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Deep Learning
- MIT Press Essential Knowledge Series
- ナレーター: Joel Richards
- 再生時間: 5 時間 49 分
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Audible会員プラン 無料体験
あらすじ・解説
Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. 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. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning-major trends, possible developments, and significant challenges.
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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 Deep Learning Revolution
- 著者: Terrence J. Sejnowski
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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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Introducing Python (2nd Edition)
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- 著者: Bill Lubanovic
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- 再生時間: 13 時間 3 分
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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.
著者: Bill Lubanovic
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Machine Learning: The New AI
- The MIT Press Essential Knowledge Series
- 著者: Ethem Alpaydi
- ナレーター: Steven Menasche
- 再生時間: 4 時間 24 分
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In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.
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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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The Rules of Programming
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This philosophy-of-programming guide presents a unique and entertaining take on how to think about programming. A collection of twenty-one pragmatic rules, each presented in a stand-alone chapter, captures the essential wisdom that every freshly minted programmer needs to know and provides thought-provoking insights for more seasoned programmers. Author Chris Zimmerman, cofounder of the video game studio Sucker Punch Productions, teaches basic truths of programming by wrapping them in memorable aphorisms and driving them home with examples drawn from real code.
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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.
著者: Tom Taulli
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The Deep Learning Revolution
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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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Introducing Python (2nd Edition)
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- 著者: Bill Lubanovic
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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.
著者: Bill Lubanovic
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Machine Learning: The New AI
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In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.
著者: Ethem Alpaydi
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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
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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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The Rules of Programming
- The Missing Manual: How to Write Better Code
- 著者: Chris Zimmerman
- ナレーター: Ray Greenley
- 再生時間: 7 時間 10 分
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This philosophy-of-programming guide presents a unique and entertaining take on how to think about programming. A collection of twenty-one pragmatic rules, each presented in a stand-alone chapter, captures the essential wisdom that every freshly minted programmer needs to know and provides thought-provoking insights for more seasoned programmers. Author Chris Zimmerman, cofounder of the video game studio Sucker Punch Productions, teaches basic truths of programming by wrapping them in memorable aphorisms and driving them home with examples drawn from real code.
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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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AI and Machine Learning for Coders
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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.
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Deep Learning for Finance
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Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.
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Understanding Software
- Max Kanat-Alexander on Simplicity, Coding, and How to Suck Less as a Programmer
- 著者: Max Kanat-Alexander
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- 再生時間: 6 時間 4 分
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In Understanding Software, Max Kanat-Alexander, Technical Lead for Code Health at Google, shows you how to bring simplicity back to computer programming. Max explains to you why programmers suck, and how to suck less as a programmer. There's just too much complex stuff in the world. Complex stuff can't be used, and it breaks too easily. Complexity is stupid. Simplicity is smart.
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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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The Book of Why
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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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Data Science
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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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The McKinsey Way
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- 再生時間: 4 時間 19 分
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When Fortune 100 corporations are stymied, it's the "McKinsey-ites" whom they call for help. Former McKinsey associate Ethan Rasiel lifts the veil to show you how the secretive McKinsey works its magic, and helps you emulate the firm's well-honed practices in problem solving, communication, and management. Both a behind-the-scenes look at one of the most admired and secretive companies in the business world and a toolkit of problem-solving techniques without peer, The McKinsey Way empowers every business decision maker to become a better strategic player in any organization.
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Software Engineering at Google
- Lessons Learned from Programming Over Time
- 著者: Titus Winters, Tom Manshreck, Hyrum Wright
- ナレーター: Mark Sando
- 再生時間: 23 時間 36 分
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How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.
著者: Titus Winters, 、その他
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Causal Inference
- MIT Press Essential Knowledge Series
- 著者: Paul r. Rosenbaum
- ナレーター: Chris Monteiro
- 再生時間: 4 時間 25 分
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Causal Inference provides a brief and nontechnical introduction to randomized experiments, propensity scores, natural experiments, instrumental variables, sensitivity analysis, and quasi-experimental devices. Ideas are illustrated with examples from medicine, epidemiology, economics and business, the social sciences, and public policy.
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Building Microservices
- Designing Fine-Grained Systems
- 著者: Sam Newman
- ナレーター: Theodore O'Brien
- 再生時間: 21 時間 12 分
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As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.
著者: Sam Newman
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Cybersecurity
- The Insights You Need from Harvard Business Review
- 著者: Harvard Business Review, Alex Blau, Andrew Burt, 、その他
- ナレーター: Jonathan Todd Ross
- 再生時間: 2 時間 56 分
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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.
著者: Harvard Business Review, 、その他
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The Amazon Way: Amazon's 14 Leadership Principles
- 著者: John Rossman, Tom Alberg - foreword
- ナレーター: Jeff Cummings
- 再生時間: 4 時間 40 分
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The 3rd edition of The Amazon Way is one of the rare business leadership books giving actionable insights for innovation and business growth to be the basis for your digital transformation gameplan. The Amazon Way translates Amazon's unique culture and management practices into insights and opportunities, as only an Amazon executive and expert advisor could do for the Amazon Leadership Principles giving listeners one of the essential business leadership books for the digital era.
著者: John Rossman, 、その他
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大規模言語モデルは新たな知能か――ChatGPTが変えた世界
- 著者: 岡野原 大輔
- ナレーター: 小堀 真生
- 再生時間: 3 時間 30 分
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対話型サービスChatGPTは驚きをもって迎えられ,IT企業間で類似サービスをめぐる激しい開発競争が起こりつつある.それらを支える大規模言語モデルとはどのような仕組みなのか.
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chatGPTの本で良いものは無い
- 投稿者: レビュア 日付: 2024/07/24
著者: 岡野原 大輔
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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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Think Bigger
- How to Innovate
- 著者: Sheena Iyengar
- ナレーター: Orlagh Cassidy
- 再生時間: 6 時間 44 分
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Iyengar provides essential tools to spark creative thinking and help us make our most meaningful choices. She draws from recent advances in neuro- and cognitive sciences to give listeners a set of practical steps for coming up with powerful new ideas. Think Bigger offers an innovative evidence-backed method for generating big ideas that Iyengar and her team of researchers developed and refined over the last decade.
著者: Sheena Iyengar
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The Demon-Haunted World
- Science as a Candle in the Dark
- 著者: Carl Sagan
- ナレーター: Cary Elwes, Seth MacFarlane
- 再生時間: 17 時間 23 分
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How can we make intelligent decisions about our increasingly technology-driven lives if we don’t understand the difference between the myths of pseudoscience and the testable hypotheses of science? Pulitzer Prize-winning author and distinguished astronomer Carl Sagan argues that scientific thinking is critical not only to the pursuit of truth but to the very well-being of our democratic institutions.
著者: Carl Sagan
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Nudge: The Final Edition
- Improving Decisions About Money, Health, and the Environment
- 著者: Richard H. Thaler, Cass R. Sunstein
- ナレーター: Sean Pratt
- 再生時間: 11 時間 33 分
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Since the original publication of Nudge more than a decade ago, the title has entered the vocabulary of businesspeople, policy makers, engaged citizens, and consumers everywhere. The book has given rise to more than 200 "nudge units" in governments around the world and countless groups of behavioral scientists in every part of the economy. It has taught us how to use thoughtful "choice architecture" - a concept the authors invented - to help us make better decisions for ourselves, our families, and our society.
著者: Richard H. Thaler, 、その他
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Finding Flow
- The Psychology of Engagement with Everyday Life
- 著者: Mihaly Csikszentmihalyi
- ナレーター: Sean Pratt
- 再生時間: 5 時間 6 分
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Based on a far-reaching study of thousands of individuals, Finding Flow contends that we often walk through our days unaware of and out of touch with our emotional lives. Our inattention makes us constantly bounce between two extremes: During much of the day, we live filled with the anxiety and pressures of our work and obligations, and during our leisure moments, we tend to live in passive boredom.
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キクタンサイエンス 工学編
- 著者: 佐藤 洋一
- ナレーター: アルク
- 再生時間: 57 分
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工学に関する英単語を「聞いて」覚える!
著者: 佐藤 洋一
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Practicing the Power of Now
- Essential Teachings, Meditations, and Exercises From The Power of Now
- 著者: Eckhart Tolle
- ナレーター: Eckhart Tolle
- 再生時間: 2 時間 56 分
- 完全版
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ストーリー
Practicing the Power of Now is a carefully arranged series of excerpts from the The Power of Now that directly gives us those exercises and keys. Return to those words, reflect on the words, reflect even on the space between the words and - maybe over time, maybe immediately - you'll discover something of life-changing significance.
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The guide to enlightment
- 投稿者: Jon Per Persent 日付: 2020/12/17
著者: Eckhart Tolle
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The Clean Coder
- A Code of Conduct for Professional Programmers
- 著者: Robert C. Martin
- ナレーター: Theodore O'Brien
- 再生時間: 6 時間 12 分
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Great software is something to marvel at: powerful, elegant, functional, a pleasure to work with as both a developer and as a user. Great software isn’t written by machines. It is written by professionals with an unshakable commitment to craftsmanship. The Clean Coder will help you become one of them - and earn the pride and fulfillment that they alone possess.
著者: Robert C. Martin
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Artificial Intelligence
- The Insights You Need from Harvard Business Review
- 著者: Harvard Business Review, Thomas H Davenport, Erik Brynjolfsson, 、その他
- ナレーター: Jonathan Todd Ross
- 再生時間: 3 時間 31 分
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From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your competitors in the age of AI? Artificial Intelligence: The Insights You Need from Harvard Business Review brings you today's most essential thinking on AI and explains how to launch the right initiatives at your company to capitalize on the opportunity of the machine intelligence revolution.
著者: Harvard Business Review, 、その他
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Simple Rules
- How to Thrive in a Complex World
- 著者: Donald Sull, Kathleen M. Eisenhardt
- ナレーター: Jeff Cummings
- 再生時間: 7 時間 54 分
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We struggle to manage complexity every day. We follow intricate diets to lose weight, juggle multiple remotes to operate our home entertainment systems, face proliferating data at the office, and hack through thickets of regulation at tax time. But complexity isn't destiny. Sull and Eisenhardt argue there's a better way: by developing a few simple yet effective rules, you can tackle even the most complex problems.
著者: Donald Sull, 、その他