
Data Science
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Narrado por:
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Chris Sorensen
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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. 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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- How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
- De: Alex J. Gutman, Jordan Goldmeier
- Narrado por: Brian Arens
- Duración: 7 h y 41 m
- Versión completa
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General
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Historia
Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.
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Great Start for Those interested in data.
- De armando en 09-02-24
De: Alex J. Gutman, y otros
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Data Science for Dummies
- 2nd Edition
- De: Lillian Pierson, Jake Porway - foreword
- Narrado por: Chloe Cannon
- Duración: 10 h y 28 m
- Versión completa
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General
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Narración:
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Historia
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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Avoid as it is useless
- De Ras en 03-01-20
De: Lillian Pierson, y otros
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Metadata
- The MIT Press Essential Knowledge Series
- De: Jeffrey Pomerantz
- Narrado por: Steven Menasche
- Duración: 5 h y 8 m
- Versión completa
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General
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Narración:
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Historia
When "metadata" became breaking news, appearing in stories about surveillance by the National Security Agency, many members of the public encountered this once-obscure term from information science for the first time. Should people be reassured that the NSA was "only" collecting metadata about phone calls - information about the caller, the recipient, the time, the duration, the location - and not recordings of the conversations themselves? Or does phone call metadata reveal more than it seems?
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This Rocks!
- De M.Biblioswine en 07-31-20
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Data Analytics, Data Visualization & Communicating Data: 3 books in 1
- Learn the Processes of Data Analytics and Data Science, Create Engaging Data Visualizations, and Present Data Effectively
- De: Elizabeth Clarke
- Narrado por: Brennan Koenigsreuter
- Duración: 11 h y 2 m
- Versión completa
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General
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Narración:
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Historia
Harvard Business Review called data science “the sexiest job of the 21st century,” so it's no surprise that data science jobs have grown up to 20x in the last 3 years. With demand outpacing supply, companies are willing to pay top dollar for talented data professionals. However…To stand out in one of these positions, having foundational knowledge of interpreting data is essential.
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Make a Successful Career out of data Analytics
- De Kristin Reavis en 12-10-22
De: Elizabeth Clarke
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Data Science for Business
- What You Need to Know About Data Mining and Data-Analytic Thinking
- De: Foster Provost, Tom Fawcett
- Narrado por: Benjamin Lange
- Duración: 12 h y 46 m
- Versión completa
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General
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Historia
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.
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What I Was Looking For
- De Sean en 05-20-22
De: Foster Provost, y otros
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Deep Learning
- MIT Press Essential Knowledge Series
- De: John D. Kelleher
- Narrado por: Joel Richards
- Duración: 5 h y 49 m
- Versión completa
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General
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Narración:
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Historia
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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Yikes
- De Elliot Blanford en 10-27-19
De: John D. Kelleher
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Becoming a Data Head
- How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
- De: Alex J. Gutman, Jordan Goldmeier
- Narrado por: Brian Arens
- Duración: 7 h y 41 m
- Versión completa
-
General
-
Narración:
-
Historia
Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.
-
-
Great Start for Those interested in data.
- De armando en 09-02-24
De: Alex J. Gutman, y otros
-
Data Science for Dummies
- 2nd Edition
- De: Lillian Pierson, Jake Porway - foreword
- Narrado por: Chloe Cannon
- Duración: 10 h y 28 m
- Versión completa
-
General
-
Narración:
-
Historia
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.
-
-
Avoid as it is useless
- De Ras en 03-01-20
De: Lillian Pierson, y otros
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Metadata
- The MIT Press Essential Knowledge Series
- De: Jeffrey Pomerantz
- Narrado por: Steven Menasche
- Duración: 5 h y 8 m
- Versión completa
-
General
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Narración:
-
Historia
When "metadata" became breaking news, appearing in stories about surveillance by the National Security Agency, many members of the public encountered this once-obscure term from information science for the first time. Should people be reassured that the NSA was "only" collecting metadata about phone calls - information about the caller, the recipient, the time, the duration, the location - and not recordings of the conversations themselves? Or does phone call metadata reveal more than it seems?
-
-
This Rocks!
- De M.Biblioswine en 07-31-20
-
Data Analytics, Data Visualization & Communicating Data: 3 books in 1
- Learn the Processes of Data Analytics and Data Science, Create Engaging Data Visualizations, and Present Data Effectively
- De: Elizabeth Clarke
- Narrado por: Brennan Koenigsreuter
- Duración: 11 h y 2 m
- Versión completa
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General
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Narración:
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Historia
Harvard Business Review called data science “the sexiest job of the 21st century,” so it's no surprise that data science jobs have grown up to 20x in the last 3 years. With demand outpacing supply, companies are willing to pay top dollar for talented data professionals. However…To stand out in one of these positions, having foundational knowledge of interpreting data is essential.
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Make a Successful Career out of data Analytics
- De Kristin Reavis en 12-10-22
De: Elizabeth Clarke
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Algorithms
- MIT Press Essential Knowledge Series
- De: Panos Louridas
- Narrado por: Jonathan Todd Ross
- Duración: 5 h y 23 m
- Versión completa
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General
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Historia
After discussing what an algorithm does and how its effectiveness can be measured, Louridas covers three of the most fundamental applications areas: graphs, which describe networks, from eighteenth-century problems to today's social networks; searching, and how to find the fastest way to search; and sorting, and the importance of choosing the best algorithm for particular tasks. He then presents larger-scale applications: PageRank, Google's founding algorithm; and neural networks and deep learning.
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BEWARE - No accompanying PDF!
- De Anonymous User en 01-31-24
De: Panos Louridas
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Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business and Machine Learning for Beginners
- De: Herbert Jones
- Narrado por: Sam Slydell
- Duración: 5 h y 18 m
- Versión completa
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General
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Historia
Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.
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Skip it
- De Amanda en 02-27-19
De: Herbert Jones
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Quantum Entanglement
- MIT Press Essential Knowledge Series
- De: Jed Brody
- Narrado por: Jonathan Todd Ross
- Duración: 3 h y 34 m
- Versión completa
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Quantum physics is notable for its brazen defiance of common sense. (Think of Schrödinger's Cat, famously both dead and alive.) An especially rigorous form of quantum contradiction occurs in experiments with entangled particles. Our common assumption is that objects have properties whether or not anyone is observing them, and the measurement of one can't affect the other. Quantum entanglement rejects this assumption, offering impeccable reasoning and irrefutable evidence of the opposite. Is quantum entanglement mystical, or just mystifying?
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gappy and devoid of rigor
- De Anonymous User en 05-03-20
De: Jed Brody
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Data Science
- What You Need to Know About Data Analytics, Data Mining, Regression Analysis, Artificial Intelligence, Big Data for Business, Data Visualization, Database Querying, and Machine Learning
- De: Richard Hurley
- Narrado por: Sam Slydell
- Duración: 3 h y 3 m
- Versión completa
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General
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Historia
If you want to learn about data science, then pay attention...This audiobook will discuss everything that you need to know when it comes to working in the field of data science. There is so much that we can explore and learn about when it comes to the world of data science, and this ultimate guide is here to help you navigate through these specialties. You will see just how important the ideas of data mining, data analytics, and even artificial intelligence are to our world as a whole today.
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Poor written, very light knowledge of the subject
- De Anonymous User en 09-24-21
De: Richard Hurley
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Robots
- The MIT Press Essential Knowledge series
- De: John M. Jordan
- Narrado por: Walter Dixon
- Duración: 5 h y 11 m
- Versión completa
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General
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Narración:
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Historia
Robots are entering the mainstream. Technologies have advanced to the point of mass commercialization - Roomba, for example - and adoption by governments - most notably, their use of drones. Meanwhile, these devices are being received by a public whose main sources of information about robots are the fantasies of popular culture. We know a lot about C-3PO and Robocop, but not much about Atlas, Motoman, Kiva, or Beam - real-life robots that are reinventing warfare, the industrial workplace, and collaboration.
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A broad description of the state of the art
- De Gonzalo Alberto Gomez A en 01-05-18
De: John M. Jordan
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Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy
- Python for Data Science, Book 2
- De: Oliver Theobald
- Narrado por: Scott Morgan
- Duración: 3 h y 41 m
- Versión completa
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General
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Narración:
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Historia
Make better decisions with this easy deconstructed guide to data analytics. Want to add data analytics to your skill stack? Having trouble finding where to start? Cell-by-cell, bit-by-bit, this audiobook teaches you the vocabulary, tools, and basic algorithms to think like a data scientist. Like putting together a complex Lego set, each section connects and adds individual blocks of knowledge to build your data literacy. This linear structure to unpacking data analytics takes you from zero to confidently analyzing and discussing data problems.
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Audio still needs a final edit
- De Amazon Customer en 01-05-23
De: Oliver Theobald
Lo que los oyentes dicen sobre Data Science
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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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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Historia
- 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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esto le resultó útil a 1 persona
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Historia
- 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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- 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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esto le resultó útil a 7 personas
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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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