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