image top
Giỏ hàng Giỏ hàng 0
Không có sản phẩm trong giỏ hàng.
Email cho bạn bè

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

205,000₫
  • ✪ Miễn phí GIAO HÀNG đơn hàng từ 399.000đ
  • ✪ Giao hàng COD toàn quốc nhanh chóng từ 2 - 4 ngày
  • ✪ Giao hàng HOẢ TỐC trong nội thành Hà Nội
  • ✪ Hỗ trợ xuất hóa đơn VAT theo yêu cầu

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

Sách keo gáy, bìa mềm
 
DATA SCIENCE IN THEORY AND PRACTICE
 
EXPLORE THE FOUNDATIONS OF DATA SCIENCE WITH THIS INSIGHTFUL NEW RESOURCE
 
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.
 
The book offers readers a multitude of topics all
relevant to the analysis of complex data sets. Along with a robust
exploration of the theory underpinning data science, it contains
numerous applications to specific and practical problems. The book also
provides examples of code algorithms in R and Python and provides
pseudo-algorithms to port the code to any other language.
 
Ideal for students and practitioners without a strong background in data science, readers will also learn from topics like:
 
Analyses
of foundational theoretical subjects, including the history of data
science, matrix algebra and random vectors, and multivariate analysis
A
comprehensive examination of time series forecasting, including the
different components of time series and transformations to achieve
stationarity
Introductions to both the R and Python programming
languages, including basic data types and sample manipulations for both
languages
An exploration of algorithms, including how to write one and how to perform an asymptotic analysis
A comprehensive discussion of several techniques for analyzing and predicting complex data sets
Perfect for advanced undergraduate and graduate students in Data Science, Business Analytics, and Statistics programs, Data Science in Theory and Practice will also earn a p
 
 
Thể loại:Computers - Organization and Data Processing
 
Năm:2021
 
In lần thứ:1
 
Ngôn ngữ:english
 
Trang:400