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Dark Data: Why What You Don`t Know Matters, Hand David J.


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Автор: Hand David J.
Название:  Dark Data: Why What You Don`t Know Matters
ISBN: 9780691182377
Издательство: Wiley
Классификация:



ISBN-10: 069118237X
Обложка/Формат: Hardcover
Страницы: 336
Вес: 0.76 кг.
Дата издания: 28.01.2020
Язык: English
Иллюстрации: 6 b/w illus. 6 tables.
Размер: 213 x 149 x 25
Читательская аудитория: General (us: trade)
Подзаголовок: Why what you don`t know matters
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание:

A practical guide to making good decisions in a world of missing data

In the era of big data, it is easy to imagine that we have all the information we need to make good decisions. But in fact the data we have are never complete, and may be only the tip of the iceberg. Just as much of the universe is composed of dark matter, invisible to us but nonetheless present, the universe of information is full of dark data that we overlook at our peril. In Dark Data, data expert David Hand takes us on a fascinating and enlightening journey into the world of the data we dont see.

Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand gives us a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognize and control for them. In doing so, he teaches us not only to be alert to the problems presented by the things we dont know, but also shows how dark data can be used to our advantage, leading to greater understanding and better decisions.

Today, we all make decisions using data. Dark Data shows us all how to reduce the risk of making bad ones.




Data Science For Business: What You Need To Know About Data Mining And Dataanalytic Thinking

Автор: Foster Provost
Название: Data Science For Business: What You Need To Know About Data Mining And Dataanalytic Thinking
ISBN: 1449361323 ISBN-13(EAN): 9781449361327
Издательство: Wiley
Рейтинг:
Цена: 6334.00 р.
Наличие на складе: Есть (1 шт.)
Описание: This broad, deep, but not-too-technical guide introduces you to 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.

Data Science 101: The Ultimate Guide on What you Need to Know to Work with Data Using Python, Tips, and Tricks to Learn Data Analytics,

Автор: Park Andrew
Название: Data Science 101: The Ultimate Guide on What you Need to Know to Work with Data Using Python, Tips, and Tricks to Learn Data Analytics,
ISBN: 1801779627 ISBN-13(EAN): 9781801779623
Издательство: Неизвестно
Рейтинг:
Цена: 3306.00 р.
Наличие на складе: Нет в наличии.

Описание:

★ 55% OFF for Bookstores NOW at $ 23,97 instead of $33.97 LAST DAYS ★



Your Customers Will Never Stop To Use This Amazing Guide


Do you want to know how Data science helps in business?

This book will discuss everything that we need to know when it comes to data science and how to complete the process of data science with Python. There are so many different parts that come together when we work on data science, but if you are able to put it all together, and work to really analyze the information that you have to beat out the competition, you will find that data science with Python can be the right move for you.

We will explore how so many businesses will take the time to gather up information, usually from a variety of sources, and then will be unsure of what they should do with that information once they have collected it. We can then take a look at the data life cycle and how we can take that information, clean it off, analyze it, and come up with insights and predictions that help grow our business more than ever before. We will spend this time looking what Python is about, how to download the program on your chosen operating system, and some of the basics that come with coding in Python.

This guidebook went through all of the steps that you need to know in order to get started with data science and some of the basic parts of the Python code. We can then put all of this together in order to create the right analytical algorithm that, once it is trained properly and tested with the right kinds of data, will work to make predictions, provide information, and even show us insights that were never possible before. And all that you need to do to get this information is to use the steps that we outline and discuss in this guidebook.

There is a lot of buzz in the business world, no matter what industry it is, about machine learning, the Python language, and of course, data science, and being able to put these terms together and learn how they work can make a big difference in how well your business will do now and in the future. There are already a ton of companies out there who have been able to gain a competitive edge with data science and the various models and algorithms of Python that go with it, and you can as well.

This book covers:

  • What is Data Science?
  • The Python Coding Language
  • Some of the Basic Coding in Python
  • The Best Python Libraries to Use with Data Science
  • The Basics of Jupyter and Why We Should Use It
  • Working with Anaconda in Python
  • The Basics of the Pandas Library
  • What is WinPython and How Can We Use It?
  • Common Tasks to Do in Info Science
  • Different Data Types to Work With
  • The Future of Data Science and Where It Will Go from Here

There are so many great ways that you can use the data you have been collecting for some time now and being able to complete the process of data visualization will ensure that you get it all done. When you are ready to get started with Python data science, make sure to check out this guidebook to learn how.

There is so much that can come into play when we work with data science, and it is one of the best ways for a business to differentiate from the competition and actually see some results in the process. And the Python language is a great option to learn to help us analyze and create a model that works with the info that we have. When we are ready to learn more about data science, and how to use the Python coding language to go with it, make sure to check out this guidebook to help you get started.


Buy it NOW and let your customers get addicted to this amazing book

Data Science 101: The Ultimate Guide on What you Need to Know to Work with Data Using Python, Tips and Tricks to Learn Data Analytics, M

Автор: Park Andrew
Название: Data Science 101: The Ultimate Guide on What you Need to Know to Work with Data Using Python, Tips and Tricks to Learn Data Analytics, M
ISBN: 1801779600 ISBN-13(EAN): 9781801779609
Издательство: Неизвестно
Рейтинг:
Цена: 3031.00 р.
Наличие на складе: Нет в наличии.

Описание:

★ 55% OFF for Bookstores NOW at $ 21,97 instead of $31.97 LAST DAYS ★



Your Customers Will Never Stop To Use This Amazing Guide


Do you want to know how Data science helps in business?

This book will discuss everything that we need to know when it comes to data science and how to complete the process of data science with Python. There are so many different parts that come together when we work on data science, but if you are able to put it all together, and work to really analyze the information that you have to beat out the competition, you will find that data science with Python can be the right move for you.

We will explore how so many businesses will take the time to gather up information, usually from a variety of sources, and then will be unsure of what they should do with that information once they have collected it. We can then take a look at the data life cycle and how we can take that information, clean it off, analyze it, and come up with insights and predictions that help grow our business more than ever before. We will spend this time looking what Python is about, how to download the program on your chosen operating system, and some of the basics that come with coding in Python.

This guidebook went through all of the steps that you need to know in order to get started with data science and some of the basic parts of the Python code. We can then put all of this together in order to create the right analytical algorithm that, once it is trained properly and tested with the right kinds of data, will work to make predictions, provide information, and even show us insights that were never possible before. And all that you need to do to get this information is to use the steps that we outline and discuss in this guidebook.

There is a lot of buzz in the business world, no matter what industry it is, about machine learning, the Python language, and of course, data science, and being able to put these terms together and learn how they work can make a big difference in how well your business will do now and in the future. There are already a ton of companies out there who have been able to gain a competitive edge with data science and the various models and algorithms of Python that go with it, and you can as well.

This book covers:

  • What is Data Science?
  • The Python Coding Language
  • Some of the Basic Coding in Python
  • The Best Python Libraries to Use with Data Science
  • The Basics of Jupyter and Why We Should Use It
  • Working with Anaconda in Python
  • The Basics of the Pandas Library
  • What is WinPython and How Can We Use It?
  • Common Tasks to Do in Info Science
  • Different Data Types to Work With
  • The Future of Data Science and Where It Will Go from Here

There are so many great ways that you can use the data you have been collecting for some time now and being able to complete the process of data visualization will ensure that you get it all done. When you are ready to get started with Python data science, make sure to check out this guidebook to learn how.

There is so much that can come into play when we work with data science, and it is one of the best ways for a business to differentiate from the competition and actually see some results in the process. And the Python language is a great option to learn to help us analyze and create a model that works with the info that we have. When we are ready to learn more about data science, and how to use the Python coding language to go with it, make sure to check out this guidebook to help you get started.


Buy it NOW and let your customers get addicted to this amazing book

What do we know and what should we do about internet privacy?

Автор: Bernal, Paul
Название: What do we know and what should we do about internet privacy?
ISBN: 1529707676 ISBN-13(EAN): 9781529707670
Издательство: Sage Publications
Рейтинг:
Цена: 2058.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Paul Bernal addresses the issue of privacy on the internet and how it is challenged in a wide variety of ways - from large social media companies, whose entire business models are based on privacy invasion, through the developing technologies of facial recognition and the internet of things, to the desire of governments to monitor our every activity online.

The Death of Expertise: The Campaign Against Established Knowledge and Why It Matters

Автор: Nichols Tom
Название: The Death of Expertise: The Campaign Against Established Knowledge and Why It Matters
ISBN: 0190865970 ISBN-13(EAN): 9780190865979
Издательство: Oxford Academ
Рейтинг:
Цена: 2216.00 р.
Наличие на складе: Поставка под заказ.

Описание: Technology and increasing levels of education have exposed people to more information than ever before. These societal gains, however, have also helped fuel a surge in narcissistic and misguided intellectual egalitarianism that has crippled informed debates on any number of issues. Today,
everyone knows everything: with only a quick trip through WebMD or Wikipedia, average citizens believe themselves to be on an equal intellectual footing with doctors and diplomats. All voices, even the most ridiculous, demand to be taken with equal seriousness, and any claim to the contrary is
dismissed as undemocratic elitism.

Tom Nichols' The Death of Expertise shows how this rejection of experts has occurred: the openness of the internet, the emergence of a customer satisfaction model in higher education, and the transformation of the news industry into a 24-hour entertainment machine, among other reasons.
Paradoxically, the increasingly democratic dissemination of information, rather than producing an educated public, has instead created an army of ill-informed and angry citizens who denounce intellectual achievement. When ordinary citizens believe that no one knows more than anyone else, democratic
institutions themselves are in danger of falling either to populism or to technocracy or, in the worst case, a combination of both. An update to the 2017breakout hit, the paperback edition of The Death of Expertise provides a new foreword to cover the alarming exacerbation of these trends in the
aftermath of Donald Trump's election. Judging from events on the ground since it first published, The Death of Expertise issues a warning about the stability and survival of modern democracy in the Information Age that is even more important today.

Data Science 101: The Ultimate Guide on What you Need to Know to Work with Data Using Python, Tips, and Tricks to Learn Data Analytics,

Автор: Park Andrew
Название: Data Science 101: The Ultimate Guide on What you Need to Know to Work with Data Using Python, Tips, and Tricks to Learn Data Analytics,
ISBN: 1801779635 ISBN-13(EAN): 9781801779630
Издательство: Неизвестно
Рейтинг:
Цена: 4686.00 р.
Наличие на складе: Нет в наличии.

Описание:

★ 55% OFF for Bookstores NOW at $ 33,97 instead of $43.97 LAST DAYS ★



Your Customers Will Never Stop To Use This Amazing Guide


Do you want to know how Data science helps in business?

This book will discuss everything that we need to know when it comes to data science and how to complete the process of data science with Python. There are so many different parts that come together when we work on data science, but if you are able to put it all together, and work to really analyze the information that you have to beat out the competition, you will find that data science with Python can be the right move for you.

We will explore how so many businesses will take the time to gather up information, usually from a variety of sources, and then will be unsure of what they should do with that information once they have collected it. We can then take a look at the data life cycle and how we can take that information, clean it off, analyze it, and come up with insights and predictions that help grow our business more than ever before. We will spend this time looking what Python is about, how to download the program on your chosen operating system, and some of the basics that come with coding in Python.

This guidebook went through all of the steps that you need to know in order to get started with data science and some of the basic parts of the Python code. We can then put all of this together in order to create the right analytical algorithm that, once it is trained properly and tested with the right kinds of data, will work to make predictions, provide information, and even show us insights that were never possible before. And all that you need to do to get this information is to use the steps that we outline and discuss in this guidebook.

There is a lot of buzz in the business world, no matter what industry it is, about machine learning, the Python language, and of course, data science, and being able to put these terms together and learn how they work can make a big difference in how well your business will do now and in the future. There are already a ton of companies out there who have been able to gain a competitive edge with data science and the various models and algorithms of Python that go with it, and you can as well.

This book covers:

  • What is Data Science?
  • The Python Coding Language
  • Some of the Basic Coding in Python
  • The Best Python Libraries to Use with Data Science
  • The Basics of Jupyter and Why We Should Use It
  • Working with Anaconda in Python
  • The Basics of the Pandas Library
  • What is WinPython and How Can We Use It?
  • Common Tasks to Do in Info Science
  • Different Data Types to Work With
  • The Future of Data Science and Where It Will Go from Here

There are so many great ways that you can use the data you have been collecting for some time now and being able to complete the process of data visualization will ensure that you get it all done. When you are ready to get started with Python data science, make sure to check out this guidebook to learn how.

There is so much that can come into play when we work with data science, and it is one of the best ways for a business to differentiate from the competition and actually see some results in the process. And the Python language is a great option to learn to help us analyze and create a model that works with the info that we have. When we are ready to learn more about data science, and how to use the Python coding language to go with it, make sure to check out this guidebook to help you get started.


Buy it NOW and let your customers get addicted to this amazing book

Data Science 101: The Ultimate Guide on What you Need to Know to Work with Data Using Python, Tips, and Tricks to Learn Data Analytics,

Автор: Park Andrew
Название: Data Science 101: The Ultimate Guide on What you Need to Know to Work with Data Using Python, Tips, and Tricks to Learn Data Analytics,
ISBN: 1801779619 ISBN-13(EAN): 9781801779616
Издательство: Неизвестно
Рейтинг:
Цена: 4410.00 р.
Наличие на складе: Нет в наличии.

Описание:

★ 55% OFF for Bookstores NOW at $ 31,97 instead of $41.97 LAST DAYS ★



Your Customers Will Never Stop To Use This Amazing Guide


Do you want to know how Data science helps in business?

This book will discuss everything that we need to know when it comes to data science and how to complete the process of data science with Python. There are so many different parts that come together when we work on data science, but if you are able to put it all together, and work to really analyze the information that you have to beat out the competition, you will find that data science with Python can be the right move for you.

We will explore how so many businesses will take the time to gather up information, usually from a variety of sources, and then will be unsure of what they should do with that information once they have collected it. We can then take a look at the data life cycle and how we can take that information, clean it off, analyze it, and come up with insights and predictions that help grow our business more than ever before. We will spend this time looking what Python is about, how to download the program on your chosen operating system, and some of the basics that come with coding in Python.

This guidebook went through all of the steps that you need to know in order to get started with data science and some of the basic parts of the Python code. We can then put all of this together in order to create the right analytical algorithm that, once it is trained properly and tested with the right kinds of data, will work to make predictions, provide information, and even show us insights that were never possible before. And all that you need to do to get this information is to use the steps that we outline and discuss in this guidebook.

There is a lot of buzz in the business world, no matter what industry it is, about machine learning, the Python language, and of course, data science, and being able to put these terms together and learn how they work can make a big difference in how well your business will do now and in the future. There are already a ton of companies out there who have been able to gain a competitive edge with data science and the various models and algorithms of Python that go with it, and you can as well.

This book covers:

  • What is Data Science?
  • The Python Coding Language
  • Some of the Basic Coding in Python
  • The Best Python Libraries to Use with Data Science
  • The Basics of Jupyter and Why We Should Use It
  • Working with Anaconda in Python
  • The Basics of the Pandas Library
  • What is WinPython and How Can We Use It?
  • Common Tasks to Do in Info Science
  • Different Data Types to Work With
  • The Future of Data Science and Where It Will Go from Here

There are so many great ways that you can use the data you have been collecting for some time now and being able to complete the process of data visualization will ensure that you get it all done. When you are ready to get started with Python data science, make sure to check out this guidebook to learn how.

There is so much that can come into play when we work with data science, and it is one of the best ways for a business to differentiate from the competition and actually see some results in the process. And the Python language is a great option to learn to help us analyze and create a model that works with the info that we have. When we are ready to learn more about data science, and how to use the Python coding language to go with it, make sure to check out this guidebook to help you get started.


Buy it NOW and let your customers get addicted to this amazing book

Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - Tha

Автор: Jones Herbert
Название: Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - Tha
ISBN: 1647483077 ISBN-13(EAN): 9781647483074
Издательство: Неизвестно
Рейтинг:
Цена: 4137.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book, Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don`t, presents you with a step-by-step approach to Data Science as well as secrets only known by the best Data Scientists.

Life on Mars: What to Know Before We Go

Автор: Weintraub David a.
Название: Life on Mars: What to Know Before We Go
ISBN: 0691209251 ISBN-13(EAN): 9780691209258
Издательство: Wiley
Рейтинг:
Цена: 2691.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

The search for life on Mars--and the moral issues confronting us as we prepare to send humans there
Does life exist on Mars? The question has captivated humans for centuries, but today it has taken on new urgency. As space agencies gear up to send the first manned missions to the Red Planet, we have a responsibility to think deeply about what kinds of life may already dwell there--and whether we have the right to invite ourselves in. Telling the complete story of our ongoing quest to answer one of the most tantalizing questions in astronomy, David Weintraub grapples with the profound moral and ethical questions confronting us as we prepare to introduce an unpredictable new life form--ourselves--into the Martian biosphere. Now with an afterword that discusses the most recent discoveries, Life on Mars explains what we need to know before we go.

What Do We Know and What Should We Do About Internet Privacy?

Автор: Paul Bernal
Название: What Do We Know and What Should We Do About Internet Privacy?
ISBN: 1529707684 ISBN-13(EAN): 9781529707687
Издательство: Sage Publications
Рейтинг:
Цена: 8078.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Paul Bernal addresses the issue of privacy on the internet and how it is challenged in a wide variety of ways - from large social media companies, whose entire business models are based on privacy invasion, through the developing technologies of facial recognition and the internet of things, to the desire of governments to monitor our every activity online.

97 Things about Ethics Everyone in Data Should Know

Название: 97 Things about Ethics Everyone in Data Should Know
ISBN: 1492072664 ISBN-13(EAN): 9781492072669
Издательство: Wiley
Рейтинг:
Цена: 6334.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Being ethical takes constant diligence, and in many situations identifying the right choice can be difficult. In this in-depth book, contributors from top companies in technology, finance, and other industries share experiences and lessons learned from collecting, managing, and analyzing data ethically.

Data Science From Scratch: The #1 Data Science Guide For Everything A Data Scientist Needs To Know: Python, Linear Algebra, Statistics, Coding, A

Автор: Cooper Steven
Название: Data Science From Scratch: The #1 Data Science Guide For Everything A Data Scientist Needs To Know: Python, Linear Algebra, Statistics, Coding, A
ISBN: 3903331554 ISBN-13(EAN): 9783903331556
Издательство: Неизвестно
Цена: 3723.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

The Power of Data Science

If you are looking to start a new career that is in high demand, then you need to continue reading.

Data scientists are changing the way big data is used in different institutions.

Big data is everywhere, but without the right person to interpret it, it means nothing.

So where do business find these people to help change their business?

You could be that person

It has become a universal truth that businesses are full of data.

With the use of big data, the US healthcare could reduce their health-care spending by $300 billion to $450 billion.

It can easily be seen that the value of big data lies in the analysis and processing of that data, and that's where data science comes in.

Data Science from Scratch includes:

  • In-depth information about what data science is and why it is important.
  • The prerequisites you will need to get started in data science.
  • What it means to be a data scientist.
  • The roles that hacking and coding play in data science.
  • The different coding languages that can be used in data science.
  • Why python is so important.
  • How to use linear algebra and statistics.
  • The different applications for data science.
  • How to work with the data through munging, cleaning, and more.

And much more

The use of data science adds a lot of value to businesses, and we will continue to see the need for data scientists grow.

As businesses and the internet change, so will data science. This means it's important to be flexible.

When data science can reduce spending costs by billions of dollars in the healthcare industry, why wait to jump in?

If you want to get started in a new, ever-growing, career, don't wait any longer and get this book today.


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