The Machine Learning Pipeline on AWS course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment.
The Machine Learning Pipeline on AWS course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment.
Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem.
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Accelebrate's  Machine Learning with TensorFlow & Keras training teaches attendees how to develop real-world machine learning applications powered by TensorFlow and Keras, popular technologies for building production-grade deep learning models. Students also learn how to use an HTTP API to retriev...
NYU Tandon's Summer Program for Machine Learning is a two-week course that introduces high school students to the computer science, data analyses, mathematical techniques, and logic that drive the fields of machine learning and artificial intelligence.
This 35-hour Machine Learning with R course introduces both the theoretical foundation of machine learning algorithms as well as their practical applications in R.
Mathematica is a modern computing system for data analytics. Mathematica offers built in machine learning capabilities for data analysis.
Want to gain more insight from your data? Is analyzing datasets too much for your favorite spreadsheet? Considering using machine learning to improve insights?
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