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:Teaching, State Space, Bayesian Inference, Markov Chain Monte Carlo, Data Science, Linear Regression, Machine Learning, Probability Theories, Sampling (Statistics), Physics, Propagation Of Uncertainty, Deep Learning, K-Means Clustering, Convolutional Neural Networks, Gaussian Process, Artificial Neural Networks, Data Analysis, Principal Component Analysis, Unsupervised Learning, Logistic Regression
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