{"product_id":"2940195691868","title":"Low-Code AI: A Practical Project-Driven Introduction to Machine Learning","description":"Take a data-first and use-case-driven approach with \u003ci\u003eLow-Code AI\u003c\/i\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\u003cbr\u003e\u003cbr\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\u003cbr\u003e\u003cbr\u003eYou'll learn how to distinguish between structured and unstructured data and the challenges they present; visualize and analyze data; preprocess data for input into a machine learning model; differentiate between the regression and classification supervised learning models; compare different ML model types and architectures, from no code to low code to custom training; design, implement, and tune ML models; and export data to a GitHub repository for data management and governance.","brand":"Ascent Audio","offers":[{"title":"Default Title","offer_id":46548279034097,"sku":"2940195691868","price":19.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/2940195691868_p0.jpg?v=1765191902","url":"https:\/\/shop.barnesandnoble.com\/products\/2940195691868","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}