Learn IT - Books tags statistics

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Apress, 2018

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute...

Applied Data Visualization with R and ggplot2: Create useful, elaborate, and visually appealing plots

Packt Publishing, 2018

Develop informative and aesthetic visualizations that enable effective data analysis in less time

Key Features

Discover structure of ggplot2, grammar of graphics, and geometric objects

Study how to design and implement visualization from scratch

Explore...

Machine Learning for Finance: Principles and practice for financial insiders

Packt Publishing, 2019

A guide to advances in machine learning for financial professionals, with working Python code

Key Features

Explore advances in machine learning and how to put them to work in financial industries

Clear explanation and expert discussion of how machine learning works, with...

Deep Learning By Example: A hands-on guide to implementing advanced machine learning algorithms and neural networks

Packt Publishing, 2018

Grasp the fundamental concepts of deep learning using Tensorflow in a hands-on manner

Key Features

Get a first-hand experience of the deep learning concepts and techniques with this easy-to-follow guide

Train different types of neural networks using Tensorflow for...

Become a Python Data Analyst: Perform exploratory data analysis and gain insight into scientific computing using Python

Packt Publishing, 2018

Enhance your data analysis and predictive modeling skills using popular Python tools

Key Features

Cover all fundamental libraries for operation and manipulation of Python for data analysis

Implement real-world datasets to perform predictive analytics with Python

...

Hands-On Data Science with Anaconda: Utilize the right mix of tools to create high-performance data science applications

Packt Publishing, 2018

Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda

Key Features

Use Anaconda to find solutions for clustering, classification, and linear regression

Analyze your data efficiently with the most powerful data...

Python Data Science Essentials: A practitioner's guide covering essential data science principles, tools, and techniques, 3rd Edition

Packt Publishing, 2018

Gain useful insights from your data using popular data science tools

Key Features

A one-stop guide to Python libraries such as pandas and NumPy

Comprehensive coverage of data science operations such as data cleaning and data manipulation

Choose scalable...

Computational Probability: Algorithms and Applications in the Mathematical Sciences (International Series in Operations Research & Management Science)

Springer, 2007

This title organizes computational probability methods into a systematic treatment. The book examines two categories of problems. "Algorithms for Continuous Random Variables" covers data structures and algorithms, transformations of random variables, and products of independent random variables. "Algorithms for...

Biostatistics with R: An Introduction to Statistics Through Biological Data (Use R!)

Springer, 2011

Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language.

...

The Basics of S-PLUS (Statistics and Computing)

Springer, 2005

Proven bestseller: almost 6000 copies sold in the U.S. in two editions

New edition updated to cover S-PLUS 6.0

Can be used as an introduction to R, as well as S-PLUS

New exercises have been added; Includes a comparison of S-PLUS and R

Well-suited for self-study

...

Statistical Tools for Nonlinear Regression: A Practical Guide With S-PLUS and R Examples (Springer Series in Statistics)

Springer, 2003

Statistical Tools for Nonlinear Regression presents methods for analyzing data. It has been expanded to include binomial, multinomial and Poisson non-linear models. The examples are analyzed with the free software nls2 updated to deal with the new models included in the second edition. The nls2 package is implemented in S-PLUS and R....

Mastering PostgreSQL 10: Expert techniques on PostgreSQL 10 development and administration

Packt Publishing, 2018

Master the capabilities of PostgreSQL 10 to efficiently manage and maintain your database

Key Features

Your one-stop guide to mastering advanced concepts in PostgreSQL 10 with ease

Master query optimization, replication, and high availability with PostgreSQL

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