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Methods for Data Science: I - Introductory Applied Mathematics By James Godfrey
Paperback: $31.48
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This reference book is intended for data scientists and presents introductory applied mathematics appropriate for understanding methodologies used in a variety of disciplines. The presentation... More > includes vector and matrix algebra, differential and integral calculus, complex variables, vector calculus, transforms, and ordinary and partial differential equations.< Less
Methods for Data Science: II - Problems and Solutions for Volume I By James Godfrey
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This reference contains problems and solutions in introductory applied mathematics for the following areas: vector and matrix algebra, differential and integral calculus, transforms, and ordinary and... More > partial differential equations. The focus is on understanding material for solving problems related to the following disciplines: statistics, engineering and the natural sciences, advanced software development, economics and finance, climate analysis, and other data-driven areas.< Less
Methods for Data Science: III - Data Visualization and R By James Godfrey
Paperback: $27.51
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This reference provides topical discussions of data visualization and R programming techniques. The approach is to introduce R language syntax and provide hands-on examples of R programming using... More > topics of interest to data scientists. The emphasis is on using the R function architecture to employ structured programming techniques. The focus is on illustrating programming examples within the context of this hands-on approach.< Less