mirror of
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Add SQL playgrounds, Deep-ML problem set, and OpenCV University courses (#12421)
* add: new machine learning books (MLSys Book, Patterns, Predictions, and Actions) * add: OpenCV University free courses (PyTorch, TensorFlow, Python, OpenCV) * add: new SQL practice and editor resources * add: Deep-ML problem set for competitive programming * fix: lint issues (pdf tag, ordering, trailing slash) * fix: correct alphabetical order for SQL resources
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@@ -435,6 +435,7 @@ Books that cover a specific programming language can be found in the [BY PROGRAM
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* [Interpretable Machine Learning](https://christophm.github.io/interpretable-ml-book/) - Christoph Molnar
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* [Interpretable Machine Learning](https://christophm.github.io/interpretable-ml-book/) - Christoph Molnar
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* [Introduction to CNTK Succinctly](https://www.syncfusion.com/ebooks/cntk_succinctly) - James McCaffrey
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* [Introduction to CNTK Succinctly](https://www.syncfusion.com/ebooks/cntk_succinctly) - James McCaffrey
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* [Introduction to Machine Learning](https://arxiv.org/abs/0904.3664v1) - Amnon Shashua
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* [Introduction to Machine Learning](https://arxiv.org/abs/0904.3664v1) - Amnon Shashua
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* [Introduction to Machine Learning Systems](https://www.mlsysbook.ai/assets/downloads/Machine-Learning-Systems.pdf) - Vijay Janapa Reddi (PDF)
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* [Keras Succinctly](https://www.syncfusion.com/ebooks/keras-succinctly) - James McCaffrey
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* [Keras Succinctly](https://www.syncfusion.com/ebooks/keras-succinctly) - James McCaffrey
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* [Learn Tensorflow](https://bitbucket.org/hrojas/learn-tensorflow) - Jupyter Notebooks
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* [Learn Tensorflow](https://bitbucket.org/hrojas/learn-tensorflow) - Jupyter Notebooks
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* [Learning Deep Architectures for AI](https://mila.quebec/wp-content/uploads/2019/08/TR1312.pdf) - Yoshua Bengio (PDF)
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* [Learning Deep Architectures for AI](https://mila.quebec/wp-content/uploads/2019/08/TR1312.pdf) - Yoshua Bengio (PDF)
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@@ -450,6 +451,7 @@ Books that cover a specific programming language can be found in the [BY PROGRAM
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* [Neural Network Design (2nd Edition)](https://hagan.okstate.edu/NNDesign.pdf) - Martin T. Hagan, Howard B. Demuth, Mark H. Beale, Orlando De Jesús (PDF)
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* [Neural Network Design (2nd Edition)](https://hagan.okstate.edu/NNDesign.pdf) - Martin T. Hagan, Howard B. Demuth, Mark H. Beale, Orlando De Jesús (PDF)
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* [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com)
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* [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com)
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* [Pattern Recognition and Machine Learning](https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf) - Christopher M. Bishop (PDF)
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* [Pattern Recognition and Machine Learning](https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf) - Christopher M. Bishop (PDF)
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* [Patterns, Predictions, And Actions: A story about machine learning](https://mlstory.org/pdf/patterns.pdf) - Moritz Hardt, Benjamin Recht (PDF)
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* [Practitioners guide to MLOps](https://services.google.com/fh/files/misc/practitioners_guide_to_mlops_whitepaper.pdf) - Khalid Samala, Jarek Kazmierczak, Donna Schut (PDF)
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* [Practitioners guide to MLOps](https://services.google.com/fh/files/misc/practitioners_guide_to_mlops_whitepaper.pdf) - Khalid Samala, Jarek Kazmierczak, Donna Schut (PDF)
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* [Probabilistic Machine Learning - An Introduction](https://github.com/probml/pml-book/releases/latest/download/book1.pdf) - Kevin P. Murphy (PDF)
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* [Probabilistic Machine Learning - An Introduction](https://github.com/probml/pml-book/releases/latest/download/book1.pdf) - Kevin P. Murphy (PDF)
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* [Probabilistic Models in the Study of Language](https://idiom.ucsd.edu/~rlevy/pmsl_textbook/text.html) (Draft, with R code)
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* [Probabilistic Models in the Study of Language](https://idiom.ucsd.edu/~rlevy/pmsl_textbook/text.html) (Draft, with R code)
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@@ -442,7 +442,6 @@
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* [NPTEL-CloudComputing](https://www.youtube.com/playlist?list=PLShJJCRzJWxhz7SfG4hpaBD5bKOloWx9J) - Manish Narula
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* [NPTEL-CloudComputing](https://www.youtube.com/playlist?list=PLShJJCRzJWxhz7SfG4hpaBD5bKOloWx9J) - Manish Narula
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#### AWS
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#### AWS
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* [AWS Certified Cloud Practitioner Course (2020-2023)](https://www.youtube.com/playlist?list=PLt1SIbA8guuvfvUDVLpJepmbnYpOfYCIB) - Stephane Maarek
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* [AWS Certified Cloud Practitioner Course (2020-2023)](https://www.youtube.com/playlist?list=PLt1SIbA8guuvfvUDVLpJepmbnYpOfYCIB) - Stephane Maarek
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@@ -646,12 +645,15 @@
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* [Neuromatch Academy: Deep Learning](https://deeplearning.neuromatch.io/tutorials/intro.html) - Neuromatch Academy
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* [Neuromatch Academy: Deep Learning](https://deeplearning.neuromatch.io/tutorials/intro.html) - Neuromatch Academy
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* [NYU Deep Learning SP21](https://www.youtube.com/playlist?list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI) Alfredo Canziani
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* [NYU Deep Learning SP21](https://www.youtube.com/playlist?list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI) Alfredo Canziani
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* [NYU Deep Learning SP22](https://www.youtube.com/playlist?list=PLLHTzKZzVU9f3kmEta5dlkMXgtD1LxHzT) - Alfredo Canziani
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* [NYU Deep Learning SP22](https://www.youtube.com/playlist?list=PLLHTzKZzVU9f3kmEta5dlkMXgtD1LxHzT) - Alfredo Canziani
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* [OpenCV Bootcamp](https://opencv.org/university/free-opencv-course/) - OpenCV University
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* [Practical Deep Learning For Coders taught](http://www.fast.ai) - Jeremy Howard
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* [Practical Deep Learning For Coders taught](http://www.fast.ai) - Jeremy Howard
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* [Practical Deep Learning for Coders, v3 (using fastai library)](https://course.fast.ai)
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* [Practical Deep Learning for Coders, v3 (using fastai library)](https://course.fast.ai)
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* [PyTorch Bootcamp](https://opencv.org/university/free-pytorch-course/) - OpenCV University
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* [Recurrent Neural Network](https://www.youtube.com/playlist?list=PLuhqtP7jdD8ARBnzj8SZwNFhwWT89fAFr) - Coding Lane
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* [Recurrent Neural Network](https://www.youtube.com/playlist?list=PLuhqtP7jdD8ARBnzj8SZwNFhwWT89fAFr) - Coding Lane
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* [Self-Paced Courses for Deep Learning](https://developer.nvidia.com/deep-learning-courses)
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* [Self-Paced Courses for Deep Learning](https://developer.nvidia.com/deep-learning-courses)
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* [Stanford CS 224N: Natural Language Processing with Deep Learning](https://www.youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ) (Stanford Online)
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* [Stanford CS 224N: Natural Language Processing with Deep Learning](https://www.youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ) (Stanford Online)
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* [Stanford CS230: Deep Learning](https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb) (Stanford Online)
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* [Stanford CS230: Deep Learning](https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb) (Stanford Online)
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* [TensorFlow Bootcamp](https://opencv.org/university/free-tensorflow-keras-course/) - OpenCV University
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* [Unsupervised Feature Learning and Deep Learning](http://deeplearning.stanford.edu/tutorial)
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* [Unsupervised Feature Learning and Deep Learning](http://deeplearning.stanford.edu/tutorial)
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@@ -1561,6 +1563,7 @@
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* [Python Course from scratch](https://scrimba.com/playlist/pNpZMAB) - Olaf Paulson (scrimba)
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* [Python Course from scratch](https://scrimba.com/playlist/pNpZMAB) - Olaf Paulson (scrimba)
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* [Python Data Analysis](https://www.coursera.org/learn/python-analysis) - Scott Rixner, Joe Warren (Coursera)
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* [Python Data Analysis](https://www.coursera.org/learn/python-analysis) - Scott Rixner, Joe Warren (Coursera)
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* [Python for Beginners](https://alison.com/course/python-for-beginners) - Merul Dhiman (Alison)
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* [Python for Beginners](https://alison.com/course/python-for-beginners) - Merul Dhiman (Alison)
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* [Python for Beginners](https://opencv.org/university/python-for-beginners/) - OpenCV University
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* [Python for Beginners](https://www.youtube.com/playlist?list=PLUaB-1hjhk8GHKfndKjyDMHPg_HlQ4vpK) - Alex The Analyst
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* [Python for Beginners](https://www.youtube.com/playlist?list=PLUaB-1hjhk8GHKfndKjyDMHPg_HlQ4vpK) - Alex The Analyst
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* [Python for Beginners (Full Course)](https://www.youtube.com/playlist?list=PLsyeobzWxl7poL9JTVyndKe62ieoN-MZ3) - Telusko
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* [Python for Beginners (Full Course)](https://www.youtube.com/playlist?list=PLsyeobzWxl7poL9JTVyndKe62ieoN-MZ3) - Telusko
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* [Python for Data Science, AI & Development](https://www.coursera.org/learn/python-for-applied-data-science-ai) - Joseph Santarcangelo (Coursera)
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* [Python for Data Science, AI & Development](https://www.coursera.org/learn/python-for-applied-data-science-ai) - Joseph Santarcangelo (Coursera)
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@@ -418,6 +418,11 @@
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### SQL
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### SQL
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* [Extends Class](https://extendsclass.com/sqlite-browser.html)
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* [Extends Class](https://extendsclass.com/sqlite-browser.html)
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* [Online SQL Editor](https://www.programiz.com/sql/online-compiler) - Programiz
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* [Online SQL Editor](https://www.tutorialspoint.com/compilers/online-sql-editor.htm) - Tutorialspoint
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* [Oracle Live SQL](https://livesql.oracle.com)
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* [Practice SQL](https://www.sql-practice.com)
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* [SQL Server Online Editor & Compiler](https://onecompiler.com/sqlserver) - OneCompiler
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* [SQLFiddle](http://sqlfiddle.com)
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* [SQLFiddle](http://sqlfiddle.com)
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* [SQLite Online](https://sqliteonline.com)
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* [SQLite Online](https://sqliteonline.com)
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@@ -459,4 +464,3 @@
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* [Vim Adventure](https://vim-adventures.com) - Doron Linder
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* [Vim Adventure](https://vim-adventures.com) - Doron Linder
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* [Vim Genius](http://vimgenius.com) - Vic Ramon, Rye Mason
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* [Vim Genius](http://vimgenius.com) - Vic Ramon, Rye Mason
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@@ -81,6 +81,7 @@
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* [AIcrowd](https://www.aicrowd.com)
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* [AIcrowd](https://www.aicrowd.com)
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* [CodaLab](https://codalab.lisn.upsaclay.fr)
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* [CodaLab](https://codalab.lisn.upsaclay.fr)
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* [CrowdANALYTIX](https://www.crowdanalytix.com/community)
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* [CrowdANALYTIX](https://www.crowdanalytix.com/community)
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* [Deep-ML](https://www.deep-ml.com/problems)
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* [DrivenData](https://www.drivendata.org)
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* [DrivenData](https://www.drivendata.org)
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* [Kaggle](https://www.kaggle.com)
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* [Kaggle](https://www.kaggle.com)
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* [Zindi](https://zindi.africa)
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* [Zindi](https://zindi.africa)
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