This book provides a comprehensive introduction to the foundational concepts of machine learning (ML) and deep learning (DL). It bridges the gap between theoretical mathematics and practical application, focusing on Python as the primary programming language for implementing key algorithms and data structures. The book covers a wide range of topics, including basic and advanced Python programming, fundamental mathematical operations, matrix operations, linear algebra, and optimization techniques crucial for training ML and DL models.
Questo libro fornisce un'introduzione completa ai concetti fondamentali di machine learning (ML) e deep learning (DL). Colma il divario tra matematica teorica e applicazione pratica, concentrandosi su Python come linguaggio di programmazione principale per l'implementazione di algoritmi e strutture dati chiave.
Deep Learning and Machine Learning -- Python Data Structures and Mathematics Fundamental: From Theory to Practice
Abstract page for arXiv paper 2410.19849: Deep Learning and Machine Learning -- Python Data Structures and Mathematics Fundamental: From Theory to Practice
arXiv.org (arxiv.org)
