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Title | Building Machine Learning Pipelines | A machine learning publication by Hannes Hapke and Catherine |
Description | Order your copy A machine learning publication by Hannes Hapke and Catherine |
Keywords | N/A |
WebSite | buildingmlpipelines.com |
Host IP | 198.185.159.144 |
Location | United States |
Site | Rank |
US$907,712
Last updated: 2023-05-03 04:29:39
buildingmlpipelines.com has Semrush global rank of 11,660,427. buildingmlpipelines.com has an estimated worth of US$ 907,712, based on its estimated Ads revenue. buildingmlpipelines.com receives approximately 104,736 unique visitors each day. Its web server is located in United States, with IP address 198.185.159.144. According to SiteAdvisor, buildingmlpipelines.com is safe to visit. |
Purchase/Sale Value | US$907,712 |
Daily Ads Revenue | US$838 |
Monthly Ads Revenue | US$25,137 |
Yearly Ads Revenue | US$301,640 |
Daily Unique Visitors | 6,983 |
Note: All traffic and earnings values are estimates. |
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Building Machine Learning Pipelines Order your copy today! Read on the O’Reilly platform Order from Amazon Order from Powell’s From the Preface Everybody’s talking about machine learning. It’s moved from an academic discipline to one of the most exciting technologies around. From understanding video feeds in self-driving cars to personalizing medications, it’s becoming important in every industry. While the model architectures and concepts have received a lot of attention, machine learning has yet to go through the standardization of processes that the software industry experienced in the last two decades. In this book, we’d like to show you how to build a standardized machine learning system that is automated and results in models that are reproducible. Who Is This Book For? The primary audience for the book is data scientists and machine learning engineers who want to go beyond training a one-off machine learning model and who want to successfully productize their data science |
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