A Tour of Data Science: Learn R and Python in Parallel by Nailong Zhang Paperbac

Description: A Tour of Data Science by Nailong Zhang This book covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single and short book. It does not cover everything, but instead, teaches the key concepts and topics. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source. FORMAT Paperback CONDITION Brand New Publisher Description 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. Author Biography Nailong Zhang is lead Data Scientist at Mass Mutual Life Insurance Company. Table of Contents Assumptions about the readers 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 Details ISBN0367895862 Author Nailong Zhang Publisher Taylor & Francis Ltd ISBN-10 0367895862 ISBN-13 9780367895860 Format Paperback Place of Publication London Country of Publication United Kingdom Subtitle Learn R and Python in Parallel Illustrations 4 Tables, black and white; 25 Illustrations, black and white AU Release Date 2020-11-12 NZ Release Date 2020-11-12 Year 2020 Publication Date 2020-11-12 UK Release Date 2020-11-12 Series Chapman & Hall/CRC Data Science Series Alternative 9780367897062 DEWEY 006.312 Audience Professional & Vocational Pages 216 Imprint Chapman & Hall/CRC We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:138330576;

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