diff --git a/README.md b/README.md index e27e973..5a5ab53 100755 --- a/README.md +++ b/README.md @@ -30,6 +30,7 @@ Table of Contents - [Security](#security) - [Computer Graphics](#computer-graphics) - [Image Processing and Computer Vision](#image-processing-and-computer-vision) +- [Computational Physics](#computational-physics) - [Computational Biology](#computational-biology) - [Quantum Computing](#quantum-computing) - [Robotics](#robotics) @@ -296,6 +297,9 @@ Table of Contents - [10-601 Machine Learning | CMU | Fall 2017](https://www.youtube.com/playlist?list=PL7k0r4t5c10-g7CWCnHfZOAxLaiNinChk) - [10-701 - Introduction to Machine Learning (PhD) - Tom Mitchell, Spring 2011, CMU](http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml) ([Fall 2014](https://www.youtube.com/playlist?list=PL7y-1rk2cCsDZCVz2xS7LrExqidHpJM3B)) ([Spring 2015 by Alex Smola](https://www.youtube.com/playlist?list=PLZSO_6-bSqHTTV7w9u7grTXBHMH-mw3qn)) - [10 - 301/601 - Introduction to Machine Learning - Spring 2020 - CMU](https://www.youtube.com/playlist?list=PLpqQKYIU-snAPM89YPPwyQ9xdaiAdoouk) + - [6.036 - Machine Learning, Broderick - MIT Fall 2020](https://www.youtube.com/playlist?list=PLxC_ffO4q_rW0bqQB80_vcQB09HOA3ClV) + - [Applied Machine Learning (Cornell Tech CS 5787, Fall 2020)](https://www.youtube.com/playlist?list=PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83) + - [Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)](https://www.youtube.com/playlist?list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh) - [CMS 165 Foundations of Machine Learning and Statistical Inference - 2020 - Caltech](https://www.youtube.com/playlist?list=PLVNifWxslHCDlbyitaLLYBOAEPbmF1AHg) - [Microsoft Research - Machine Learning Course](https://www.youtube.com/playlist?list=PL34iyE0uXtxo7vPXGFkmm6KbgZQwjf9Kf) - [CS 446 - Machine Learning, Spring 2019, UIUC](https://courses.engr.illinois.edu/cs446/sp2019/AGS/_site/) ([Fall 2016 Lectures](https://www.youtube.com/playlist?list=PLQcasX5-oG91TgY6A_gz-IW7YSpwdnD2O)) @@ -343,6 +347,9 @@ Table of Contents - [ORIE 4741/5741: Learning with Big Messy Data - Cornell](https://people.orie.cornell.edu/mru8/orie4741/lectures.html) - [Machine Learning in IoT](https://www.youtube.com/playlist?list=PLeZoXD_TLsLbW_ILvL9TlhBYdW8wJyON-) - [Stanford CS229M: Machine Learning Theory - Fall 2021](https://www.youtube.com/playlist?list=PLoROMvodv4rP8nAmISxFINlGKSK4rbLKh) + - [Intro to Machine Learning and Statistical Pattern Classification - Prof Sebastian Raschka](https://www.youtube.com/playlist?list=PLTKMiZHVd_2KyGirGEvKlniaWeLOHhUF3) + - [CMU's Multimodal Machine Learning course (11-777), Fall 2020](https://www.youtube.com/playlist?list=PL-Fhd_vrvisNup9YQs_TdLW7DQz-lda0G) + - [EE104: Introduction to Machine Learning - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rN_Uy7_wmS051_q1d6akXmK) - **Data Mining** - [CSEP 546, Data Mining - Pedro Domingos, Sp 2016 - University of Washington](https://courses.cs.washington.edu/courses/csep546/16sp/) ([YouTube](https://www.youtube.com/playlist?list=PLTPQEx-31JXgtDaC6-3HxWcp7fq4N8YGr)) - [CS 5140/6140 - Data Mining, Spring 2016, University of Utah](https://www.cs.utah.edu/~jeffp/teaching/cs5140.html) ([Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCpXfb43Wvc7s5fXWzedwTPB)) @@ -382,7 +389,11 @@ Table of Contents - [NYU Deep Learning Spring 2020](https://www.youtube.com/playlist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq) - [NYU Deep Learning Spring 2021](https://www.youtube.com/playlist?list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI) - [6.S191: Introduction to Deep Learning - MIT](http://introtodeeplearning.com/) + - [Intro to Deep Learning and Generative Models Course - Prof Sebastian Raschka](https://www.youtube.com/playlist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51) - [Deep Learning CMU](https://www.youtube.com/channel/UC8hYZGEkI2dDO8scT8C5UQA/videos) + - [CS231n Deep Learning for Computer Vision - Winter 2016 Andrej Karpathy - Stanford University](https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC) + - [Deep Learning: CS 182 Spring 2021](https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A) + - [10-414/714: Deep Learning Systems - CMU](https://dlsyscourse.org/lectures/) ([Youtube](https://www.youtube.com/@deeplearningsystemscourse1116/videos)) - [Part 1: Practical Deep Learning for Coders, v3 - fast.ai](https://course.fast.ai/) - [Part 2: Deep Learning from the Foundations - fast.ai](https://course19.fast.ai/part2) - [Deep learning at Oxford 2015 - Nando de Freitas](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu) @@ -407,6 +418,10 @@ Table of Contents - [Geometric Deep Learning - AMMI](https://www.youtube.com/playlist?list=PLn2-dEmQeTfQ8YVuHBOvAhUlnIPYxkeu3) - [Math for Deep Learning — Andreas Geiger](https://www.youtube.com/playlist?list=PL05umP7R6ij0bo4UtMdzEJ6TiLOqj4ZCm) - [Applied Deep Learning 2022 - TU Wien](https://www.youtube.com/playlist?list=PLNsFwZQ_pkE_QaTwYxoTmmRJHtMXyIAU6) + - [Neural Networks: Zero to Hero - Andrej Karpathy](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ) + - [CIS 522 - Deep Learning - U Penn](https://www.youtube.com/@cis522-deeplearning8/playlists) + - [UVA DEEP LEARNING COURSE](http://uvadlc.github.io/#lecture) + - [Deep Learning (Fall 2020) - Georgia Tech](https://www.youtube.com/playlist?list=PL-fZD610i7yB7gDnPDpFcKpHI9X8z3OQ7) - **Reinforcement Learning** - [CS234: Reinforcement Learning - Winter 2019 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u) - [Introduction to reinforcement learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ) @@ -464,6 +479,7 @@ Table of Contents - [Applied Time Series Analysis](https://www.youtube.com/playlist?list=PLl0FT6O_WWDBm-4W-eoK34omYmEMseQDX) - **Misc Machine Learning Topics** - [EE364a: Convex Optimization I - Stanford University](http://web.stanford.edu/class/ee364a/videos.html) + - [Quantum Machine Learning | 2021 Qiskit Global Summer School](https://www.youtube.com/playlist?list=PLOFEBzvs-VvqJwybFxkTiDzhf5E11p8BI) - [CS 6955 - Clustering, Spring 2015, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCpRvi-qSMCdOwyn4UYoPxTI) - [Info 290 - Analyzing Big Data with Twitter, UC Berkeley school of information](http://blogs.ischool.berkeley.edu/i290-abdt-s12/) ([YouTube](https://www.youtube.com/playlist?list=PLE8C1256A28C1487F)) - [10-725 Convex Optimization, Spring 2015 - CMU](http://www.stat.cmu.edu/~ryantibs/convexopt-S15/) @@ -830,6 +846,14 @@ Table of Contents - [3D Computer Vision - National University of Singapore](https://www.youtube.com/playlist?list=PLxg0CGqViygP47ERvqHw_v7FVnUovJeaz) ------------------------------ +### Computational Physics + +- [Astronomical data analysis using Python 2021 - NRC IUCAA](https://www.youtube.com/playlist?list=PL3jLiVc5sr3P7Uov0VFsEfwPOEG1rF-FO) +- [SPARC Workshop on Machine Learning in Solar Physics and Space Weather - CESSI IISER Kolkata](https://www.youtube.com/playlist?list=PLtxxbMktGS8pjURPBXJTAkClnXVE_ZNni) +- [Computational Astrophysics - AstroTwinCoLo, 2015](https://www.youtube.com/playlist?list=PLPdkBLbDPtqoHDcjUweIJqe6GKnOz0-Qw) + +------------------------------ + ### Computational Biology - [ECS 124 - Foundations of Algorithms for Bioinformatics - Dan Gusfield, UC Davis](http://web.cs.ucdavis.edu/~gusfield/cs124videos/videolist.html) ([YouTube](https://www.youtube.com/playlist?list=PL_w_qWAQZtAbh8bHfzXYpdnVKCGCDmmoL)) @@ -854,6 +878,7 @@ Table of Contents - [Frontiers of Biomedical Engineering with W. Mark Saltzman - Yale](https://www.youtube.com/playlist?list=PL27E877E8206F196B) - [NOC:Computational Systems Biology - IIT Madras](https://nptel.ac.in/courses/102/106/102106068/) - [NOC:BioInformatics:Algorithms and Applications - IIT Madras](https://nptel.ac.in/courses/102/106/102106065/) +- [Data Science and AI for Neuroscience Summer School - Caltech Neuroscience](https://www.youtube.com/playlist?list=PLlPxFwLgTtnfDtq_AO3dd62s33RHtU4bp) ------------------------------