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Andrew Ng’s Machine Learning at Stanford University vs Practical Deep Learning for Coders 2022 - Part I
A side-by-side comparison of pricing, ratings, features, pros and cons.
| Overview | |||
| Description | Ng’s gentle introduction to machine learning course is perfect for engineers who want a foundational overview of key concepts in the field. | "free course designed for people with some coding experience who want to learn how to apply deep learning and machine learning to practical problems" by Jeremy Howard | |
| Category | |||
| Developer | Coursera | Youtube | |
| Verified Status | No | No | |
| Last Updated | Jul 2026 | Jul 2026 | |
| Pricing | |||
| Pricing Model | Unknown | Free | |
| Free Plan | No | Yes | |
| Open Source | — | No | |
| Capabilities | |||
| Tags | machinelearningandrewstanforduniversitygentle | learningpracticaldeepcoders2022part | |
| Trust and Engagement | |||
| Review Count | 0 | 0 | |
| Saves | 0 | 0 | |
| Views | 7 | 7 | |
| Quality Score | 41/100 | 36/100 | |
| Website Status | Online | Offline | |
| Availability | |||
| Website | www.coursera.org | www.youtube.com | |
| Social Links | 2 linked | — | |
| Screenshots | No | No | |
| Reviews | |||
| Pros | • Actively maintained | • Free to use • Actively maintained | |
| Cons | • Limited user reviews so far | • Limited user reviews so far | |
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