{"product_id":"low-code-ai-a-practical-project-driven-introduction-to-machine-learning-paperback","title":"Low-Code AI: A Practical Project-Driven Introduction to Machine Learning - Paperback","description":"\u003cp\u003eby \u003cb\u003eGwendolyn Stripling\u003c\/b\u003e (Author), \u003cb\u003eMichael Abel\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\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 \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\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 325\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.69 x 9.19 x 7 IN\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 17, 2023\u003c\/div\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42691507748927,"sku":"9781098146825","price":79.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/7419bcbc92602b665e4e917d9ab5a306.webp?v=1764992340","url":"https:\/\/dhl-adrianne.myshopify.com\/products\/low-code-ai-a-practical-project-driven-introduction-to-machine-learning-paperback","provider":"BBB","version":"1.0","type":"link"}