40 Algorithms Every Data Scientist Should Know. [elektronicky zdroj]

Autor: Weichenberger, Jürgen
Další autoři:
Jazyk: angličtina
Informace o vydání: Delhi : BPB Publications, 2024.
Předmět:
Vydání: 1st ed.
Druh dokumentu: Online; Non-fiction; Electronic document
Abstrakt: Summary: Mastering AI and ML algorithms is essential for data scientists. This book covers a wide range of techniques, from supervised and unsupervised learning to deep learning and reinforcement learning. This book is a compass to the most important algorithms that every data scientist should have at their disposal when building a new AI/ML application.
Databáze: Vybrané kolekce e-knih