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- Monday, 14 October 2019 00:00
Process, Jahnoon and Batman - 3 lessons learned from managing an ML product
Though the concepts of machine learning and artificial intelligence algorithms dates back to nearly 70 years ago it is mainly in the last 15 years that commercial applications of ML and AI started to appear with companies like Google and Facebook pioneering the use of ML for building products using speech recognition, image recognition and so on. Since then more and more products are being developed based on ML and AI algorithms and it is becoming more likely that product managers will face ML algorithms in their careers.
But what effect does this have, if at all, on our work as product managers? Is there anything different about being a PM for an ML product vs. any other product? How much should product managers know about these algorithms?
In this session I will take you through my own personal journey of being a PM launching an ML based product in taboola and will provide some personal takeaways on how to be more successful with your ML product.
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2305 comments
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Sunday, 10 November 2024 22:39
posted by
MKグループの株価はいくらですか
The addition of lead(II) oxide into silicate glass lowers the melting level and viscosity of the melt.
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Sunday, 10 November 2024 22:34
posted by
李さん 中国語
We carried out four days of drywall sanding with each of the models below to put them through a real-deal arms-on test.
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Sunday, 10 November 2024 22:30
posted by
ストックホルム ガムラスタン
Ohnesorge, Lauren Ok. (2017-11-28).
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Sunday, 10 November 2024 22:27
posted by
数学 者 日本 人
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Sunday, 10 November 2024 22:21
posted by
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Sunday, 10 November 2024 22:14
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日本maセンター株価 掲示板
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Sunday, 10 November 2024 22:12
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Sunday, 10 November 2024 21:50
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みずほメディ 株価
I promise it should make your sides damage.
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Sunday, 10 November 2024 21:33
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スプリング コート 色
While this implies faster sanding, I found it also allowed me to concentrate extra on hitting the format lines and to be more accurate.
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Sunday, 10 November 2024 21:31
posted by
傾く
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