{"product_id":"9781098146788","title":"Low-Code AI: A Practical Project-Driven Introduction to Machine Learning","description":"\u003cp\u003eTake a data-first and use-case–driven approach with \u003cem\u003eLow-Code AI\u003c\/em\u003e to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBusiness and data analysts get a project-based introduction to ML\/AI using a detailed, data-driven approach: loading and analyzing data; feeding data into an ML model; building, training, and testing; and deploying the model into production. Authors Michael Abel and Gwendolyn Stripling show you how to build machine learning models for retail, healthcare, financial services, energy, and telecommunications.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eYou'll learn how to:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDistinguish between structured and unstructured data and the challenges they present\u003c\/li\u003e\n\u003cli\u003eVisualize and analyze data\u003c\/li\u003e\n\u003cli\u003ePreprocess data for input into a machine learning model\u003c\/li\u003e\n\u003cli\u003eDifferentiate between the regression and classification supervised learning models\u003c\/li\u003e\n\u003cli\u003eCompare different ML model types and architectures, from no code to low code to custom training\u003c\/li\u003e\n\u003cli\u003eDesign, implement, and tune ML models\u003c\/li\u003e\n\u003cli\u003eExport data to a GitHub repository for data management and governance\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"O'Reilly Media, Incorporated","offers":[{"title":"Default Title","offer_id":46473221406961,"sku":"9781098146788","price":67.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781098146788_p0.jpg?v=1765437353","url":"https:\/\/shop.barnesandnoble.com\/products\/9781098146788","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}