DeepLearning.AI + Stanford Online
Machine Learning Specialization
Paid Editors' choice
Description
A three-course specialization from DeepLearning.AI and Stanford Online, taught by Andrew Ng. It provides foundational machine learning knowledge and practical skills for building AI applications, covering supervised learning, neural networks, decision trees, unsupervised learning, clustering, dimensionality reduction and recommender systems.
##ОнлайнКурсы #Stanford #DeepLearningAI #AndrewNg #MachineLearning #AI #DataScience #Python Computer science and AI Mathematics
What you get
Stanford Online + DeepLearning.AI; taught by Andrew Ng; strong ML foundation; hands-on assignments; Python; real-world AI applications; shareable certificate; internationally accessible.
Certificate provided
Requirements
Eligibility: international learners; no citizenship or country restriction is stated. Beginner level. Basic Python programming and mathematics are recommended (school algebra; basic calculus and linear algebra are helpful). Students must complete the courses and assignments to earn the certificate. No recommendation letter, motivation essay or interview is required. Financial aid is available through Coursera where offered.
How to apply
Review the requirements
Check the age and grade limits, the language and the documents on the official website.
Check the age and grade limits, the language and the documents on the official website.
Prepare your materials
Essays, recommendation letters, certificates — start 4–6 weeks before the deadline.
Essays, recommendation letters, certificates — start 4–6 weeks before the deadline.
Save it in Pathfolio
Tap — the opportunity and its deadline will be saved to your account.
Tap — the opportunity and its deadline will be saved to your account.
Apply
On the programme’s official website — the “Official website” button in the deadline panel.
On the programme’s official website — the “Official website” button in the deadline panel.
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