Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets

Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets – Ebook Instant Download/Delivery ISBN(s): 9781119674689,1119674689,9781119674733, 1119674735

Product details:

• ISBN-10 ‏ : ‎ 1119674735
• ISBN-13 ‏ : ‎ 9781119674733
• Author: Maria Cristina Mariani, Osei Kofi Tweneboah , Maria Pia Beccar-Varela

Data Science in Theory and Practice delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various disciplines, like banking, finance, health care, bioinformatics, security, education, and social services. Written in five parts, the book examines some of the most commonly used and fundamental mathematical and statistical concepts that form the basis of data science. The authors go on to analyze various data transformation techniques useful for extracting information from raw data, long memory behavior, and predictive modeling.

Table contents:

1 Background of Data Science

2 Matrix Algebra and Random Vectors

3 Multivariate Analysis

4 Time Series Forecasting

5 Introduction to R

6 Introduction to Python

7 Algorithms

8 Data Preprocessing and Data Validations

9 Data Visualizations

10 Binomial and Trinomial Trees

11 Principal Component Analysis

12 Discriminant and Cluster Analysis

13 Multidimensional Scaling

14 Classification and Tree-Based Methods

15 Association Rules

16 Support Vector Machines

17 Neural Networks

18 Fourier Analysis

19 Wavelets Analysis

20 Stochastic Analysis

21 Fractal Analysis – Lévy, Hurst, DFA, DEA

22 Stochastic Differential Equations

23 Ethics: With Great Power Comes Great Responsibility

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