Stanford University · Course
Applied Machine Learning with Python for AI Applications (CSP-XTECH27)
Applied Machine Learning with Python for AI Applications (CSP-XTECH27) is a Stanford Continuing Studies course that uses Python to teach regression, classification and deep learning, with over 15 machine learning methods implemented and tested on real-world business cases.
Who it suits
- Professionals who want hands-on machine learning with Python and strategic framing.
- People with varying experience: Stanford says assignments accommodate different levels.
What it covers
- Regression, classification and advanced deep learning algorithms.
- Supervised and unsupervised learning techniques.
- Case studies in finance, healthcare, ecommerce and marketing.
- A customisable final project aligned with your goals.
Common questions about Applied Machine Learning with Python for AI Applications (CSP-XTECH27)
- How many methods do I implement?
- Stanford says over 15 machine learning methods.
- Is it online?
- Stanford lists a 100% online format.
- Can I enrol any time?
- Enrolment is only open during set periods, and an application is needed for graduate courses, so check the page for the current dates.
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Where this comes from
Written from Stanford University’s own pages, read on 2026-10-14. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with Stanford University and this is not an endorsement.