TOP 10 MACHINE LEARNING COURSES IN USA

Mastering Machine Learning: From Data Import to Model Evaluation with Advanced Classifiers

Want to gain more insight from your data? Is analyzing datasets too much for your favorite spreadsheet? Considering using machine learning to improve insights?

[AI INTRO] is a math heavy course offered at KTBYTE, and require students to have mastered self-guided learning.

Why write programs when the computer can instead learn them from data? In this class you will learn how to make this happen, from the simplest machine learning algorithms to quite sophisticated ones.

This skillset is in high demand, as machine learning algorithms now run the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.

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.

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...

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.

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 course provides an introduction to machine learning, the study of systems that improve automatically based on data and past experience

Dive into the rapidly evolving world of Machine Learning Operations (MLOps) and AI Security with our intensive 3-day boot camp. MLOps bridges the gap between data science and operation teams, delivering continuous collaboration and integration to drive the efficient production of AI models.