Book
Math for Data Science
ISBN : 9783031897061
Author : Omar Hijab
Publisher : Springer
Year : 2025
Language : English
Type : Book
Description : Math for Data Science presents the mathematical foundations necessary for studying and working in Data Science. The book is suitable for courses in applied mathematics, business analytics, computer science, data science, and engineering. The text covers the portions of linear algebra, calculus, probability, and statistics prerequisite to Data Science. The highlight of the book is the machine learning chapter, where the results of the previous chapters are applied to neural network training and stochastic gradient descent. Also included in this last chapter are advanced topics such as accelerated gradient descent and logistic regression trainability.
RECOMMENDED BOOKS
Mechanisms and Pathogenesis of Foodborne Pathogens
Ellis Simmons
Selective Publication in the U.S. Courts of Appeals
Rachael K. Hinkle
Fundamentals of International Aviation Law and Policy
Benjamyn I. Scott
Practice Management for the Dental Team
Betty Ladley Finkbeiner
华闻视野 Developing advanced proficiency in chinese through modern issues volume I
ShuPei Wang
Constitutional Law and the Politics of Ethnic Accommodation Institutional Design in Afghanistan
Bashir Mobasher
The Computer Security Workbook: A Course Companion Resource
Juan Tapiador
Mergers And Acquisitions In Islamic And Conventional Banks
Nazim Ullah