𝔖 Scriptorium
✦   LIBER   ✦

Cover of Building recommender systems with machine learning and AI
πŸ“

Building recommender systems with machine learning and AI

✍ Scribed by Kane, Frank, author


Publisher
[Winter Springs, FL] : Sundog Education/Sundog Software, LLC
Year
2018
Tongue
English
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


510 pages : 24 cm


πŸ“œ SIMILAR VOLUMES


Building Recommender Systems with Machin
✍ Frank Kane πŸ“‚ Library πŸ“… 2021 πŸ› Sundog Education 🌐 English

Learn how to build recommender systems from one of Amazon's pioneers in the field. Frank Kane spent over nine years at Amazon, where he managed and led the development of many of Amazon's personalized product recommendation technologies. This updated second edition covers the latest developments in

Building Recommender Systems with Machin
✍ Frank Kane πŸ“‚ Library πŸ“… 2021 πŸ› Sundog Education 🌐 English

Learn how to build recommender systems from one of Amazon's pioneers in the field. Frank Kane spent over nine years at Amazon, where he managed and led the development of many of Amazon's personalized product recommendation technologies. This updated second edition covers the latest developments in

Building Recommender Systems with Machin
✍ Frank Kane πŸ“‚ Library πŸ“… 2018 πŸ› Independently Published 🌐 English

Learn how to build recommender systems from one of Amazon's pioneers in the field. Frank Kane spent over nine years at Amazon, where he managed and led the development of many of Amazon's personalized product recommendation technologies. You've seen automated recommendations everywhere - on Netflix'

Building Recommender Systems with Machin
✍ Kane, Frank πŸ“‚ Library πŸ“… 2018 πŸ› Sundog Education 🌐 English

Learn how to build recommender systems from one of Amazon's pioneers in the field. Frank Kane spent over nine years at Amazon, where he managed and led the development of many of Amazon's personalized product recommendation technologies.You've seen automated recommendations everywhere - on Netflix's

Interpretable AI: Building explainable m
✍ Ajay Thampi πŸ“‚ Library πŸ“… 2022 πŸ› Manning Publications 🌐 English

AI doesn’t have to be a black box. These practical techniques help shine a light on your model’s mysterious inner workings. Make your AI more transparent, and you’ll improve trust in your results, combat data leakage and bias, and ensure compliance with legal requirements. In Interpretable AI, yo

Interpretable AI: Building explainable m
✍ Ajay Thampi πŸ“‚ Library πŸ“… 2022 πŸ› Manning 🌐 English

<span>AI doesn’t have to be a black box. These practical techniques help shine a light on your model’s mysterious inner workings. Make your AI more transparent, and you’ll improve trust in your results, combat data leakage and bias, and ensure compliance with legal requirements.</span><span><br><br>