AI vs ML
2025-01 · Publifye AS
El. knyga
127
Puslapiai
family_home
Tinkama
info
reportĮvertinimai ir apžvalgos nepatvirtinti. Sužinokite daugiau
Apie šią el. knygą
'AI vs ML' provides a comprehensive exploration of the often-misunderstood distinction between artificial intelligence and machine learning, offering clarity through historical context, practical applications, and technical frameworks.
The book traces the parallel evolution of these technologies from the 1950s Dartmouth Conference to their current state, demonstrating how ML developed as a specialized subset of AI focused on data-driven learning systems, while AI encompasses broader attempts to simulate human intelligence.
Through three well-structured sections, the book examines fundamental concepts like neural networks and deep learning, before diving into real-world applications across industries such as healthcare and finance. What sets this work apart is its practical framework for decision-makers, helping them evaluate whether their specific technical challenges require AI, ML, or a combination of both.
The book supports its analysis with academic research and industry case studies, providing quantitative metrics on performance and economic impact. The content progresses logically from theoretical foundations to practical implementation strategies, incorporating decision trees and evaluation matrices for technology selection.
Written in an accessible yet technical style, it serves both as an educational resource and a decision-making guide for technology managers and business strategists. The book maintains objectivity throughout, addressing key debates about AI safety and ML bias while avoiding speculative predictions about future capabilities, making it particularly valuable for professionals involved in digital transformation initiatives.
The book traces the parallel evolution of these technologies from the 1950s Dartmouth Conference to their current state, demonstrating how ML developed as a specialized subset of AI focused on data-driven learning systems, while AI encompasses broader attempts to simulate human intelligence.
Through three well-structured sections, the book examines fundamental concepts like neural networks and deep learning, before diving into real-world applications across industries such as healthcare and finance. What sets this work apart is its practical framework for decision-makers, helping them evaluate whether their specific technical challenges require AI, ML, or a combination of both.
The book supports its analysis with academic research and industry case studies, providing quantitative metrics on performance and economic impact. The content progresses logically from theoretical foundations to practical implementation strategies, incorporating decision trees and evaluation matrices for technology selection.
Written in an accessible yet technical style, it serves both as an educational resource and a decision-making guide for technology managers and business strategists. The book maintains objectivity throughout, addressing key debates about AI safety and ML bias while avoiding speculative predictions about future capabilities, making it particularly valuable for professionals involved in digital transformation initiatives.
Įvertinti šią el. knygą
Pasidalykite savo nuomone.
Skaitymo informacija
Išmanieji telefonai ir planšetiniai kompiuteriai
Įdiekite „Google Play“ knygų programą, skirtą „Android“ ir „iPad“ / „iPhone“. Ji automatiškai susinchronizuojama su paskyra ir jūs galite skaityti tiek prisijungę, tiek neprisijungę, kad ir kur būtumėte.
Nešiojamieji ir staliniai kompiuteriai
Galite klausyti garsinių knygų, įsigytų sistemoje „Google Play“ naudojant kompiuterio žiniatinklio naršyklę.
El. knygų skaitytuvai ir kiti įrenginiai
Jei norite skaityti el. skaitytuvuose, pvz., „Kobo eReader“, turite atsisiųsti failą ir perkelti jį į įrenginį. Kad perkeltumėte failus į palaikomus el. skaitytuvus, vadovaukitės išsamiomis pagalbos centro instrukcijomis.
