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The AI Product Manager's Handbook. Develop a product that takes advantage of machine learning to solve AI problems

(ebook) (audiobook) (audiobook) Książka w języku 1
Autor:
Irene Bratsis
The AI Product Manager's Handbook. Develop a product that takes advantage of machine learning to solve AI problems Irene Bratsis - okladka książki

The AI Product Manager's Handbook. Develop a product that takes advantage of machine learning to solve AI problems Irene Bratsis - okladka książki

The AI Product Manager's Handbook. Develop a product that takes advantage of machine learning to solve AI problems Irene Bratsis - audiobook MP3

The AI Product Manager's Handbook. Develop a product that takes advantage of machine learning to solve AI problems Irene Bratsis - audiobook CD

e_39wu/e_39wu.mp3 e_39wu
Serie wydawnicze:
Learning
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
250
Czas nagrania:
10:58:00
Dostępne formaty:
     PDF
     ePub
Audiobook
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Ebook (197,10 zł najniższa cena z 30 dni)

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Audiobook w mp3 (152,10 zł najniższa cena z 30 dni)

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Do przechowalni

Do przechowalni

Product managers working with artificial intelligence will be able to put their knowledge to work with this practical guide to applied AI. This book covers everything you need to know to drive product development and growth in the AI industry. From understanding AI and machine learning to developing and launching AI products, it provides the strategies, techniques, and tools you need to succeed.
The first part of the book focuses on establishing a foundation of the concepts most relevant to maintaining AI pipelines. The next part focuses on building an AI-native product, and the final part guides you in integrating AI into existing products.
You’ll learn about the types of AI, how to integrate AI into a product or business, and the infrastructure to support the exhaustive and ambitious endeavor of creating AI products or integrating AI into existing products. You’ll gain practical knowledge of managing AI product development processes, evaluating and optimizing AI models, and navigating complex ethical and legal considerations associated with AI products. With the help of real-world examples and case studies, you’ll stay ahead of the curve in the rapidly evolving field of AI and ML.
By the end of this book, you’ll have understood how to navigate the world of AI from a product perspective.

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O autorze książki

Irene Bratsis is a director of digital product and data at the International WELL Building Institute (IWBI). She has a bachelor's in economics, and after completing various MOOCs in data science and big data analytics, she completed a data science program with Thinkful. Before joining IWBI, Irene worked as an operations analyst at Tesla, a data scientist at Gesture, a data product manager at Beekin, and head of product at Tenacity. Irene volunteers as NYC chapter co-lead for Women in Data, has coordinated various AI accelerators, moderated countless events with a speaker series with Women in AI called WaiTalk, and runs a monthly book club focused on data and AI books.

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