This course provides an introduction to machine learning, the study of systems that improve automatically based on data and past experience
This course provides an introduction to machine learning, the study of systems that improve automatically based on data and past experience. The course will introduce common machine learning tasks, such as classification and clustering, and some of the successful machine learning techniques and broader paradigms that have been developed for these tasks.
Topics include but are not limited to decision trees, nearest neighbors, linear models, support vector machines, neural networks, ensemble methods, k-means, and graphical models. The course is programming-intensive and an emphasis will be placed on tying machine learning techniques to specific real-world applications through hands-on experience
The University of Illinois Chicago is an acclaimed research institution with 16 colleges dedicated to the discovery and distribution of knowledge.
For undergraduate students, UIC offers:
As one of the most ethnically and culturally diverse universities in the country, UIC’s welcoming environment gives you the chance to study, work and grow with classmates who will broaden your perspectives and worldview.
UIC provides the broadest access to the highest levels of intellectual excellence. UIC’s mission is:
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.
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.
Want to gain more insight from your data? Is analyzing datasets too much for your favorite spreadsheet? Considering using machine learning to improve insights?
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.
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.
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