Making Sense of Data I - A Practical Guide to Exploratory Data Analysis and Data Mining 2e, Myatt
Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Автор: Bradley Efron , Trevor Hastie Название: Computer Age Statistical Inference, Student Edition ISBN: 1108823416 ISBN-13(EAN): 9781108823418 Издательство: Cambridge Academ Рейтинг: Цена: 5069.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computing power has revolutionized the theory and practice of statistical inference. Now in paperback, and fortified with 130 class-tested exercises, this book explains modern statistical thinking from classical theories to state-of-the-art prediction algorithms. Anyone who applies statistical methods to data will value this landmark text.
Описание: This book provides a general end-to-end discussion concerning the process of translating raw data to scientific and business decisions. The reader`s ability to find patterns in data will be greatly enhanced due to the book`s combination of statistical learning with powerful visualization techniques.
Автор: Marc Potters, Jean-Philippe Bouchaud Название: A First Course in Random Matrix Theory ISBN: 1108488080 ISBN-13(EAN): 9781108488082 Издательство: Cambridge Academ Рейтинг: Цена: 9186.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Classical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random matrix theory and free calculus introduced here present valuable solutions to the complex challenges posed by large datasets. Real world applications make it an essential tool for physicists, engineers, data analysts and economists.
Описание: Data science has a huge impact on how companies conduct business, and those who don`t learn about this revolutionaryfield could be left behind. You see, data science will help you make better decisions, know what products and services to release, and how to provide better service to your customers.
Описание: If you want to learn more about Data Science or how to master it with the Python Programming Language Step-by-Step, then keep reading.
Data Science is one of the biggest buzzwords in the business world nowadays. Many businesses know the importance of collecting information, but as they can collect so much data in a short period, the real question is: "what is the next step?"
Data Science includes all the different steps that you take with the data: collecting and cleaning them if they come from more than one source, analyzing them, applying Machine Learning algorithms and models, and then presenting your findings from the analysis with some good Data Visualizations.
You will learn about the main steps that are needed to correctly implement Data Science techniques and the algorithms to help you sort through the data and see some amazing results. Some of the topics that we will discuss inside include
-A thorough and simple explanation of data science and the way it works
-Basics of data science and fundamental skills you need to get started
-A blueprint for the most used frameworks for Python data science
-How to process and understand the data and design your own projects
-What data science is all about and why so many companies are using it to give them a competitive edge.
-Why Python and how to use it to implement Data Science
-What is the intersection between Machine Learning and Data Science and how to combine them
-Functions and Modules in Python
-Data Aggregation and Group Operations
-Interaction with databases and data in the cloud
-And Much More
Even if you have never implemented Data Science techniques, learning them is easier than it looks. You just need the right guidance. And Python Data Science provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn, the techniques to manipulate and process datasets, the principles of Python programming, and its most important real-world applications.
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Do you want to learn Python Programming well and fast?Are you looking for the best Python for Data Analysis and Analytics course?Do want to learn Python Machine Learning and start implementing models?
This is the most complete Python guide with 6 Manuscripts in 1 book:
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In Manuscripts 1 and 2 "Python For Beginners" and "Advanced Python Programming" you'll learn:
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In Manuscript 3 "Python for Data Analysis & Analytics" you'll learn:
What Data Analysis is and why it is important
How to set up the Python environment for Data Analysis
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In Manuscript 4 "Python for Data Science" you'll learn:
What is Data Science and what does it encompass
How to set up the Python environment for Data Science
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In Manuscript 5 "Python Machine Learning" you'll learn
What is Machine Learning and what does it encompass
What are the 7 Steps of the Machine Learning Process
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In Manuscript 6 "SQL" you'll learn
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Автор: Ivezic?, Z?eljko, Название: Statistics, data mining, and machine learning in astronomy : ISBN: 0691198306 ISBN-13(EAN): 9780691198309 Издательство: Wiley Рейтинг: Цена: 12355.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the Large Synoptic Survey Telescope. Now fully updated, it presents a wealth of practical analysis problems, evaluates the techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. Python code and sample data sets are provided for all applications described in the book. The supporting data sets have been carefully selected from contemporary astronomical surveys and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, engage with the different methods, and adapt them to their own fields of interest.
An accessible textbook for students and an indispensable reference for researchers, this updated edition features new sections on deep learning methods, hierarchical Bayes modeling, and approximate Bayesian computation. The chapters have been revised throughout and the astroML code has been brought completely up to date.
Fully revised and expanded
Describes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data sets
Features real-world data sets from astronomical surveys
Uses a freely available Python codebase throughout
Ideal for graduate students, advanced undergraduates, and working astronomers
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Do you want to learn Python Programming well and fast?Are you looking for the best Python for Data Analysis and Analytics course?Do want to learn Python Machine Learning and start implementing models?
This is the most complete Python guide with 6 Manuscripts in 1 book:
Your Customers will never stop to use this book.
In Manuscripts 1 and 2 "Python For Beginners" and "Advanced Python Programming" you'll learn:
How to work with numbers in Python
How to implement Program Flow Controls
And much more...
In Manuscript 3 "Python for Data Analysis & Analytics" you'll learn:
What Data Analysis is and why it is important
How to set up the Python environment for Data Analysis
And much more...
In Manuscript 4 "Python for Data Science" you'll learn:
What is Data Science and what does it encompass
How to set up the Python environment for Data Science
And much more...
In Manuscript 5 "Python Machine Learning" you'll learn
What is Machine Learning and what does it encompass
What are the 7 Steps of the Machine Learning Process
And much more...
In Manuscript 6 "SQL" you'll learn
Creating an SQL view
How to setup & create a database
And more..
Buy it NOW and let your customers get addicted to this amazing book
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