May 1, 2024
3 minute read
With the advent of big data and the increasing complexity of machine learning models, the task of tuning and optimizing these models has become increasingly challenging. AutoGluon is an open-source AutoML toolkit developed by Amazon Web Services (AWS) that simplifies this process by automating the entire machine learning workflow, from data preprocessing and feature engineering to model selection and hyperparameter tuning.
What is AutoGluon?
biodq6|
Find a path to becoming a AutoGluon. Learn more at:
OpenCourser.com/topic/biodq6/autogluo
Reading list
We've selected four books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
AutoGluon.
This comprehensive guide, authored by a leading researcher in the field, provides an in-depth analysis of AutoGluon's algorithms, techniques, and applications.
Practical guide to using AutoGluon for AutoML. It covers a wide range of topics, including data preprocessing, feature engineering, model selection, and hyperparameter tuning. It is written by a leading expert in AutoML, so you can be sure that you are getting the best advice.
Comprehensive guide to AutoGluon for data scientists. It covers everything from the basics of AutoML to advanced topics such as model interpretation and deployment. It is written by a leading expert in data science, so you can be sure that you are getting the most up-to-date information.
Provides a comprehensive overview of AutoGluon in the Python programming language, covering its features, usage, and real-world applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/biodq6/autogluo