Tour of Data Science

Learn R and Python in Parallel

Häftad, Engelska, 2020

AvNailong Zhang

929 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Finns i fler format (1)

Inbunden

2 509 kr

Skickas inom 10-15 vardagar

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source.Key features:Allows you to learn R and Python in parallelCover statistics, programming, optimization and predictive modelling, and the popular data manipulation tools – data.table and pandasProvides a concise and accessible presentationIncludes machine learning algorithms implemented from scratch, linear regression, lasso, ridge, logistic regression, gradient boosting trees, etc.Appealing to data scientists, statisticians, quantitative analysts, and others who want to learn programming with R and Python from a data science perspective.

Produktinformation

Utgivningsdatum2020-11-12
Mått178 x 254 x 12 mm
Vikt386 g
FormatHäftad
SpråkEngelska
SerieChapman & Hall/CRC Data Science Series
Antal sidor216
FörlagTaylor & Francis Ltd
ISBN9780367895860

Tillhör följande kategorier

Matematisk statistik inom Naturvetenskap och teknik
Programspråk inom Data och it
Elektronik och kommunikationer inom Naturvetenskap och teknik
Affärsapplikationer inom Data och it
Databaser inom Data och it

Assumptions about the reader’s backgroundBook overview Introduction to R/Python Programming Calculator Variable and TypeFunctions Control flowsSome built-in data structures Revisit of variables Object-oriented programming (OOP) in R/Python Miscellaneous More on R/Python Programming Work with R/Python scripts Debugging in R/Python Benchmarking Vectorization Embarrassingly parallelism in R/Python Evaluation strategySpeed up with C/C++ in R/PythonA first impression of functional programming Miscellaneous data.table and pandasSQL Get started with data.table and pandas Indexing & selecting data Add/Remove/UpdateGroup by Join Random Variables, Distributions & Linear Regression A refresher on distributions Inversion sampling & rejection sampling Joint distribution & copula Fit a distribution Confidence intervalHypothesis testing Basics of linear regression Ridge regression Optimization in PracticeConvexity Gradient descent Root-finding General purpose minimization tools in R/Python Linear programming Miscellaneous Machine Learning - A gentle introduction Supervised learning Gradient boosting machine Unsupervised learning Reinforcement learning Deep Q-Networks Computational differentiation Miscellaneous

Mer från samma serie

Explanatory Model Analysis

Przemyslaw Biecek, Tomasz Burzykowski, Belgium) Burzykowski, Tomasz (Hasselt University

Inbunden

2 419 kr

Probability and Statistics for Data Science

Norman Matloff

Inbunden

3 029 kr

Cybersecurity Analytics

Rakesh M. Verma, David J. Marchette, USA) Verma, Rakesh M. (University of Houston, Texas, USA) Marchette, David J. (Naval Surface Warfare Center, Dahlgren, Virginia

Inbunden

2 249 kr