This Coursera course teaches supervised machine learning, regression, and classification with Python.
Sebastian Thrun’s Introduction To Machine Learning
Udacity’s Introduction to Machine Learning course covers foundational machine learning and data analysis.
About Sebastian Thrun’s Introduction To Machine Learning
Intro to Machine Learning is a Udacity course taught by Sebastian Thrun and Katie Malone. It covers the end-to-end process of investigating data through a machine learning lens and has learners apply the material to a real-world data set.
Key features
- 19 lessons spanning classification, regression, clustering and validation
- Hands-on scikit-learn exercises with naive Bayes, SVM and decision trees
- Mini project on choosing algorithms such as k-nearest neighbors and random forests
- Lessons on feature scaling, feature selection, outlier removal, PCA and evaluation metrics
- Text learning and mini projects using the Enron data set
- Taught by Sebastian Thrun and Katie Malone
Best for: Beginners with no prior technical experience who want a foundational, English-language introduction to machine learning and practical scikit-learn exercises.
Good for
- No prerequisites are listed beyond fluent written and spoken English
- Covers a broad set of topics, from data investigation through a final project
- Instructors come from industry roles rather than typical academic teaching backgrounds
Watch out for
- Instruction is in English and requires fluent written and spoken English
- The course is labeled Intermediate while also stating that no prior technical experience is required
Sebastian Thrun’s Introduction To Machine Learning at a glance
- Category
- Education & Learning › AI Learning & Guides
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Sebastian Thrun’s Introduction To Machine Learning alternatives
Tools and sites you could use instead, ranked by how closely they match.
Stanford CS336 provides course schedules, assignments, and materials for language modeling from scratch.
Aman’s AI Journal collects seminal research papers and course notes for artificial intelligence and deep learning.
Normconf is the tech conference about all the stuff that matters in data and machine learning, but doesn.
Notebooks and code for the book "Introduction to Machine Learning with Python".
Weka 3 provides open source machine learning and data mining software written in Java.
Popular in AI Learning & Guides
Well-known listings from the same topic.
NN Visualnn-visual.comTutorialSearchtutorialsearch.ioTutor AItutorai.meAnimated AIanimatedai.github.ioMade With MLmadewithml.comR-bloggersr-bloggers.com
Sebastian Thrun’s Introduction To Machine Learning FAQ
Do I need prior experience to take the course?
No prior technical experience is required, but you need to communicate fluently and professionally in written and spoken English.
What does the course cover?
Across 19 lessons it covers naive Bayes, SVMs, decision trees, regressions, outliers, clustering, feature scaling, feature selection, text learning, PCA, validation and evaluation metrics, ending with a final project.
Who teaches the course?
The instructors are Sebastian Thrun, Udacity's founder and executive chairman, and Katie Malone.
Is something wrong or out of date?
Tell us and an editor will check it.
Own this website?
Claim this listing
Claim the listing and suggest updates yourself. An editor checks every claim first.