16 weeks
6–7 hours per week
Instructor-paced
Instructor-led on a course schedule
Introduction to Scientific Machine Learning
At a glance
- Institution: PurdueX
- Subject: Engineering
- Level: Advanced
- Prerequisites:
- Working knowledge of multivariate calculus and basic linear algebra
- Basic Python knowledge
- Knowledge of probability and numerical methods for engineering would be helpful, but not required
- Language: English
- Video Transcript: English
- Associated skills:Data Analysis, Probability Theories, Gaussian Process, Machine Learning, K-Means Clustering, Teaching, Bayesian Inference, Convolutional Neural Networks, Data Science, Linear Regression, Propagation Of Uncertainty, Deep Learning, Sampling (Statistics), Artificial Neural Networks, Markov Chain Monte Carlo, Physics, Principal Component Analysis, Logistic Regression, State Space, Unsupervised Learning
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