£34.92

O'Reilly Low-Code AI: A Practical Project-Driven Introduction to Machine Learning

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£46.82 £33.59 £36.47 £39.36 £42.25 £45.14 £48.02 01 October 2024 04 February 2025 10 June 2025 14 October 2025 17 February 2026

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Price range: £35 - £47

Price levels: 5 price ranges over 505 days

Description

Take a data-first and use-case-driven approach with Low-Code AI 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. 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. You'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 Export data to a GitHub repository for data management and governance

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Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
29 September 2023
Listed Since
30 March 2023

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