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Linking pages
- GitHub - Developer-Y/cs-video-courses: List of Computer Science courses with video lectures. https://github.com/Developer-Y/cs-video-courses 148 comments
- [2023] 150+ Stanford On-Campus Computer Science Courses Available Online — Class Central https://www.classcentral.com/report/stanford-on-campus-courses/ 66 comments
- GitHub - kjaisingh/high-school-guide-to-machine-learning: Being a high schooler myself and having studied Machine Learning and Artificial Intelligence for a year now, I believe that there fails to exist a learning path in this field for High School students. This is my attempt at creating one. https://github.com/kjaisingh/high-school-guide-to-machine-learning 38 comments
- How to Start Learning Deep Learning – Ofir Press http://ofir.io/How-to-Start-Learning-Deep-Learning/ 29 comments
- The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-transformer/ 25 comments
- GitHub - tomepel/Technical_Book_DL: This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent. https://github.com/tomepel/Technical_Book_DL 23 comments
- ML Resources https://sgfin.github.io/learning-resources/ 21 comments
- GitHub - seudonam/open-college-courses: 😄Courses with open lecture notes and assignments. DO NOT pull requests. https://github.com/seudonam/awesome-courses-online 18 comments
- Sequence Tagging with Tensorflow https://guillaumegenthial.github.io/sequence-tagging-with-tensorflow.html 9 comments
- GitHub - kmario23/deep-learning-drizzle: Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!! https://github.com/kmario23/deep-learning-drizzle 3 comments
- GitHub - astorfi/Deep-Learning-NLP: Organized Resources for Deep Learning in Natural Language Processing https://github.com/astorfi/Deep-Learning-NLP 2 comments
- 4 Steps for Learning Deep Learning | by Vivek Kumar | Medium https://medium.com/@vzkuma/4-steps-for-learning-deep-learning-86f11fcee54#.6nrtkcrn0 2 comments
- GitHub - luban-agi/Awesome-AIGC-Tutorials: Curated tutorials and resources for Large Language Models, AI Painting, and more. https://github.com/luban-agi/Awesome-AIGC-Tutorials 2 comments
- Marvel, Stanford & CMU NLP Playlists, Voynich, Bitter Lesson Vol. 2, ICLR 2019, Dialogue Demos | Revue http://newsletter.ruder.io/issues/marvel-stanford-cmu-nlp-playlists-voynich-bitter-lesson-vol-2-iclr-2019-dialogue-demos-173432 1 comment
- Machine Learning vs Human Learning | Zaat.dev For Developing Fast and Smart Apps https://zaat.to/ml#AI#MachineLearning 1 comment
- No, Kaggle is unsuitable to study AI & ML. A reply to Ben Hamner | by Mostapha Benhenda | HackerNoon.com | Medium https://medium.com/@mostafab/no-kaggle-is-unsuitable-to-study-ai-ml-a-reply-to-ben-hamner-27283878cede 1 comment
- GitHub - vlgiitr/DL_Topics: List of DL topics and resources essential for cracking interviews https://github.com/vlgiitr/DL_Topics 1 comment
- How the AI Startup Experience Has Evolved | Future https://future.a16z.com/a-decade-of-deep-learning-ai-startup/ 0 comments
- Dive into Deep Learning with 15 free online courses https://medium.freecodecamp.org/dive-into-deep-learning-with-these-23-online-courses-bf247d289cc0 0 comments
- 65 Free Data Science Resources for Beginners https://elitedatascience.com/data-science-resources 0 comments
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