"VV Square"building, Plot.No.TS 710/1b1 & 2B1, CMC Ward No 18, Moka road, Gandhinagar, Ballari-583 101. 583101 Bellari IN
Kendriya Vidyalaya Ballari
"VV Square"building, Plot.No.TS 710/1b1 & 2B1, CMC Ward No 18, Moka road, Gandhinagar, Ballari-583 101. Bellari, IN
+918050151380 https://www.trendypaper.com/s/5b1a00c581a9afd8ff765190/ms.settings/5256837ccc4abf1d39000001/5b928defbda50e15d4c76434-480x480.png" [email protected]
9789391030421- 63f9e3e64bf1dcc85e941d89 Practical Full Stack Machine Learning? https://www.trendypaper.com/s/5b1a00c581a9afd8ff765190/64df471eaf1d4c406425df26/51o4eqy2eol-_sx218_bo1-204-203-200_ql40_fmwebp_.webp The book covers data pre-processing, feature management, selecting the best algorithm, model performance optimization, exposing ML models as API endpoints, and scaling ML API. It helps you learn how to use cookiecutter to create reusable project structures and templates. It explains DVC so that you can implement it and reap the same benefits in ML projects.It also covers DASK and how to use it to create scalable solutions for pre-processing data tasks. KerasTuner, an easy-to-use, scalable hyperparameter optimization framework that solves the pain points of hyperparameter search will be covered in this book. It explains ensemble techniques such as bagging, stacking, and boosting methods and the ML-ensemble framework to easily and effectively implement ensemble learning.
The book also covers how to use Airflow to automate your ETL tasks for data preparation. It explores MLflow, which allows you to train, reuse, and deploy models created with any library. It teaches how to use fastAPI to expose and scale ML models as API endpoints. Relevant Links: Who Will Cry When You Die Telugu Paperback Books OnlineFamily Adventure Series Books OnlineOpenly Straight Books OnlineHandbook Of Soil Science Hb Books OnlineSoftware Development Techniques Using Data Structure Based On C Books Online1356 Books OnlineTaylor And Francis Crc Products OnlineComputer Analysis Of Framed Structures Books OnlineTogether With Everything Blossoms C2 Write English Small Magic For Class Ukg Books Online
9789391030421-
in stock INR 899
BPB Publications
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The book covers data pre-processing, feature management, selecting the best algorithm, model performance optimization, exposing ML models as API endpoints, and scaling ML API. It helps you learn how to use cookiecutter to create reusable project structures and templates. It explains DVC so that you can implement it and reap the same benefits in ML projects.It also covers DASK and how to use it to create scalable solutions for pre-processing data tasks. KerasTuner, an easy-to-use, scalable hyperparameter optimization framework that solves the pain points of hyperparameter search will be covered in this book. It explains ensemble techniques such as bagging, stacking, and boosting methods and the ML-ensemble framework to easily and effectively implement ensemble learning.
The book also covers how to use Airflow to automate your ETL tasks for data preparation. It explores MLflow, which allows you to train, reuse, and deploy models created with any library. It teaches how to use fastAPI to expose and scale ML models as API endpoints. Relevant Links: Who Will Cry When You Die Telugu Paperback Books OnlineFamily Adventure Series Books OnlineOpenly Straight Books OnlineHandbook Of Soil Science Hb Books OnlineSoftware Development Techniques Using Data Structure Based On C Books Online1356 Books OnlineTaylor And Francis Crc Products OnlineComputer Analysis Of Framed Structures Books OnlineTogether With Everything Blossoms C2 Write English Small Magic For Class Ukg Books Online

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