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Data Science for Dummies
- 2nd Edition
- Narrado por: Chloe Cannon
- Duración: 10 h y 28 m
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Data Science for Dummies
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Resumen del Editor
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.
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- Duración: 11 h y 2 m
- Versión completa
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General5 out of 5 stars 49
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Narración:5 out of 5 stars 47
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Historia5 out of 5 stars 47
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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5 out of 5 stars
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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: 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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General4 out of 5 stars 64
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Narración:4 out of 5 stars 59
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Historia4 out of 5 stars 57
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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1 out of 5 stars
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Skip it
- De Amanda en 02-27-19
De: Herbert Jones
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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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General5 out of 5 stars 4
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Narración:4 out of 5 stars 3
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Historia4.5 out of 5 stars 3
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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5 out of 5 stars
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Audio still needs a final edit
- De Amazon Customer en 01-05-23
De: Oliver Theobald
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Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- De: Joe Reis, Matt Housley
- Narrado por: Adam Verner
- Duración: 17 h y 31 m
- Versión completa
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General4.5 out of 5 stars 26
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Narración:4.5 out of 5 stars 22
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Historia4.5 out of 5 stars 22
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.
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5 out of 5 stars
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Great for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, y otros
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Build a Career in Data Science
- De: Emily Robinson, Jacqueline Nolis
- Narrado por: Jeromy Lloyd
- Duración: 14 h y 48 m
- Versión completa
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General5 out of 5 stars 17
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Narración:5 out of 5 stars 16
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Historia5 out of 5 stars 16
You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee.
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5 out of 5 stars
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Excellent complement to an introductory course in Data Science
- De Basheer en 07-15-21
De: Emily Robinson, y otros
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Data Science
- De: John D. Kelleher, Brendan Tierney
- Narrado por: Chris Sorensen
- Duración: 5 h y 51 m
- Versión completa
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General4 out of 5 stars 88
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Narración:4 out of 5 stars 79
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Historia4.5 out of 5 stars 79
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.
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3 out of 5 stars
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performance is borderline unlistenable
- De jlouviere en 01-14-19
De: John D. Kelleher, y otros
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Naked Statistics
- Stripping the Dread from the Data
- De: Charles Wheelan
- Narrado por: Jonathan Davis
- Duración: 10 h y 48 m
- Versión completa
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General4.5 out of 5 stars 3,455
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Narración:4.5 out of 5 stars 2,922
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Historia4.5 out of 5 stars 2,907
From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.
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3 out of 5 stars
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Starts well then becomes non-Audible
- De Michael en 09-07-13
De: Charles Wheelan
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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
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General5 out of 5 stars 2
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Narración:5 out of 5 stars 2
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Historia5 out of 5 stars 2
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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5 out of 5 stars
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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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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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General4 out of 5 stars 20
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Narración:4 out of 5 stars 17
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Historia4.5 out of 5 stars 17
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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1 out of 5 stars
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Yikes
- De Elliot Blanford en 10-27-19
De: John D. Kelleher
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Learn Coding Basics in Hours with Python
- An Introduction to Computer Programming for Absolute Beginners
- De: Tech Academy, Jack C. Stanley, Erik Gross
- Narrado por: Virtual Voice
- Duración: 2 h y 33 m
- Versión completa
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General3 out of 5 stars 6
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Narración:2.5 out of 5 stars 6
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Historia3 out of 5 stars 6
Newly updated for 2024! Want to learn how to code in less than a day? This book was designed for absolute beginners – you don’t need any prior experience or knowledge. Written by the Co-Founders of The Tech Academy (www.learncodinganywhere.com), it serves as a perfect introduction to computer programming for anyone. This book utilizes Python, one of the most popular programming languages in the world. Learn Coding Basics in Hours with Python is easy and simple, and it can be completed fast. The Tech Academy is a technology school that specializes in coding bootcamps. You can enroll ...
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1 out of 5 stars
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Just don't
- De Steven Jenkins en 10-29-24
De: Tech Academy, y otros
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Database Internals
- A Deep Dive into How Distributed Data Systems Work, 1st Edition
- De: Alex Petrov
- Narrado por: Mike Chamberlain
- Duración: 12 h y 51 m
- Versión completa
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General4 out of 5 stars 6
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Narración:5 out of 5 stars 5
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Historia3.5 out of 5 stars 5
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.
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5 out of 5 stars
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I can't believe this exists as an audiobook.
- De Michael Marcin en 12-18-23
De: Alex Petrov
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Deep Learning with Python (Second Edition)
- De: Francois Chollet
- Narrado por: Derek Dysart
- Duración: 15 h y 1 m
- Versión completa
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General4 out of 5 stars 15
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Narración:4.5 out of 5 stars 13
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Historia4.5 out of 5 stars 13
Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
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1 out of 5 stars
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Audible version is useless - has no PDF
- De Jim en 03-04-22
De: Francois Chollet
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Everything Data Analytics A Beginner's Guide to Data Literacy
- Understanding the Processes That Turn Data Into Insights
- De: Elizabeth Clarke
- Narrado por: Brennan Koenigsreuter
- Duración: 3 h y 22 m
- Versión completa
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General4.5 out of 5 stars 77
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Narración:4.5 out of 5 stars 74
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Historia4.5 out of 5 stars 74
With the world going remote, and data science following along, you can start and pursue a career in data right here, right now. How do I start? What do I need to know? What is data analytics? I'm sure one, if not all, of these questions have run through your mind. Well, the answer is data literacy: the ability to read, understand, and communicate data into information. Building a solid foundation of practical knowledge is the first step to being successful in data. From there, you can finally decide what direction you should go in and start gaining the required knowledge.
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5 out of 5 stars
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Great material for starters
- De Amazon Customer en 08-01-22
De: Elizabeth Clarke
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Artificial Intelligence in Practice
- How 50 Successful Companies Used AI and Machine Learning to Solve Problems
- De: Bernard Marr, Matt Ward - contributor
- Narrado por: Mike Chamberlain
- Duración: 7 h y 2 m
- Versión completa
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General4.5 out of 5 stars 183
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Narración:4.5 out of 5 stars 161
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Historia4 out of 5 stars 160
Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.
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5 out of 5 stars
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Nice Consistent Format
- De Steve Hunt en 06-19-19
De: Bernard Marr, y otros
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Information Architecture
- For the Web and Beyond
- De: Louis Rosenfeld, Peter Morville, Jorge Arango
- Narrado por: Theodore O'Brien
- Duración: 11 h
- Versión completa
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General4.5 out of 5 stars 27
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Narración:4.5 out of 5 stars 22
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Historia4.5 out of 5 stars 22
Information architecture (IA) is far more challenging - and necessary - than ever. To guide you through this broad ecosystem, this popular guide - now in its fourth edition - provides essential concepts, methods, and techniques for digital design that have withstood the test of time. UX designers, product managers, developers, and anyone involved in digital design will learn how to create semantic structures that will help people engage with your message.
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5 out of 5 stars
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Well organized and right to the points
- De Jessica en 06-08-23
De: Louis Rosenfeld, y otros
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The Theory That Would Not Die
- How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy
- De: Sharon Bertsch McGrayne
- Narrado por: Laural Merlington
- Duración: 11 h y 51 m
- Versión completa
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General4.5 out of 5 stars 487
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Narración:4 out of 5 stars 409
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Historia4.5 out of 5 stars 409
Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok. Sharon Bertsch McGrayne here explores this controversial theorem and the human obsessions surrounding it.
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4 out of 5 stars
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Who is the intended audience?
- De Billy en 07-21-14
Lo que los oyentes dicen sobre Data Science for Dummies
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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Total4 out of 5 stars
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Ejecución5 out of 5 stars
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Historia4 out of 5 stars
- Robby
- 02-09-23
Good info
As a general overview I think this is a great book to start your Dadta Science journey.
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Total1 out of 5 stars
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Ejecución1 out of 5 stars
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Historia1 out of 5 stars
- Ras
- 03-01-20
Avoid as it is useless
This book is full of some useless technical details. It is unbearably boring.The book does not serve its purpose, i.e. overviewing the topic for non-experts. It cannot be useful for experts either. I guess the other ratings came from friends of the authors as they do not make sense with all respect to different views. This book was a big disappointment for me!
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esto le resultó útil a 6 personas
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Total1 out of 5 stars
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Ejecución1 out of 5 stars
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Historia1 out of 5 stars
- Ralph Michael Hagemeier
- 03-03-20
A huge disappointment
The book never finds the right balance what audience to address and the narrating voice is so monotone and uninvolved that listening is physically painful.
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esto le resultó útil a 2 personas