Parametre
- 192 stránok
- 7 hodin čítania
Viac o knihe
"Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Consequently, organizations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies"--Back cover
Nákup knihy
Artificial Intelligence and Machine Learning for Business, Steven Finlay
- Jazyk
- Rok vydania
- 2018
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- Cena
- 6,49 €
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- Titul
- Artificial Intelligence and Machine Learning for Business
- Podtitul
- A No-Nonsense Guide to Data Driven Technologies - Third Edition
- Jazyk
- anglicky
- Autori
- Steven Finlay
- Vydavateľ
- LIGHTNING SOURCE INC
- Rok vydania
- 2018
- Väzba
- mäkká
- Počet strán
- 192
- ISBN10
- 1999730348
- ISBN13
- 9781999730345
- Série
- Štítky
- Náučná literatúra, Byznys, Biznis & Manažment, Technológie & Priemysel, Počítače & Internet, Veda, Ekonómia, Technológia, Marketing & Predaj, Umelá inteligencia, Veľké dáta, Strojové učenie
- Anotácia
- "Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Consequently, organizations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies"--Back cover