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Deep Learning
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- ナレーター: Joel Richards
- 再生時間: 5 時間 49 分
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総合評価
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ストーリー
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.
著者: John D. Kelleher
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Designing Data-Intensive Applications
- The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- 著者: Martin Kleppmann
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- 再生時間: 20 時間 56 分
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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.
著者: Martin Kleppmann
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クラウドからAIへ アップル、グーグル、フェイスブックの次なる主戦場
- 著者: 小林 雅一
- ナレーター: 粟津 貴嗣
- 再生時間: 7 時間 2 分
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秘書のように問いかけに応えるスマホ、自動運転車、ビッグデータ──。時代を読み解くキーワードは「クラウド」から「AI=人工知能」へ。
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分かりやすいAIの現在
- 投稿者: minerva2050 日付: 2019/05/04
著者: 小林 雅一
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Data Science for Business
- What You Need to Know About Data Mining and Data-Analytic Thinking
- 著者: Foster Provost, Tom Fawcett
- ナレーター: Benjamin Lange
- 再生時間: 12 時間 46 分
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Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.
著者: Foster Provost, 、その他
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深層学習の原理に迫る: 数学の挑戦
- 著者: 今泉 允聡
- ナレーター: 佐々 健太
- 再生時間: 2 時間 52 分
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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
- 投稿者: CAEエンジニア 日付: 2023/04/24
著者: 今泉 允聡
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Artificial Intelligence Basics
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- 著者: Tom Taulli
- ナレーター: Al Kessel
- 再生時間: 8 時間 25 分
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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.
著者: Tom Taulli
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Deep Learning
- MIT Press Essential Knowledge Series
- 著者: John D. Kelleher
- ナレーター: Joel Richards
- 再生時間: 5 時間 49 分
- 完全版
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総合評価
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ナレーション
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ストーリー
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.
著者: John D. Kelleher
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Designing Data-Intensive Applications
- The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- 著者: Martin Kleppmann
- ナレーター: Benjamin Lange
- 再生時間: 20 時間 56 分
- 完全版
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総合評価
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ナレーション
-
ストーリー
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.
著者: Martin Kleppmann
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クラウドからAIへ アップル、グーグル、フェイスブックの次なる主戦場
- 著者: 小林 雅一
- ナレーター: 粟津 貴嗣
- 再生時間: 7 時間 2 分
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総合評価
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秘書のように問いかけに応えるスマホ、自動運転車、ビッグデータ──。時代を読み解くキーワードは「クラウド」から「AI=人工知能」へ。
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分かりやすいAIの現在
- 投稿者: minerva2050 日付: 2019/05/04
著者: 小林 雅一
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Data Science for Business
- What You Need to Know About Data Mining and Data-Analytic Thinking
- 著者: Foster Provost, Tom Fawcett
- ナレーター: Benjamin Lange
- 再生時間: 12 時間 46 分
- 完全版
-
総合評価
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ナレーション
-
ストーリー
Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.
著者: Foster Provost, 、その他
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深層学習の原理に迫る: 数学の挑戦
- 著者: 今泉 允聡
- ナレーター: 佐々 健太
- 再生時間: 2 時間 52 分
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ナレーション
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ストーリー
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
- 投稿者: CAEエンジニア 日付: 2023/04/24
著者: 今泉 允聡
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Artificial Intelligence Basics
- A Non-Technical Introduction
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- ナレーター: Al Kessel
- 再生時間: 8 時間 25 分
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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.
著者: Tom Taulli
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Database Internals
- A Deep Dive into How Distributed Data Systems Work, 1st Edition
- 著者: Alex Petrov
- ナレーター: Mike Chamberlain
- 再生時間: 12 時間 51 分
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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.
著者: Alex Petrov
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Data Science for Dummies
- 2nd Edition
- 著者: Lillian Pierson, Jake Porway - foreword
- ナレーター: Chloe Cannon
- 再生時間: 10 時間 28 分
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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.
著者: Lillian Pierson, 、その他
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Fundamentals of Software Architecture
- An Engineering Approach
- 著者: Mark Richards, Neal Ford
- ナレーター: Benjamin Lange
- 再生時間: 13 時間 10 分
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This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.
著者: Mark Richards, 、その他
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Algorithms to Live By
- The Computer Science of Human Decisions
- 著者: Brian Christian, Tom Griffiths
- ナレーター: Brian Christian
- 再生時間: 11 時間 50 分
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From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
著者: Brian Christian, 、その他
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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
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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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Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- 著者: Joe Reis, Matt Housley
- ナレーター: Adam Verner
- 再生時間: 17 時間 31 分
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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.
著者: Joe Reis, 、その他
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Networking for Dummies, 11th Edition
- 著者: Doug Lowe
- ナレーター: David Stifel
- 再生時間: 13 時間 28 分
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Need networking know-how, but don't know where to turn? Run-don't walk-to the no-nonsense networking guidance offered in this friendly guide! Whether you're a networking administrator or an everyday computer user looking to set up a network in your home or office, Networking for Dummies, seamlessly gets you connected with the basics and gives you the knowledge to work out whatever kinks may come your way-in no time.
著者: Doug Lowe
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Blue Ocean Strategy
- How to Create Uncontested Market Space and Make Competition Irrelevant
- 著者: W. Chan Kim, Renee Mauborgne
- ナレーター: Grover Gardner
- 再生時間: 6 時間 27 分
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In an audiobook that challenges everything you thought you knew, W. Chan Kim and Renee Mauborgne assert that tomorrow's leading companies will succeed, not by battling their rivals for market share in the bloody "red ocean" of a shrinking profit pool, but by creating "blue oceans" of untapped new market spaces ripe for growth.
著者: W. Chan Kim, 、その他
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The Compound Effect
- Multiply Your Success One Simple Step at a Time
- 著者: Darren Hardy
- ナレーター: Darren Hardy
- 再生時間: 4 時間 44 分
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ストーリー
The Compound Effect contains the essence of what every super achiever needs to know, practice, and master to obtain extraordinary success. Inside you will hear strategies on how to win-every time; eradicating the bad habits that are derailing your progress; painlessly installing the few key disciplines required for major breakthroughs; the real, lasting keys to gaining and sustaining motivation; capturing the elusive, awesome force of momentum; and the acceleration secrets of superachievers.
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やる気を少しもらいました
- 投稿者: コヨーテ 日付: 2023/03/11
著者: Darren Hardy
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脳の大統一理論: 自由エネルギー原理とはなにか (岩波科学ライブラリー 299)
- 著者: 乾 敏郎, 阪口 豊
- ナレーター: 柴野 嵩大
- 再生時間: 4 時間 23 分
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ストーリー
脳は推論するシステムだ! 知覚、認知、運動、思考、意識──それぞれの仕組みの解明は進んできたが、それらを統一的に説明する理論が長らく不在だった。
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機械学習をやっている人は必読
- 投稿者: 本好き 日付: 2022/07/15
著者: 乾 敏郎, 、その他
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The Book of Why
- The New Science of Cause and Effect
- 著者: Judea Pearl, Dana Mackenzie
- ナレーター: Mel Foster
- 再生時間: 15 時間 14 分
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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.
著者: Judea Pearl, 、その他
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Game Theory
- A Very Short Introduction
- 著者: Ken Binmore
- ナレーター: Jesse Einstein
- 再生時間: 6 時間 11 分
- 完全版
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総合評価
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ナレーション
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Games are everywhere: Drivers maneuvering in heavy traffic are playing a driving game. Bargain hunters bidding on eBay are playing an auctioning game. The supermarket's price for corn flakes is decided by playing an economic game. This Very Short Introduction offers a succinct tour of the fascinating world of game theory, a groundbreaking field that analyzes how to play games in a rational way.
著者: Ken Binmore
あらすじ・解説
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. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems.
The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.