Low-Code AI: A Practical Project-Driven Introduction to Machine Learning Stripling Gwendolyn
Low-Code AI: A Practical Project-Driven Introduction to Machine Learning Stripling Gwendolyn Take a data-first and use-case driven approach to understanding machine learning and deep learning…
Specifikacia Low-Code AI: A Practical Project-Driven Introduction to Machine Learning Stripling Gwendolyn
Low-Code AI: A Practical Project-Driven Introduction to Machine Learning Stripling Gwendolyn
Take a data-first and use-case driven approach to understanding machine learning and deep learning concepts with Low-Code AI. 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. 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.
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 structured and unstructured data and understand the different
Introduction to Machine Learning
Introduction to Machine Learning