology. With thousands of employees suddenly forced to work at home, a large segment of the workforce quickly received crash courses in videoconferencing and other technologies, and society as a whole took a step back to redefine what employment actually means. The virtual workplace is the blending of brick-and-mortar physical places of business with the advanced technologies that now make it possible for workers to perform their duties outside of the office. Trying to regulate in this area requires the application of decades old employment laws to a context never even contemplated by the legislatures that wrote those rules. This book explores the emerging issues of virtual work―defining employment, litigating claims, aggregating cases, unionizing workers, and preventing harassment―and provides clarity to these areas, synthesizing the current case law, statutory rules, and academic literature to

The recent pandemic has clarified the overwhelming connection between the workplace and technology. With thousands of employees suddenly forced to work at home, a large segment of the workforce quickly received crash courses in videoconferencing and other technologies, and society as a whole took a step back to redefine what employment actually means. The virtual workplace is the blending of brick-and-mortar physical places of business with the advanced technologies that now make it possible for workers to perform their duties outside of the office. Trying to regulate in this area requires the application of decades old employment laws to a context never even contemplated by the legislatures that wrote those rules. This book explores the emerging issues of virtual work―defining employment, litigating claims, aggregating cases, unionizing workers, and preventing harassment―and provides clarity to these areas, synthesizing the current case law, statutory rules, and academic literature to

Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure.Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value.

Want to have the best dream of your life? Introducing: the Dream Machine, the latest breakthrough in dream technology.Turn the Snoreswitch to the volume of your choice, tune in to your favorite dream

The world of machine learning is changing all the time. It is so amazing the idea that we are able to take a computer and let it learn as it goes. Without having to write out all of the codes that we need for every situation out there or every input that the user may pick, we are able to write out codes in machine learning, even with Python, in order to let the computer or device learn and make decisions on its own.This guidebook is going to take a closer look at how Python machine learning is able to work, as well as how you can use some of the tools and techniques that come with this process for your own needs. When you are interested in learning more about what machine learning is all about, as well as how you can use a part of the coding from Python inside of this process, then this guidebook is the tool for you Some of the topics that we will explore when we go through this guidebook will include: Understanding some of the basics of machine learning;Some of the different parts tha

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an onli

Immerse yourself in 45 spectacularly imagined virtual cities, from Arkham City to Whiterun, in this beautifully illustrated unofficial guide.Spanning decades of digital history, this is the ultimate t

How cinema and other moving-image media have transformed, throughout their history, our perception of time.Both a book and an exhibition, Time Machine: Cinematic Temporalities takes as a starting poin

The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.Machine learning is often used to build predictiv

A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them.Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited

A virtualist is a doctor who specializes in virtual medicine. She uses tools like VR headsets, spatial acoustics, haptic feedback, and even olfactory mimicry to induce reactions in patients' bodies th

Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It explains dead fusion in realizing the privacy and security of

This book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition and domain adaptation. This useful toolkit enables readers to apply machine learning techniques to address practical issues, such as robustness under adverse acoustic environments and domain mismatch, when deploying speaker recognition systems. Presenting state-of-the-art machine learning techniques for speaker recognition and featuring a range of probabilistic models, learning algorithms, case studies, and new trends and directions for speaker recognition based on modern machine learning and deep learning, this is the perfect resource for graduates, researchers, practitioners and engineers in electrical engineering, computer science and applied mathematics.