{"product_id":"9781617296819","title":"Machine Learning Bookcamp: Build a portfolio of real-life projects","description":"\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eAuthor\/Contributor(s):\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eGrigorev, Alexey\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eManning\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eDate:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e11\/23\/2021\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eBinding:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003ePaperback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eNEW\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cb\u003eTime to flex your machine learning muscles! Take on the carefully designed challenges of the \u003ci\u003eMachine Learning Bookcamp\u003c\/i\u003e and master essential ML techniques through practical application.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eSummary\u003cbr\u003eIn \u003ci\u003eMachine Learning Bookcamp\u003c\/i\u003e you will:\u003cbr\u003e\u003cbr\u003eCollect and clean data for training models\u003cbr\u003eUse popular Python tools, including NumPy, Scikit-Learn, and TensorFlow\u003cbr\u003eApply ML to complex datasets with images\u003cbr\u003eDeploy ML models to a production-ready environment\u003cbr\u003e\u003cbr\u003eThe only way to learn is to practice! In \u003ci\u003eMachine Learning Bookcamp\u003c\/i\u003e, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the technology\u003c\/b\u003e\u003cbr\u003eMaster key machine learning concepts as you build actual projects! Machine learning is what you need for analyzing customer behavior, predicting price trends, evaluating risk, and much more. To master ML, you need great examples, clear explanations, and lots of practice. This book delivers all three!\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the book\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMachine Learning Bookcamp\u003c\/i\u003e presents realistic, practical machine learning scenarios, along with crystal-clear coverage of key concepts. In it, you’ll complete engaging projects, such as creating a car price predictor using linear regression and deploying a churn prediction service. You’ll go beyond the algorithms and explore important techniques like deploying ML applications on serverless systems and serving models with Kubernetes and Kubeflow. Dig in, get your hands dirty, and have fun building your ML skills!\u003cbr\u003e\u003cbr\u003eWhat's inside\u003cbr\u003e\u003cbr\u003eCollect and clean data for training models\u003cbr\u003eUse popular Python tools, including NumPy, Scikit-Learn, and TensorFlow\u003cbr\u003eDeploy ML models to a production-ready environment\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e\u003cbr\u003ePython programming skills assumed. No previous machine learning knowledge is required.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eAlexey Grigorev\u003c\/b\u003e is a principal data scientist at OLX Group. He runs DataTalks.Club, a community of people who love data.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e1 Introduction to machine learning\u003cbr\u003e2 Machine learning for regression\u003cbr\u003e3 Machine learning for classification\u003cbr\u003e4 Evaluation metrics for classification\u003cbr\u003e5 Deploying machine learning models\u003cbr\u003e6 Decision trees and ensemble learning\u003cbr\u003e7 Neural networks and deep learning\u003cbr\u003e8 Serverless deep learning\u003cbr\u003e9 Serving models with Kubernetes and Kubeflow","brand":"Manning","offers":[{"title":"Default Title","offer_id":44356773937407,"sku":"9781617296819","price":49.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0452\/0886\/2873\/files\/Jacket_c71e718a-5d41-43e2-9b41-840c96978d7c.jpg?v=1771351318","url":"https:\/\/massivebookshop.com\/de\/products\/9781617296819","provider":"MASSIVE BOOKSHOP","version":"1.0","type":"link"}