A Tour of Data Science - Couverture rigide

Zhang, Nailong

Couverture rigide

ISBN 10 : 0367897067 ISBN 13 : 9780367897062

Editeur : Chapman and Hall/CRC, 2020

Synopsis

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 parallel
• Cover statistics, programming, optimization and predictive modelling, and the popular data manipulation tools – data.table and pandas
• Provides a concise and accessible presentation
• Includes 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.

A propos du livre

À propos de l'auteur

Nailong Zhang is lead Data Scientist at Mass Mutual Life Insurance Company.

À propos de la quatrième de couverture

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.

Détails de l'édition

• Éditeur: Chapman and Hall/CRC
• Date d'édition: 2020
• Langue: anglais
• ISBN 10: 0367897067
• ISBN 13: 9780367897062
• Reliure: Relié
• Nombre de pages: 206
• Coordonnées du fabricant: non disponible
• Personne responsable: GPSR Kontakt; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne