linear algebra for data science in python

Big Data in Medical Science and Healthcare Management - by Peter Langkafel (Hardcover)

Elenco: Smartivity Mulitiplication Machine STEM Kit

Extending Excel with Python and R - by Steven Sanderson & David Kun (Paperback)

Extending Power BI with Python and R - Second Edition - 2nd Edition by Luca Zavarella (Paperback)

Introduction to Transfer Learning - (Machine Learning: Foundations, Methodologies, and Applications) by Jindong Wang & Yiqiang Chen (Paperback)

Getting Started with DuckDB - by Simon Aubury & Ned Letcher (Paperback)

Numerical Methods with Python - (De Gruyter Textbook) by William Miles (Paperback)

Python Deep Learning - Third Edition - 3rd Edition by Ivan Vasilev (Paperback)

Data Analytics & Visualization All-In-One for Dummies - (Paperback)

97 Things Every Data Engineer Should Know - by Tobias Macey (Paperback)

Applications of Deep Learning in Electromagnetics - (Electromagnetic Waves) by Maokun Li & Marco Salucci (Hardcover)

Graph Theory in Power Converters - by Yuzhuo Li & Yunwei Ryan Li (Hardcover)

Decision Analytics - by Brian T Denton (Hardcover)

Murach's Python for Data Analysis - by Scott McCoy (Paperback)

Scientific Programming and Data Visualization in Mathematical Modeling - (De Gruyter Textbook) by Mamta Kapoor & Geeta Arora (Paperback)

Analyzing Categorical Data - (Springer Texts in Statistics) by Jeffrey S Simonoff (Hardcover)

Database and Expert Systems Applications - by Abdelkader Hameurlain & Stephen W Liddle & Klaus-Dieter Schewe & Xiaofang Zhou (Paperback)

Machine Learning for Financial Risk Management with Python - by Abdullah Karasan (Paperback)

Data Engineering Best Practices - by Richard J Schiller & David Larochelle (Paperback)

Data Pipelines with Apache Airflow, Second Edition - by Julian de Ruiter & Ismael Cabral & Kris Geusebroek & Daniel Van Der Ende & Bas Harenslak

An Introduction to Statistical Learning - (Springer Texts in Statistics)