شنبه - 11 مهر 1405
{"Id":0,"Name":null,"Mobile":null,"Email":null,"Token":null,"Type":0,"ReferencerId":null,"VatConfirm":false,"PublicToken":null,"Culture":"fa-ir","Currency":"usd","CurrencySign":"$","CountryIsoCode":"us","ProfileIsoCode":null,"HasSubset":false,"Discount":0.0,"IsProfileComplete":false,"HasCredit":false,"LastActivity":"0001-01-01T00:00:00"}
login
ورود
shopping cart 0
سبد خرید

سبد خرید

Menu

اطلاعات محصول
شابک: 9789355518101
صفحات: 458
وزن: 1085 g
ابعاد: 19 x 24 x 3 cm
جلد کتاب: شومیز
Thema:

انگلیسی 1402

Machine Learning in Production

نویسنده: Suhas Pote
امتیاز:
در حال حاضر موجود نیست
لیست علاقه‌مندی‌ها
Wishlist
اطلاعات محصول
شابک: 9789355518101
صفحات: 458
وزن: 1085 g
ابعاد: 19 x 24 x 3 cm
جلد کتاب: شومیز
Thema:
It starts off with fundamental concepts, an introduction to the ML lifecycle and MLOps, followed by comprehensive step-by-step instructions on how to develop a package for ML code from scratch that can be installed using pip. It then covers MLflow for ML life cycle management, CI/CD pipelines, and shows how to deploy ML applications on Azure, GCP, and AWS. Furthermore, it provides guidance on how to convert Python applications into Android and Windows apps, as well as how to develop ML web apps. Finally, it covers monitoring, the critical topic of machine learning attacks, and A/B testing.
more
more