The Business of Machine Learning
A Technical Decision Maker's Guide to Communication and Strategy
Successfully and proactively take charge of your machine learning strategy. Machine learning (ML) is permeating every sector and aspect of business, from evaluating the success of a massive online marketing campaign, to predicting insurance payouts, to crime scene analysis. This book shows how to interpret patterns and redundancies from massive amounts of existing data to help your business cut costs, operate more efficiently and effectively, and get to the next level. You will learn how to analyze, communicate, and launch a viable program that, when done correctly, will positively transform your business. The authors engage you to experience…
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V216:
Noch nicht erschienen, Juli 2021
Produktdetails
Weitere Autoren: Lanzetta, Michael
- ISBN: 978-1-4842-3542-3
- EAN: 9781484235423
- Produktnummer: 25822923
- Verlag: Apress L.p.
- Sprache: Englisch
- Erscheinungsjahr: 2021
- Seitenangabe: 230 S.
- Masse: H23.5 cm x B15.5 cm
- Abbildungen: Book; Bibliographie
Über den Autor
Josh Holmes is CTO of the Commercial Software Engineering Americas team at Microsoft. Prior to joining Microsoft, Josh consulted for a variety of clients ranging from large Fortune 500 firms to startups. Josh speaks and presents globally on the topics of IoT and machine learning. A tireless and passionate advocate for the tech community, Josh has founded and/or run numerous organizations, including the Great Lakes Area .NET Users Group and the Ann Arbor Computer Society. He was also on the forming committee for CodeMash. You can contact Josh through his blog.Mike Lanzetta designs and implements machine learning solutions for Fortune 500 companies at Microsoft. He has been doing software development for more than 20 years, working at four-person startups to Amazon. His experience runs the gamut from electronic circuit design, travel optimization, and drug discovery to demand forecasting at Amazon and machine learning at Microsoft. Mike regularly presents and chairs at conferences nationally and internationally. He has an M.Sc. in CSE from UW and a B.Sc. in CE from UCSC. He is often found blogging or tweeting on the topic of machine learning.
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