{"product_id":"databricks-ml-in-action-learn-how-databricks-supports-the-entire-ml-lifecycle-end-to-end-from-data-ingestion-to-the-model-deployment-paperback","title":"Databricks ML in Action: Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eStephanie Rivera\u003c\/b\u003e (Author), \u003cb\u003eAnastasia Prokaieva\u003c\/b\u003e (Author), \u003cb\u003eAmanda Baker\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGet to grips with autogenerating code, deploying ML algorithms, and leveraging various ML lifecycle features on the Databricks Platform, guided by best practices and reusable code for you to try, alter, and build on\u003c\/strong\u003e\u003c\/p\u003eKey Features\u003cul\u003e\n\u003cli\u003eBuild machine learning solutions faster than peers only using documentation\u003c\/li\u003e\n\u003cli\u003eEnhance or refine your expertise with tribal knowledge and concise explanations\u003c\/li\u003e\n\u003cli\u003eFollow along with code projects provided in GitHub to accelerate your projects\u003c\/li\u003e\n\u003cli\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/li\u003e\n\u003c\/ul\u003eBook Description\u003cp\u003eDiscover what makes the Databricks Data Intelligence Platform the go-to choice for top-tier machine learning solutions. Databricks ML in Action presents cloud-agnostic, end-to-end examples with hands-on illustrations of executing data science, machine learning, and generative AI projects on the Databricks Platform.\u003c\/p\u003e\u003cp\u003eYou'll develop expertise in Databricks' managed MLflow, Vector Search, AutoML, Unity Catalog, and Model Serving as you learn to apply them practically in everyday workflows. This Databricks book not only offers detailed code explanations but also facilitates seamless code importation for practical use. You'll discover how to leverage the open-source Databricks platform to enhance learning, boost skills, and elevate productivity with supplemental resources.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll have mastered the use of Databricks for data science, machine learning, and generative AI, enabling you to deliver outstanding data products.\u003c\/p\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003eSet up a workspace for a data team planning to perform data science\u003c\/li\u003e\n\u003cli\u003eMonitor data quality and detect drift\u003c\/li\u003e\n\u003cli\u003eUse autogenerated code for ML modeling and data exploration\u003c\/li\u003e\n\u003cli\u003eOperationalize ML with feature engineering client, AutoML, VectorSearch, Delta Live Tables, AutoLoader, and Workflows\u003c\/li\u003e\n\u003cli\u003eIntegrate open-source and third-party applications, such as OpenAI's ChatGPT, into your AI projects\u003c\/li\u003e\n\u003cli\u003eCommunicate insights through Databricks SQL dashboards and Delta Sharing\u003c\/li\u003e\n\u003cli\u003eExplore data and models through the Databricks marketplace\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for\u003cp\u003eThis book is for machine learning engineers, data scientists, and technical managers seeking hands-on expertise in implementing and leveraging the Databricks Data Intelligence Platform and its Lakehouse architecture to create data products.\u003c\/p\u003eTable of Contents\u003col\u003e\n\u003cli\u003eGetting Started with This Book and Lakehouse Concepts\u003c\/li\u003e\n\u003cli\u003eDesigning Databricks: Day One\u003c\/li\u003e\n\u003cli\u003eBuilding Out Our Bronze Layer\u003c\/li\u003e\n\u003cli\u003eGetting to Know Your Data\u003c\/li\u003e\n\u003cli\u003eFeature Engineering on Databricks\u003c\/li\u003e\n\u003cli\u003eSearching for a Signal\u003c\/li\u003e\n\u003cli\u003eProductionizing ML on Databricks\u003c\/li\u003e\n\u003cli\u003eMonitoring, Evaluating, and More\u003c\/li\u003e\n\u003c\/ol\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 280\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.59 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 17, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52494199456051,"sku":"9781800564893","price":71.78,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/MHxRnStZY19781800564893.webp?v=1759974899","url":"https:\/\/www.vysn.com\/products\/databricks-ml-in-action-learn-how-databricks-supports-the-entire-ml-lifecycle-end-to-end-from-data-ingestion-to-the-model-deployment-paperback","provider":"VYSN","version":"1.0","type":"link"}