AI and Machine Learning for Coders
A Programmer's Guide to Artificial Intelligence
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プレミアムプラン3か月
月額99円キャンペーン開催中
¥2,600 で購入
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ナレーター:
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Timothy Howard Jackson
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著者:
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Laurence Moroney
概要
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.
You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code.
You'll learn: how to build models with TensorFlow using skills that employers desire; the basics of machine learning by working with code samples; how to implement computer vision, including feature detection in images; how to use NLP to tokenize and sequence words and sentences; methods for embedding models in Android and iOS; and how to serve models over the web and in the cloud with TensorFlow Serving.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2021 Laurence Moroney (P)2023 Ascent Audioこちらもおすすめ
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Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
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Introducing Python (2nd Edition)
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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.
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Tidy First?
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Fertility Technology
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Fundamentals of Data Engineering
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Deep Learning
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Tidy First?
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Fertility Technology
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AI Engineering
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Data Science for Dummies
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Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus.
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The Rise of Modern Japan
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Noted Japan expert Professor Mark J. Ravina of the University of Texas at Austin covers the politics, economics, and culture of the island nation since World War II - a conflict that saw the end of Japan’s dream of regional conquest, which Professor Ravina calls Empire 1.0. The country’s postwar leaders radically changed course, renouncing a strong military to pursue Empire 2.0 - Japan as an economic colossus.
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A good material
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Sources of Power
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Winning the Loser's Game
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Candid, short, and accessible, Winning the Loser's Game walks you through the process of developing and implementing a powerful investing strategy that generates solid profits year after year. In this eagerly awaited new edition, Charles D. Ellis applies the expertise developed over his long, illustrious career. This updated edition includes: new chapters on bond investing, how investor behavior affects returns, and how technology and big data are challenging traditional investment decision; and more.
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Software Architecture: The Hard Parts
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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.
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Artificial Intelligence Basics
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Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success. Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact.
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The First World War
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By the time the First World War ended in 1918, eight million people had died in what had been perhaps the most apocalyptic episode the world had known. This Very Short Introduction audiobook provides a concise and insightful history of the Great War - from the state of Europe in 1914, to the role of the US, the collapse of Russia, and the eventual surrender of the Central Powers.
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Software Engineering at Google
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Japanese Literature
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While intensely attentive to its own tradition, Japanese literature has also embraced the outside world, particularly the influence of China. Beyond this, Japan boasts a powerful literary culture, made up of cultivated reading publics, both aristocratic and bourgeois, literary salons, specialized presses, authoritative judges of talent who cultivated and celebrated particular writers and styles, and a canon consisting of classics. This Very Short Introduction traces the rich history of Japanese literature from its beginnings over a millennium ago to the present day.
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Designing Data-Intensive Applications
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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.
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Learning SQL (3rd Edition)
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- ナレーター: Mike Chamberlain
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As data floods into your company, you need to put it to work right away—and SQL is the best tool for the job. With the latest edition of this introductory guide, author Alan Beaulieu helps developers get up to speed with SQL fundamentals for writing database applications, performing administrative tasks, and generating reports. You'll find new chapters on SQL and big data, analytic functions, and working with very large databases.
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深層学習の原理に迫る: 数学の挑戦
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- ナレーター: 佐々 健太
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第三次人工知能(AI)ブームの中核的役割を果たす深層学習(ディープ・ラーニング)は、その高い信頼性と汎用性ゆえに様々な領域に応用されていく一方で、
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わかりやすい
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Cybersecurity
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- ナレーター: Jonathan Todd Ross
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No data is completely safe. Cyberattacks on companies and individuals are on the rise and growing not only in number but also in ferocity. And while you may think your company has taken all the precautionary steps to prevent an attack, no individual, company, or country is safe. Cybersecurity can no longer be left exclusively to IT specialists. Improving and increasing data security practices and identifying suspicious activity is everyone's responsibility, from the boardroom to the break room.
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Fooled by Randomness
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- ナレーター: Sean Pratt
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This audiobook is about luck, or more precisely, how we perceive and deal with luck in life and business. It is already a landmark work, and its title has entered our vocabulary. In its second edition, Fooled by Randomness is now a cornerstone for anyone interested in random outcomes.
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The Book of Why
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- ナレーター: Mel Foster
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"Correlation does not imply causation". This mantra has been invoked by scientists for decades and has led to a virtual prohibition on causal talk. But today, that taboo is dead. The causal revolution, sparked by Judea Pearl and his colleagues, has cut through a century of confusion and placed causality - the study of cause and effect - on a firm scientific basis.
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Why We Love Dogs, Eat Pigs, and Wear Cows
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Why We Love Dogs, Eat Pigs, and Wear Cows offers an absorbing look at what social psychologist Melanie Joy calls carnism, the belief system that conditions us to eat certain animals when we would never dream of eating others. Carnism causes extensive animal suffering and global injustice, and it drives us to act against our own interests and the interests of others without fully realizing what we are doing.
著者: Melanie Joy PhD, 、その他
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How to Think About AI
- A Guide for the Perplexed
- 著者: Richard Susskind
- ナレーター: Richard Susskind
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In How To Think About AI, Richard Susskind draws on his experience of working on AI since the early 1980s. For Susskind, balancing the benefits and threats of artificial intelligence is the defining challenge of our age. He explores the history of AI and possible scenarios for its future. His views on AI are not always conventional. He positions ChatGPT and generative AI as no more than the latest chapter in the ongoing story of AI and claims we are still at the foothills of developments.
著者: Richard Susskind
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The Deep Learning Revolution
- 著者: Terrence J. Sejnowski
- ナレーター: Shawn Compton
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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.
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Artificial Intelligence for Dummies
- 著者: John Mueller, Luca Massaron
- ナレーター: Chris Sorensen
- 再生時間: 13 時間 32 分
- 完全版
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In this audiobook, you'll get a clear overview of artificial intelligence technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field.
著者: John Mueller, 、その他
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Prompt Engineering for Generative AI
- Future-Proof Inputs for Reliable AI Outputs
- 著者: James Phoenix, Mike Taylor
- ナレーター: Mike Chamberlain
- 再生時間: 11 時間 6 分
- 完全版
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総合評価0
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Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.
著者: James Phoenix, 、その他
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Data Science
- 著者: John D. Kelleher, Brendan Tierney
- ナレーター: Chris Sorensen
- 再生時間: 5 時間 51 分
- 完全版
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総合評価2
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ナレーション2
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ストーリー2
It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.
著者: John D. Kelleher, 、その他
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Zero Trust Networks (2nd Edition)
- Building Secure Systems in Untrusted Networks
- 著者: Razi Rais, Christina Morillo, Evan Gilman, 、その他
- ナレーター: Mike Chamberlain
- 再生時間: 12 時間 5 分
- 完全版
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総合評価0
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In this updated edition, the authors show you how zero trust lets you focus on building strong authentication, authorization, and encryption throughout, while providing compartmentalized access and better operational agility. You'll learn the architecture of a zero trust network, including how to build one using currently available technology.
著者: Razi Rais, 、その他
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Why Is Sex Fun?
- The Evolution of Human Sexuality
- 著者: Jared Diamond
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総合評価1
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There is no one better qualified than Jared Diamond - renowned expert in the fields of physiology and evolutionary biology and award-winning author - to explain the evolutionary forces that operated on our ancestors to make us sexually different. With wit and a wealth of fascinating examples, he explains how our sexuality has been as crucial as our large brains and upright posture in our rise to human status.
著者: Jared Diamond
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Learn Better
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- ナレーター: Tom Parks
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ストーリー4
For centuries, experts have argued that learning was about memorizing information: You're supposed to study facts, dates, and details, burn them into your memory, and then apply that knowledge at opportune times. But this approach to learning isn't nearly enough for the world that we live in today, and in Learn Better journalist and education researcher Ulrich Boser demonstrates that how we learn can matter just as much as what we learn.
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Helpful reminders
- 投稿者: Mina 日付: 2023/09/01
著者: Ulrich Boser