Designing Great Data Products Jeremy Howard, Margit Zwemer, Mike Loukides
- Autorzy:
- Jeremy Howard, Margit Zwemer, Mike Loukides
- Wydawnictwo:
- O'Reilly Media
- Ocena:
- Stron:
- 23
- Dostępne formaty:
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Designing Great Data Products
In the past few years, we’ve seen many data products based on predictive modeling. These products range from weather forecasting to recommendation engines like Amazon's. Prediction technology can be interesting and mathematically elegant, but we need to take the next step: going from recommendations to products that can produce optimal strategies for meeting concrete business objectives.
We already know how to build these products: they've been in use for the past decade or so, but they're not as common as they should be. This report shows how to take the next step: to go from simple predictions and recommendations to a new generation of data products with the potential to revolutionize entire industries.
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Jeremy Howard, Margit Zwemer, Mike Loukides - pozostałe książki
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głębokiego trudno tworzyć dobre aplikacje. Oto praktyczny i przystępny przewodnik po koncepcjach uczenia głębokiego, napisany tak, aby ułatwić zrozumienie najnowszych technik w tej dziedzinie bez znajomości wyższej matematyki. Książka daje znakomite podstawy uczenia głębokiego, a następnie stopniowo wprowadza zagadnienia sposobu działania modeli, ich budowy i trenowania. Pokazano w niej również praktyczne techniki przekształcania modeli w działające aplikacje.- PDF + ePub + Mobi
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Szczegóły książki
- ISBN Ebooka:
- 978-14-493-3368-3, 9781449333683
- Data wydania ebooka :
-
2012-03-23
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- Język publikacji:
- angielski
- Rozmiar pliku ePub:
- 2.7MB
- Rozmiar pliku Mobi:
- 5.5MB
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