{"product_id":"low-code-ai-a-practical-project-driven-introduction-to-machine-learning-9781098146825","title":"Low-Code AI: A Practical Project-Driven Introduction to Machine Learning","description":"\u003cp\u003eTake a data-first and use-case driven approach to understanding machine learning and deep learning concepts with Low-Code AI. This hands-on guide presents three problem-focused ways to learn ML: no code using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. You'll learn key ML concepts by using real-world datasets with realistic problems. \u003c\/p\u003e\u003cp\u003e Business 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. \u003c\/p\u003e\u003cp\u003e You'll learn how to: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eDistinguish structured and unstructured data and understand the different 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 machine learning 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\u003cbr\u003e\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e O'Reilly Media\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 10\/17\/2023\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781098146825\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 325\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.15lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.19h x 7.00w x 0.69d","brand":"Gwendolyn Stripling, Michael Abel","offers":[{"title":"Default Title","offer_id":43140483055797,"sku":"9781098146825","price":67.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0473\/0804\/6492\/files\/img_980258d1-9128-49cc-b118-84a025b4a723.jpg?v=1695700152","url":"https:\/\/pastforward.org\/products\/low-code-ai-a-practical-project-driven-introduction-to-machine-learning-9781098146825","provider":"Past Forward","version":"1.0","type":"link"}