How Long to Read Core Data Analysis: Summarization, Correlation, and Visualization

How Long Does it Take to Read Core Data Analysis: Summarization, Correlation, and Visualization?

It takes the average reader 8 hours and 52 minutes to read Core Data Analysis: Summarization, Correlation, and Visualization by Boris Mirkin

Assuming a reading speed of 250 words per minute. Learn more

Description

This text examines the goals of data analysis with respect to enhancing knowledge, and identifies data summarization and correlation analysis as the core issues. Data summarization, both quantitative and categorical, is treated within the encoder-decoder paradigm bringing forward a number of mathematically supported insights into the methods and relations between them. Two Chapters describe methods for categorical summarization: partitioning, divisive clustering and separate cluster finding and another explain the methods for quantitative summarization, Principal Component Analysis and PageRank. Features: · An in-depth presentation of K-means partitioning including a corresponding Pythagorean decomposition of the data scatter. · Advice regarding such issues as clustering of categorical and mixed scale data, similarity and network data, interpretation aids, anomalous clusters, the number of clusters, etc. · Thorough attention to data-driven modelling including a number of mathematically stated relations between statistical and geometrical concepts including those between goodness-of-fit criteria for decision trees and data standardization, similarity and consensus clustering, modularity clustering and uniform partitioning. New edition highlights: · Inclusion of ranking issues such as Google PageRank, linear stratification and tied rankings median, consensus clustering, semi-average clustering, one-cluster clustering · Restructured to make the logics more straightforward and sections self-contained Core Data Analysis: Summarization, Correlation and Visualization is aimed at those who are eager to participate in developing the field as well as appealing to novices and practitioners.

How long is Core Data Analysis: Summarization, Correlation, and Visualization?

Core Data Analysis: Summarization, Correlation, and Visualization by Boris Mirkin is 524 pages long, and a total of 133,096 words.

This makes it 177% the length of the average book. It also has 163% more words than the average book.

How Long Does it Take to Read Core Data Analysis: Summarization, Correlation, and Visualization Aloud?

The average oral reading speed is 183 words per minute. This means it takes 12 hours and 7 minutes to read Core Data Analysis: Summarization, Correlation, and Visualization aloud.

What Reading Level is Core Data Analysis: Summarization, Correlation, and Visualization?

Core Data Analysis: Summarization, Correlation, and Visualization is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Core Data Analysis: Summarization, Correlation, and Visualization?

Core Data Analysis: Summarization, Correlation, and Visualization by Boris Mirkin is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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