Download books » Computers, Internet » Download EPUB PDF Low-Code AI: A Practical Project-Driven Introduction to Machine Learning

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

Low-Code AI: A Practical Project-Driven Introduction to Machine Learning
Date: October 17th, 2023
ISBN: 1098146824
Language: English
Number of pages: 328 pages
Format: EPUB True PDF
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

Download Low-Code AI: A Practical Project-Driven Introduction to Machine Learning




Resolve captcha to access download link!

Information
Users of Guests are not allowed to comment this publication.
RSS
2019-2024. All books on the site are laid out only for informational purposes.