This work follows the 2021 curriculum of the Association for Computing Machinery for specialists in Data Sciences, with the aim of producing a manual that collects notions in a simplified form, facilitating a personal training path starting from specialized skills in Computer Science or Mathematics or Statistics. It has a bibliography with links to quality material but freely usable for your own training and contextual practical exercises.
The goal is to build a vocabulary of machine learning algorithms, divided by the main learning methods. The text describes and delves into over 110 machine learning algorithms and architectures, reporting their description, technology, limitations, strengths, weaknesses and bibliographical references. An example of use is also given for some of them.
Product details
ASIN : B0DBF5XN9V
Publisher : Independently published (27 July 2024)
Language : English
Paperback : 474 pages
ISBN-13 : 979-8334280472
Dimensions : 18.9 x 2.72 x 24.61 cm
Best Sellers Rank: 1,194,585 in Books (See Top 100 in Books)
570 in Data Mining (Books)