Data Science
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Narrated by:
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Chris Sorensen
About this listen
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.
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T-Minus AI
- Humanity's Countdown to Artificial Intelligence and the New Pursuit of Global Power
- By: Michael Kanaan
- Narrated by: Braden Wright
- Length: 8 hrs and 28 mins
- Unabridged
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In T-Minus AI: Humanity's Countdown to Artificial Intelligence and the New Pursuit of Global Power, author Michael Kanaan explains the realities of AI from a human-oriented perspective that's easy to comprehend. A recognized national expert and the U.S. Air Force's first Chairperson for Artificial Intelligence, Kanaan weaves a compelling new view on our history of innovation and technology to masterfully explain what each of us should know about modern computing, AI, and machine learning.
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Trivial Book Regarding AI
- By AstroMan on 10-30-20
By: Michael Kanaan
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The Amazon Way on IoT
- 10 Principles for Every Leader from the World's Leading Internet of Things Strategies
- By: John Rossman
- Narrated by: Christopher Lane
- Length: 5 hrs and 13 mins
- Unabridged
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The Amazon Way on IoT is for the leader who wants to understand how the Internet of things is transforming business and society. Listeners will discover business cases, key concepts, technologies and tools to help develop, explain and execute their own IoT approach through understanding Amazon's and other leading companies sophisticated IoT technologies and strategies.
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Very insightful, but quite boring
- By Riaan on 02-21-17
By: John Rossman
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The Fourth Industrial Revolution
- By: Klaus Schwab
- Narrated by: Nicholas Guy Smith
- Length: 5 hrs and 32 mins
- Unabridged
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World-renowned economist Klaus Schwab, founder and executive chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolution, which will fundamentally alter how we live and work.
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Friendly reminding : On August 15th, 1971, the dec
- By steve white on 03-24-21
By: Klaus Schwab
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Wow. Very long, very good, and great value!
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I loved, great starting point
- By Fernando Pérez on 06-22-24
By: Paul Leonardi, and others
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Data Driven Business Transformation
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- By: Peter Jackson, Caroline Carruthers
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Data Driven Business Transformation is the practical guide to harnessing your data to compete and thrive in today's dynamic marketplace. This essential resource provides the insight, knowledge and focus you require to transform your business - unlocking the power of data and revealing its hidden value. Delivering step-by-step instructions to every stage of data transformation, this book enables you to strengthen your data literacy and make effective data-driven decisions.
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Audio book needs to be complemented with diagrams
- By Viny on 04-13-23
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What listeners say about Data Science
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- Sarah Frahm
- 06-21-18
Comprehensive and clear
This is an excellent primer on the concepts, current state, and implications of data science.
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- K
- 04-22-20
it was ok
not great, not horrible. as much as you would expect from a small book on a broad subject
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- Andrew George
- 10-28-18
Comforting
There's probably two hours of material and the ethics/philosophy parts are too absolute for a book about data science. As for the material, most of the application side is common sense, but it was nice to hear it.
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1 person found this helpful
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- David Bush
- 08-18-22
A must have resource
This is a great source for Data Science Professionals. The concept are explained clearly and from the standpoint of early industry entry.
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- jlouviere
- 01-14-19
performance is borderline unlistenable
good overview/introduction; clear and concise- BUT the narration is atrocious. the reader has great diction and speaks with precision, but he clearly doesn't know much about the subject matter so for about the first 80% of the book he tries to make up for it by careening all over the place with his pitch, stress, juncture, and inflection. his stressing of arbitrary and inappropriate words and syllables takes fairly dense content and adds a layer of complexity that's baffling and unnecessary. to be fair, I'm sure he's a good narrator when it comes to content that he understands.
there we're also some problems with the audio editing in the first third of the book- paragraphs and chapters sometimes start in the middle of a word or sentence, so when you add that to his bizarre pitch modulation, it can be pretty disorienting and leave you wondering if there was something important that was left out.
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7 people found this helpful
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- A. Yoshida
- 10-03-19
Reference Book
This book reads like a reference book on data science. Good foundation for understanding data science (i.e., data set, machine learning, clustering, correlation/causation, big data, privacy, and trends).
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- Chris L.
- 02-22-22
that narrator.....aghhhhh!!
This was required reading in my CS degree, so I was thankful to find it on Audible for ease of reading. It's a short introduction to data science and, although a little sandpaper dry, was generally informative.
HOWEVER, the intonation, nasal vocal inflections and accent of the narrator makes me want to scrape my face across a bed of nails! It's even worse than early 1990s Michael Kramer! Its also monotonous, disinterested, and repetitive! If this wasn't required reading, I'd return it. As such, I'll just bear it and take LOTS of breaks.
Publisher, if you're reading this, for the love of God, re-do this narration!
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