Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 19 990 Ft

DPD courier 1 190 Ft Post 1 795 Ft Post 1 690 Ft Post 1 690 Ft GLS point 1 390 Ft FoxPost 1 190 Ft Packeta point 1 190 Ft DPD point 990 Ft GLS courier 1 790 Ft

Contact

How to shop

Help

My account

▸ Empty :-(

Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Math for Data Science

Name: Math for Data Science
Brand: Springer, Berlin
SKU: 48207290
Price: 29163 HUF
Availability: InStock
Author: Omar Hijab
ISBN: 9783031897061

Omar Hijab

Language

English

Book Hardback

Libristo code: 48207290

Publishers Springer, Berlin, November 2024

Math for Data Science presents the mathematical foundations necessary for studying and working in Da... Full description

Libristo code: 48207290

199 b

29 163 Ft

In stock at our supplier Shipping in 10-13 days

30-day return policy

Customers also purchased

Popisovač STABILO point liner 88 sada 6 ks neon

Stationery items

2 197 Ft

Cupido Jilliane Hoffman

Paperback

5 694 Ft

Tokyo Ghoul Sui Ishida

Paperback

2 123 Ft

Drachenreiter 1 Cornelia Funke

Hardback

6 599 Ft

Harry Potter a Fénixův řád Joanne Rowling

Hardback

7 711 Ft

Mechaniczna pomarańcza Anthony Burgess

Paperback

1 435 Ft

Naklejki ozdobne Kotki Suatelier

Stationery items

1 158 Ft

Puzzle 500 el. Round Secret Garden 1. Book

binding.

4 448 Ft

Vagrant Story Lopez

Book

10 945 Ft

Coloriages Mystères Disney Portraits Christophe-Alexis Perez

Paperback

7 743 Ft

Katalog der Auszeichnungen und Abzeichen der DDR. Bd.2 Frank Bartel

Hardback

6 571 Ft

Bloom into you - Tome 1 Nio Nakatani

Paperback

4 070 Ft

Bibliophile Princess T01

Paperback

3 876 Ft

Dívka, která utekla z Osvětimi Ellie Midwood

Hardback

4 536 Ft

Ubongo extrem - Mitbringspiel

Game

2 810 Ft

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.

Clear examples are supported with detailed figures and Python code; Jupyter notebooks and supporting files are available on the author's website. More than 380 exercises and nine detailed appendices covering background elementary material are provided to aid understanding. The book begins at a gentle pace, by focusing on two-dimensional datasets. As the text progresses, foundational topics are expanded upon, leading to deeper results at a more advanced level.