Data Science for Dummies
2nd Edition
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Audibleプレミアムプラン30日間無料体験
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ナレーター:
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Chloe Cannon
このコンテンツについて
Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. 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.
While this book serves as a wildly fantastic guide through the broad, sometimes intimidating field of big data and data science, it is not an instruction manual for hands-on implementation. Here's what to expect:
- Provides a background in big data and data engineering before moving on to data science and how it's applied to generate value.
- Includes coverage of big data frameworks like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL.
- And more...
It's a big, big data world out there - let Data Science for Dummies help you harness its power and gain a competitive edge for your organization.
©2017 John Wiley & Sons, Inc. (P)2019 Tantorこちらもおすすめ
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Good to Review Your Skills Once in a While!
- 投稿者: Amazon カスタマー 日付: 2025/05/30
著者: Leil Lowndes
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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
- 完全版
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総合評価3.5 out of 5 stars 4
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ナレーション1 out of 5 stars 1
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ストーリー1 out of 5 stars 1
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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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
- 完全版
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総合評価5 out of 5 stars 1
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ナレーション5 out of 5 stars 1
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ストーリー5 out of 5 stars 1
"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