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https://github.com/krisjin/tech-awesome
tech blog
https://github.com/krisjin/tech-awesome
List: tech-awesome
Last synced: 3 months ago
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tech blog
- Host: GitHub
- URL: https://github.com/krisjin/tech-awesome
- Owner: krisjin
- Created: 2020-12-28T02:02:28.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-02-02T01:33:44.000Z (almost 4 years ago)
- Last Synced: 2024-04-10T15:58:11.012Z (7 months ago)
- Size: 934 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - tech-awesome - Tech blog. (Other Lists / PowerShell Lists)
README
# tech-awesome
tech blog- [https://www.techleer.com/](https://www.techleer.com/)
- [Seattle Data Guy](https://www.theseattledataguy.com/)
- [Artificial Intelligence in Finance](https://learning.oreilly.com/library/view/artificial-intelligence-in/9781492055426/ch01.html)
- [thenewstack](https://thenewstack.io/)
- [datatron](https://blog.datatron.com/what-is-model-drift/)
- [openml](https://www.openml.org/)
- [lfaidata](https://lfaidata.foundation/news/blog/)
- [usenix](https://www.usenix.org/)
- [usenix atc20 ](https://www.usenix.org/conference/atc20/technical-sessions)
- [An-Introduction-To-Online-Machine-Learning](https://dziganto.github.io/data%20science/online%20learning/python/scikit-learn/An-Introduction-To-Online-Machine-Learning/)
- [types-of-learning-in-machine-learning](https://machinelearningmastery.com/types-of-learning-in-machine-learning/)
- [https://www.sciencedirect.com/](https://www.sciencedirect.com/)
- [simple-introduction-to-online-learning-in-machine-learning](https://www.iunera.com/kraken/fabric/simple-introduction-to-online-learning-in-machine-learning/)
- [https://www.techopedia.com/](https://www.techopedia.com/)- [https://faculty.ucmerced.edu/mhyang/course/eecs275/matrix_computation.htm](https://faculty.ucmerced.edu/mhyang/course/eecs275/matrix_computation.htm)
- [https://www.kaggle.com/marto24/cassava-baseline-model](https://www.kaggle.com/marto24/cassava-baseline-model)
- [understanding-machine-learning-theory-algorithms](https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf)- [arxiv.org/list/cs/pastweek](https://arxiv.org/list/cs/pastweek?skip=0&show=25)
- [https://hackr.io/](https://hackr.io/)
- [https://www.skillshare.com/?via=header](https://www.skillshare.com/?via=header)
- [https://www.aupress.ca/books/](https://www.aupress.ca/books/)
- [https://www.kdnuggets.com/](https://www.kdnuggets.com/)
- [GoogleAIBlog](https://blog.google/technology/ai/)
- [google-machine-learning](https://developers.google.com/machine-learning/crash-course)]
- [freewill blog](http://freewill.top/)
- [https://daiwk.github.io/](https://daiwk.github.io/)
- [星爷的博客](http://www.readingnotes.site/)
- [http://just4coding.com/](http://just4coding.com/)
- [https://github.com/rfyiamcool/share_ppt](https://github.com/rfyiamcool/share_ppt)
- [http://justinhj.github.io/](http://justinhj.github.io/)
- [https://jiang-hao.com/](https://jiang-hao.com/)
- [http://wxwidget.github.io/](http://wxwidget.github.io/)
- [https://codingnote.cc/](https://codingnote.cc/)
- [http://yjliu.net/cv/](http://yjliu.net/cv/)http://qingyuanxingsi.github.io/
https://zdkswd.github.io/
https://libertydream.github.io/
## Online Machine Learning
- [http://cs229.stanford.edu/syllabus.html](http://cs229.stanford.edu/syllabus.html)
- [https://ttic.uchicago.edu/~shai/icml08tutorial/](https://ttic.uchicago.edu/~shai/icml08tutorial/)
- [http://www.cs.cmu.edu/~avrim/Papers/survey.pdf](http://www.cs.cmu.edu/~avrim/Papers/survey.pdf)
- [http://cs229.stanford.edu/notes2020spring/lecture1_slide.pdf](http://cs229.stanford.edu/notes2020spring/lecture1_slide.pdf)
- [Online Machine Learning in Big Data Streams](https://arxiv.org/pdf/1802.05872.pdf)
- [online ml river](https://github.com/online-ml/river)
- [https://github.com/real-time-machine-learning](https://github.com/real-time-machine-learning)
- [https://www.jmlr.org/](https://www.jmlr.org/)
- [scikit-multiflow](scikit-multiflow)
- [https://www.mit.edu/~rakhlin/6.883/](https://www.mit.edu/~rakhlin/6.883/)
- [FTRL](https://static.googleusercontent.com/media/research.google.com/zh-CN//pubs/archive/41159.pdf)
- [Online Learning:Theory, Algorithms, and Applications](https://ttic.uchicago.edu/~shai/papers/ShalevThesis07.pdf)
- [https://ttic.uchicago.edu/~shai/](https://ttic.uchicago.edu/~shai/)
- yoram machine learning : term
- [2008-Theory_and_Practice_of_Online_Learning](https://www.aupress.ca/app/uploads/120146_99Z_Anderson_2008-Theory_and_Practice_of_Online_Learning.pdf)
- [Introduction to Online Learning](https://haipeng-luo.net/courses/CSCI699/)
- [http://saili.science/online-learning/](http://saili.science/online-learning/)
- [https://unsplash.com/t/nature](https://unsplash.com/t/nature)
- https://www.zybuluo.com/Dounm/note/517675
- https://www.zybuluo.com/Dounm/note/529299