Cornell University

Cornell University

About This Program

This professional certificate program provides a comprehensive introduction to implementing machine learning algorithms using Python and NumPy to solve real-world data science problems.

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What You'll Learn

Students learn to implement k-nearest neighbors, naive Bayes, decision trees, and neural networks while gaining skills in model selection, debugging, and probability distribution estimation.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:

Visit Official Program Website

Typical Curriculum Structure

Note: This is a typical curriculum structure for Master's in AI programs. For the exact courses offered by Cornell University, visit their official program website.

Typical Course Topics

                   Coursework covers problem-solving with machine learning, estimating probability distributions, linear classifiers, decision trees, kernel machines, and deep learning neural networks.

Flexible

Program Specializations:

Deep Learning, Machine Learning

View the exact, up-to-date curriculum on the official program website

Admissions

Careers

Gain deep learning skills to advance as Machine Learning Engineer in Cross-Industry AI

Program Details

Duration

0.3 Years

Tuition

29100

View funding options →

Format

Online

Specializations

Deep Learning, Machine Learning

Official Resources

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