Practical statistics for Data Science specialists
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Statistical methods are a key part of the data science. However, very few data analysts are trained in statistics properly, since there are no books on statistics written specifically for data analysts.
On the other hand, many resources devoted to the science of data contain statistical methods, but do not reveal the prospects for the application of these methods quite deeply.
The proposed book, written in an accessible language, eliminates this gap. If you are a little familiar with the programming language R and mathematical statistics, then easily master the material and significantly increase your professional level
The second edition includes examples in the Python language, which expands the practical application of the book.
Having read this book, you will learn:
Why reconnaissance analysis of data is a key preliminary step in the science of data
How can a random sample reduce the displacement and lead to a higher -quality data set, even In conditions of large data
as the principles of experimenting, help get the most complete answers to questions
how to use regression to evaluate the results and identify anomalies
You will master:
Key classification methods To predict what category is the recording
statistical methods of machine learning that are "studies" on data
methods of learning without a teacher to extract information from non-3rd data
2nd edition, processed and supplemented
On the other hand, many resources devoted to the science of data contain statistical methods, but do not reveal the prospects for the application of these methods quite deeply.
The proposed book, written in an accessible language, eliminates this gap. If you are a little familiar with the programming language R and mathematical statistics, then easily master the material and significantly increase your professional level
The second edition includes examples in the Python language, which expands the practical application of the book.
Having read this book, you will learn:
Why reconnaissance analysis of data is a key preliminary step in the science of data
How can a random sample reduce the displacement and lead to a higher -quality data set, even In conditions of large data
as the principles of experimenting, help get the most complete answers to questions
how to use regression to evaluate the results and identify anomalies
You will master:
Key classification methods To predict what category is the recording
statistical methods of machine learning that are "studies" on data
methods of learning without a teacher to extract information from non-3rd data
2nd edition, processed and supplemented
Author:
Author:Bruce Peter
Cover:
Cover:Soft
Category:
- Category:Computer & Technology
ISBN:
ISBN:978-5-9775-6705-3
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