Автор: David Stuart Название: Practical Data Science for Information Professionals ISBN: 1783303441 ISBN-13(EAN): 9781783303441 Издательство: Facet Рейтинг: Цена: 7392.00 р. 10560.00-30% Наличие на складе: Есть (1 шт.) Описание:
Practical Data Science for Information Professionals provides an accessible introduction to a potentially complex field, providing readers with an overview of data science and a framework for its application. It provides detailed examples and analysis on real data sets to explore the basics of the subject in three principle areas: clustering and social network analysis; predictions and forecasts; and text analysis and mining.
As well as highlighting a wealth of user-friendly data science tools, the book also includes some example code in two of the most popular programming languages (R and Python) to demonstrate the ease with which the information professional can move beyond the graphical user interface and achieve significant analysis with just a few lines of code.
After reading, readers will understand:
· the growing importance of data science
· the role of the information professional in data science
· some of the most important tools and methods that information professionals can use.
Bringing together the growing importance of data science and the increasing role of information professionals in the management and use of data, Practical Data Science for Information Professionals will provide a practical introduction to the topic specifically designed for the information community. It will appeal to librarians and information professionals all around the world, from large academic libraries to small research libraries. By focusing on the application of open source software, it aims to reduce barriers for readers to use the lessons learned within.
Автор: Edmond Jennifer, Mandal Anthony, Horsley Nicola Название: The Trouble with Big Data: How Datafication Displaces Cultural Practices ISBN: 1350239623 ISBN-13(EAN): 9781350239623 Издательство: Bloomsbury Academic Рейтинг: Цена: 27588.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This open access book explores the challenges society faces with big data, through the lens of culture rather than social, political or economic trends, as demonstrated in the words we use, the values that underpin our interactions, and the biases and assumptions that drive us. Focusing on areas such as data and language, data and sensemaking, data and power, data and invisibility, and big data aggregation, it demonstrates that humanities research, focussing on cultural rather than social, political or economic frames of reference for viewing technology, resists mass datafication for a reason, and that those very reasons can be instructive for the critical observation of big data research and innovation.
The eBook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Open access was funded by Trinity College Dublin, DARIAH-EU and the European Commission.
Автор: Wang Dashun, Barabбsi Albert-Lбszlу Название: The Science of Science ISBN: 1108492665 ISBN-13(EAN): 9781108492669 Издательство: Cambridge Academ Рейтинг: Цена: 19737.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first comprehensive overview of the exciting field of the `science of science`. With anecdotes and detailed, easy-to-follow explanations of the research, this book is accessible to all scientists, policy makers, and administrators with an interest in the wider scientific enterprise.
Автор: Gupta Rajesh Название: Hands-On Data Analysis with Scala ISBN: 1789346118 ISBN-13(EAN): 9781789346114 Издательство: Неизвестно Рейтинг: Цена: 9010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book will help you perform effective data analysis with Scala using practical examples. You will come across different challenges and their effective solutions for a variety of data processing tasks - be it data exploration, data manipulation, or real-time data analysis using Apache Spark.
Автор: Persson Magnus Vilhelm, Martins Luiz Felipe Название: Mastering Python Data Analysis ISBN: 1783553294 ISBN-13(EAN): 9781783553297 Издательство: Неизвестно Рейтинг: Цена: 10114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: McCoy Scott Название: Murach`s Python for Data Analysis ISBN: 1943872767 ISBN-13(EAN): 9781943872763 Издательство: Gazelle Book Services Рейтинг: Цена: 10259.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data is collected everywhere these days, in massive quantities. But data alone does not do you much good. That is why data analysis -- making sense of the data -- has become a must-have skill in the fields of business, science, and social science. But it is a tough skill to acquire. The concepts are challenging, and too many books and online tutorials treat only parts of the total skillset needed. Now, though, this book draws all the essential skills together and presents them in a clear and example-packed way. So you will soon be applying your programming skills to complex data analysis problems, more easily than you ever thought possible. In terms of content, this book gets you started the right way by using Pandas for data analysis and Seaborn for data visualisation, with JupyterLab as your IDE. Then, it helps you master descriptive analysis by teaching you how to get, clean, prepare, and analyse data, including time-series data. Next, it gets you started with predictive analysis by showing you how to use linear regression models to predict unknown and future values. And to tie everything together, it gives you 4 real-world case studies that show you how to apply your new skills to political, environmental, social, and sports analysis. At the end, you will have a solid set of the professional skills that can lead to all sorts of new career opportunities. Sound too good to be true? Download a sample chapter for free from the Murach website and see for yourself how this book can turn you into the data analyst that companies are looking for.
Автор: Brooker, Darcy Название: Practical reliability data analysis for ISBN: 1630818275 ISBN-13(EAN): 9781630818272 Издательство: Artech House Рейтинг: Цена: 17371.00 р. Наличие на складе: Нет в наличии.
Описание: Practical Reliability Data Analysis for Non-Reliability Engineers.
Описание: Explore recipes to get hands-on with the R statistical programming language`s tools to analyze data and create high-level graphics. This Learning Path covers interesting projects focused on analysis, visualization, and machine learning to help you generate professional analysis reports and get to grips with performing data visualization with R.
Автор: Ivanochko Tara Название: Think, Do, and Communicate Environmental Science ISBN: 1108423450 ISBN-13(EAN): 9781108423458 Издательство: Cambridge University Press Рейтинг: Цена: 15438.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A practical introduction to setting up and conducting environmental research projects, with advice on how to effectively read scientific papers, develop research questions, analyze data, and write persuasive research proposals. Using real data and examples, this is an essential guide for undergraduate and graduate students in environmental science.
Автор: Ivanochko, Tara (university Of British Columbia, Vancouver) Название: Think, do, and communicate environmental science ISBN: 1108437575 ISBN-13(EAN): 9781108437578 Издательство: Cambridge Academ Рейтинг: Цена: 4750.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A practical introduction to setting up and conducting environmental research projects, with advice on how to effectively read scientific papers, develop research questions, analyze data, and write persuasive research proposals. Using real data and examples, this is an essential guide for undergraduate and graduate students in environmental science.
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Are you interested in knowing more about the fascinating world of Data Science? Your Customers Will Love This Amazing Step-By-Step Guide
This book offers you the fundamental knowledge you need to get started, but keep in mind that no book or even teacher can do everything for you. You need to work hard by putting each building block in its place as you advance.
Data Science is a massive field of study that requires years of learning and practice before you can master it. This shouldn't discourage you, however Embrace it as a challenge that you can undertake in order to broaden your horizons and improve your knowledge of all that is Data Science and machine learning.
Data Science is a highly complex topic that has continuously been developed for decades. It is constantly evolving, and it can be challenging to keep up with all the past, present, and future concepts. With that being said, this isn't supposed to discourage you from pursuing this field.
To start out this guidebook, we are going to take a look at what Data Science is all about, why it is important, and why we would want to work with this process in the first place as well. We will then take some time in order to learn the lifecycle of Data Science, and how we need to go through a series of steps like the finding the right data, preparing the data, coming up with the right model, and more. All of this and more will be discussed in this guidebook so that you can go from start to finish with your own Data Science project.
This is just the start of some of the amazing things that we are able to do when it is time to start on Data Science. We are able to spend our time looking at what machine learning is all about, the different types of machine learning, and how we are able to put it all together to makes sure that we can create the right algorithms and models when it is time to sort through our data and find the right patterns and insights in the process.
In "The Essential Guide on Data Science" you will discover:
What is Data Science?
Why is Data Science So Important?
The Benefits of Python Data Science
The Lifecycle of Data Science
The Importance of Visuals with Data Science
A Look at Data Mining
The Real-Life Applications of Data Science
There are a lot of benefits that we are able to see when it comes to working on Data Science, and many companies in a lot of different industries are going to work with this in order to ensure that we will be able to handle how to work with their customers, how to beat out the competition, and so much more. When you are ready to work with the idea of Data Science, and you want to work with all of the different parts that are found with it, then make sure to check out this guidebook to help you get started.
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Are you interested in knowing more about the fascinating world of Data Science? Your Customers Will Love This Amazing Step-By-Step Guide
This book offers you the fundamental knowledge you need to get started, but keep in mind that no book or even teacher can do everything for you. You need to work hard by putting each building block in its place as you advance.
Data Science is a massive field of study that requires years of learning and practice before you can master it. This shouldn't discourage you, however Embrace it as a challenge that you can undertake in order to broaden your horizons and improve your knowledge of all that is Data Science and machine learning.
Data Science is a highly complex topic that has continuously been developed for decades. It is constantly evolving, and it can be challenging to keep up with all the past, present, and future concepts. With that being said, this isn't supposed to discourage you from pursuing this field.
To start out this guidebook, we are going to take a look at what Data Science is all about, why it is important, and why we would want to work with this process in the first place as well. We will then take some time in order to learn the lifecycle of Data Science, and how we need to go through a series of steps like the finding the right data, preparing the data, coming up with the right model, and more. All of this and more will be discussed in this guidebook so that you can go from start to finish with your own Data Science project.
This is just the start of some of the amazing things that we are able to do when it is time to start on Data Science. We are able to spend our time looking at what machine learning is all about, the different types of machine learning, and how we are able to put it all together to makes sure that we can create the right algorithms and models when it is time to sort through our data and find the right patterns and insights in the process.
In "The Essential Guide on Data Science" you will discover:
What is Data Science?
Why is Data Science So Important?
The Benefits of Python Data Science
The Lifecycle of Data Science
The Importance of Visuals with Data Science
A Look at Data Mining
The Real-Life Applications of Data Science
There are a lot of benefits that we are able to see when it comes to working on Data Science, and many companies in a lot of different industries are going to work with this in order to ensure that we will be able to handle how to work with their customers, how to beat out the competition, and so much more. When you are ready to work with the idea of Data Science, and you want to work with all of the different parts that are found with it, then make sure to check out this guidebook to help you get started.
You can position yourself to use your deep knowledge and understanding of all the cutting-edge technologies obtained from this book to contribute to the growth of any company and land yourself a new high paying and rewarding job
Buy It NOW and Let Your Customers Get Addicted to This Amazing Book
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