Practical statistics for data scientists : 50+ essential concepts using R and…

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide-now including examples in Python as well as R-explains how to apply various statistical methods to data science, tells you how to avoid their misuse, …

Introductory mathematical analysis for business, economics, and the life and …

Edition

Fourteenth Edition

ISBN/ISSN

9780134141107

Collation

781 p. ; 29 cm.

Series Title

-

Call Number

515.20 Hae i

Ensemble Methods : Foundations and Algorithms. Second Edition

Ensemble methods that train multiple learners and then combine them to use, with Boosting and Bagging as representatives, are well-known machine learning approaches. It has become common sense that an ensemble is usually significantly more accurate than a single learner, and ensemble methods have already achieved great success in various real-world tasks.

Introductory mathematical analysis for business, economics, and the life and …

This introductory text begins with precalculus and finite maths topics such as equations, functions, matrix algebra, linear programming, mathematics of finance, and probability, and then progresses through single and multivariable calculus.

Introductory mathematical analysis for business, economics, and the life and …

This book is ideal for one- or two-semester or two- or three-quarter courses covering topics in college algebra, finite mathematics, and calculus for students in business, economics, and the life and social sciences. Haeussler, Paul, and Wood establish a strong algebraic foundation that sets this text apart from other applied mathematics texts, paving the way for students to solve real-world pr…

Complex analysis

Edition

-

ISBN/ISSN

9789811592188

Collation

357 p. ; 26 cm.

Series Title

-

Call Number

510.285 Bou c