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Lambar abu:
157976159
Makine Öğrenmesi Sistemleri Tasarlamak: Üretime - Hazır Uygulamalar İçin Yinelemeli Bir Süreç
Lambar abu:
157976159
XOF 30736
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Yi Oda yanzu, a samu nan da Monday, Oktoba 05
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This is simply the best book you can read about how to develop, deploy, scale machine learning models in a company for the greatest impact.
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What Stands Out
Iterative Process
Emphasizes an iterative approach to machine learning system design, ensuring continuous improvement and adaptation, which leads to more refined and production-ready applications.
Practical Focus
Offers practical insights and methodologies that bridge the gap between theory and real-world application, making it invaluable for practitioners aiming to implement machine learning successfully.
Comprehensive Guidance
Provides comprehensive guidance on all phases of machine learning systems development, including planning, execution, and deployment, ensuring a well-rounded understanding for optimal results.
Bayanin samfur
| Yayu0131ncu0131 | Buzdau011fu0131 Yayu0131nevi |
| Yayu0131nlanma Tarihi | 3 Mayu0131s 2024 |
| Basku0131 | 1. |
| Dil | Tu00fcrku00e7e |
| Basku0131 Uzunluu011fu | 416 sayfa |
| ISBN-10 | 6259855230 |
| ISBN-13 | 978-6259855233 |
| Boyutlar | 16.5 x 24 x 2.5 cm |
Who Should Buy?
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Data Scientists
Ideal for data scientists looking to enhance their skills in creating production-ready machine learning systems iteratively.
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Machine Learning Engineers
Beneficial for ML engineers needing a structured approach to deploy machine learning applications efficiently and effectively.
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AI Researchers
Useful for AI researchers focused on practical implementations and iterative processes in real-world machine learning applications.
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Beginners
Not suitable for beginners lacking foundational knowledge in machine learning concepts and systems.
KWATANCEN ABUN
Makine Öğrenmesi Sistemleri Tasarlamak: Üretime - Hazır Uygulamalar İçin Yinelemeli Bir Süreç
Kuna da wata tambaya? Yi taɗi da mu
Tambayoyi & Amsoshi Abokin Ciniki
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Tambaya:
Yadda ake Siyayya Makine Öğrenmesi Sistemleri Tasarlamak: Üretime - Ha Kan layi Daga Ubuy?
Amsa: Yana da sauƙi don siyayya Makine Öğrenmesi Sistemleri Tasarlamak: Üretime - Ha akan layi daga Ubuy.. Dole ne kawai ku nemo samfurin, zaɓi hanyar jigilar kaya yayin dubawa kuma a kai shi wurin da kuke. -
Tambaya:
Ana samun Makine Öğrenmesi Sistemleri Tasarlamak: Üretime - Ha don siyayya akan layi a cikin Niger?
Amsa: Ee, a Ubuy Niger wannan samfurin yana samuwa gare ku don siyayya akan farashi mai ma'ana.. Ba a samun Makine Öğrenmesi Sistemleri Tasarlamak: Üretime - Ha a cikin gida amma kuna iya amincewa da mu da ayyukan jigilar mu na yau da kullun. -
Tambaya:
Yaya tsawon lokacin da ake ɗauka don samun samfur bayan Sanya oda?
Amsa: Lokacin isar da samfurin da aka umarce ku ya bambanta gwargwadon abin da kuka yi oda da hanyar jigilar kaya da kuka zaɓa.. An ambaci lokacin isar da kiyasin yayin aiwatar da biyan kuɗi, don haka a kula yayin sayayya.
Chip Huyen Editorial Review
Ba a sami sake dubawa na edita ba
Customer Reviews & Ratings
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Product Price History
Sanarwa mai amfani
- Iyakoki: Don Abubuwan da aka yi sufurin su daga ƙasashen waje, a lura da cewa garanti ɗin mai ƙira ba lallai ya yi aiki ba; wajan neman taimakon mai ƙira ba lallai ya samu ba; kuma Littafin Sanin yanda abu yake aiki, hanyoyin tsaro da umarni ba lallai ya kasance a yaren ƙasar mai siya ba; Samfurin kaya (da sauran kayan haɗi) ba lallai ne an ƙera su a bisa tsarin ƙasar da za a kaya kayan ba, da ƙayyadaddun bayanai, ko dokar yin alama ko laƙabi; kuma ba lallai bane samfuran kayan su dace da ma'aunin wutar lantarki na voltage ɗin kasar da sauran dokokin ƙasa na wutar lantarki (wanda za'a buƙaci amfani da na'urar adafta ko na'urar canza launi idan ya dace). Mai karɓar kaya shi/ita ke da alhakin tabbatar da cewa samfurin da aka siya za'a iya shigo da shi ƙasar da za'a kai a bisa dokar ƙasar. A yayin yin oda daga Ubuy ko masu alaƙa da su, mai karɓar oda ne mai shigo da kaya, kuma dole ya/ta tabbarar da cewa ya/ta bi duka dokokin ƙasar da za'a kai kayan.
- Ba dukkan abubuwan da aka saka a kan Ubuy bane na sayar wa, don Ubuy wajen bincike ne na duk duniya. Duk wani Samfurin abu yana da dokokin shige da fice na ƙasashe da kuma dokokin siye da sayar wa.
XOF 30736
Yi Oda yanzu, a samu nan da Monday, Oktoba 05
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Fasaloli & Fa'idoji
- Learn a holistic approach to designing reliable machine learning systems.
- Make informed design decisions through real case studies.
- Automate the continuous development and updating of models.
- Develop effective monitoring systems for production problems.
- Create a flexible machine learning platform adaptable to various scenarios.
- Build responsible and sustainable machine learning systems.
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