Resources for Deep Learning
The area for Machine Learning (ML) is a big field. I have been reading up on this area on how to get started to deep-dive into Machine Learning. Specifically, some of the resources to get started familiarising yourself with Deep Learning which is the most common state-of-the-art in tackling real world problems.
- FastAI: Practical Deep Learning for Coders
- Hands-on approach to learning Deep Learning
- Andrew Ng: Machine Learning Specialization
- Theory approach to ML and covered non DL approaches
- The Missing Semester of Your CS Education
- Useful to brush up on developer skills
- CS50 from Harvard
- Course for you if you are want to get started to be a developer
- Alexey Grigorev: ML bookcamp
- Edward Leardi: MLW-DS-SWE cheat sheets
- b7leung: MLE Flashcards
- Educative: Grokking the ML Interview
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