{"product_id":"9781617296727","title":"Deep Learning with Structured Data","description":"\u003cstrong\u003eDeep Learning with Structured Data\u003c\/strong\u003e\u003cbr\u003e\u003cb\u003eAuthor(s): Mark Ryan\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003ci\u003eDeep Learning with Structured Data\u003c\/i\u003e teaches you powerful data analysis techniques for tabular data and relational databases.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eSummary\u003c\/b\u003e\u003cbr\u003e Deep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts. \u003ci\u003eDeep Learning with Structured Data\u003c\/i\u003e shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you'll find in the relational databases that real-world businesses depend on. Filled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems.\u003cbr\u003e \u003cbr\u003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\u003cbr\u003e \u003cbr\u003e\u003cb\u003eAbout the technology\u003c\/b\u003e\u003cbr\u003e Here’s a dirty secret: Half of the time in most data science projects is spent cleaning and preparing data. But there’s a better way: Deep learning techniques optimized for tabular data and relational databases deliver insights and analysis without requiring intense feature engineering. Learn the skills to unlock deep learning performance with much less data filtering, validating, and scrubbing.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eAbout the book\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eDeep Learning with Structured Data\u003c\/i\u003e teaches you powerful data analysis techniques for tabular data and relational databases. Get started using a dataset based on the Toronto transit system. As you work through the book, you’ll learn how easy it is to set up tabular data for deep learning, while solving crucial production concerns like deployment and performance monitoring.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eWhat's inside\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e    When and where to use deep learning\u003cbr\u003e     The architecture of a Keras deep learning model\u003cbr\u003e     Training, deploying, and maintaining models\u003cbr\u003e     Measuring performance\u003cbr\u003e \u003cbr\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e\u003cbr\u003e For readers with intermediate Python and machine learning skills.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eAbout the author\u003c\/b\u003e\u003cbr\u003e \u003cb\u003eMark Ryan\u003c\/b\u003e is a Data Science Manager at Intact Insurance. He holds a Master's degree in Computer Science from the University of Toronto.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e1 Why deep learning with structured data?\u003cbr\u003e \u003cbr\u003e2 Introduction to the example problem and Pandas dataframes\u003cbr\u003e \u003cbr\u003e3 Preparing the data, part 1: Exploring and cleansing the data\u003cbr\u003e \u003cbr\u003e4 Preparing the data, part 2: Transforming the data\u003cbr\u003e \u003cbr\u003e5 Preparing and building the model\u003cbr\u003e \u003cbr\u003e6 Training the model and running experiments\u003cbr\u003e \u003cbr\u003e7 More experiments with the trained model\u003cbr\u003e \u003cbr\u003e8 Deploying the model\u003cbr\u003e \u003cbr\u003e9 Recommended next steps\u003cbr\u003e\u003cbr\u003eReview(s):\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003eISBN:  9781617296727\u003cbr\u003e\u003cbr\u003e ","brand":"Manning Publications","offers":[{"title":"Paperback \/ softback","offer_id":40588674695374,"sku":"9781617296727","price":59.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0600\/7029\/7806\/products\/O_96d5a8b9-bcd8-4ec6-9e0f-ca91ad570fa6.jpg?v=1637701887","url":"https:\/\/pickwickbookshop.com\/products\/9781617296727","provider":"Pickwick Bookshop","version":"1.0","type":"link"}