From fe3425c9b995fe511c57b7a077a28220529416cc Mon Sep 17 00:00:00 2001 From: Hua Peichun Date: Fri, 14 Jun 2024 02:30:10 +0800 Subject: [PATCH 1/8] Update UCB CS188 (Intro to AI), UofU Machine Learning to the newest public version; add UofU NLP (SP24), Data Mining (SP20/23), Umich Deep Learning for CV(FA19) (#330) --- README.md | 22 ++++++++++++++++++---- 1 file changed, 18 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 50de6c9..09e8941 100755 --- a/README.md +++ b/README.md @@ -314,7 +314,7 @@ Table of Contents ### Artificial Intelligence - [CS50 - Introduction to Artificial Intelligence with Python (and Machine Learning), Harvard OCW](https://cs50.harvard.edu/ai/2023/) -- [CS 188 - Introduction to Artificial Intelligence, UC Berkeley - Spring 2015](http://www.infocobuild.com/education/audio-video-courses/computer-science/cs188-spring2015-berkeley.html) +- [CS 188 - Introduction to Artificial Intelligence, UC Berkeley - Spring 2023](https://inst.eecs.berkeley.edu/~cs188/sp23/) ([Youtube](https://www.youtube.com/playlist?list=PLp8QV47qJEg7WWVg_5eOECzVPpy23UjJz)) - [6.034 Artificial Intelligence, MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/lecture-videos/) - [CS221: Artificial Intelligence: Principles and Techniques - Autumn 2019 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rO1NB9TD4iUZ3qghGEGtqNX) - [15-780 - Graduate Artificial Intelligence, Spring 14, CMU](http://www.cs.cmu.edu/~zkolter/course/15-780-s14/lectures.html) @@ -368,7 +368,7 @@ Table of Contents - [CS4780/5780 Machine Learning, Fall 2013 - Cornell University](http://www.cs.cornell.edu/courses/cs4780/2013fa/) - [CS4780/5780 Machine Learning, Fall 2018 - Cornell University](http://www.cs.cornell.edu/courses/cs4780/2018fa/page18/index.html) ([Youtube](https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS)) - [CSE474/574 Introduction to Machine Learning - SUNY University at Buffalo](https://www.youtube.com/playlist?list=PLEQDy5tl3xkMzk_zlo2DPzXteCquHA8bQ) - - [CS 5350/6350 - Machine Learning, Fall 2016, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCozRSsdueVwX7CF9N4QWL0B) + - [CS 5350/6350 - Machine Learning, Spring 2024, University of Utah](https://svivek.com/teaching/machine-learning/spring2024/) ([Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCr-ANNi5GZid3MvSkzm_wnM)) - [ECE 5984 Introduction to Machine Learning, Spring 2015 - Virginia Tech](https://filebox.ece.vt.edu/~s15ece5984/) - [CSx824/ECEx242 Machine Learning, Bert Huang, Fall 2015 - Virginia Tech](https://www.youtube.com/playlist?list=PLUenpfvlyoa0rMoE5nXA8kdctBKE9eSob) - [STA 4273H - Large Scale Machine Learning, Winter 2015 - University of Toronto](http://www.cs.toronto.edu/~rsalakhu/STA4273_2015/lectures.html) @@ -447,9 +447,11 @@ Table of Contents - [CS 229r - Algorithms for Big Data, Harvard University](http://people.seas.harvard.edu/~minilek/cs229r/fall15/lec.html) ([Youtube](https://www.youtube.com/playlist?list=PL2SOU6wwxB0v1kQTpqpuu5kEJo2i-iUyf)) - [Algorithms for Big Data - IIT Madras](https://nptel.ac.in/courses/106106142/) - [Python Data Science with the TCLab](https://github.com/APMonitor/data_science) ([YouTube](https://www.youtube.com/watch?v=pAgW_bZVo88&list=PLLBUgWXdTBDg1Qgmwt4jKtVn9BWh5-zgy)) + - #### **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)) + - [CS 5140/6140 - Data Mining, Spring 2020, University of Utah by Prof. Jeff Phillips](https://users.cs.utah.edu/~jeffp/teaching/cs5140-S20/cs5140.html) ([Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCrEf65zrd3J1UG3LT6TcDlt)) + - [CS 5140/6140 - Data Mining, Spring 2023, University of Utah by Prof. Ana Marasović](https://utah-data-mining-spring23.github.io/) ([Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCrnLNqZPnTuG_s19TNDoad0)) - [CS 5955/6955 - Data Mining, University of Utah](http://www.cs.utah.edu/~jeffp/teaching/cs5955.html) ([YouTube](https://www.youtube.com/channel/UCcrlwW88yMcXujhGjSP2WBg/videos)) - [Statistics 202 - Statistical Aspects of Data Mining, Summer 2007 - Google](http://www.stats202.com/original_index.html) ([YouTube](https://www.youtube.com/playlist?list=PLFE776F2C513A744E)) - [MOOC - Text Mining and Analytics by ChengXiang Zhai](https://www.youtube.com/playlist?list=PLLssT5z_DsK8Xwnh_0bjN4KNT81bekvtt) @@ -461,6 +463,7 @@ Table of Contents - [Information Retrieval - Spring 2018 - ETH Zurich](https://www.youtube.com/playlist?list=PLzn6LN6WhlN1ktkDvNurPSDwTQ_oGQisn) - [CAP6673 - Data Mining and Machine Learning - FAU](http://www.cse.fau.edu/~taghi/classes/cap6673/)([Video lectures](https://vimeo.com/album/1505953)) - [Data Warehousing and Data Mining Techniques - Technische Universität Braunschweig, Germany](http://www.ifis.cs.tu-bs.de/teaching/ws-1617/dwh) + - #### **Probabilistic Graphical Modeling** - [MOOC - Probabilistic Graphical Models - Coursera](https://www.youtube.com/playlist?list=PLvfF4UFg6Ejj6SX-ffw-O4--SPbB9P7eP) - [CS 6190 - Probabilistic Modeling, Spring 2016, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCpvxdF-Gy3gwaBObx7AnQut) @@ -469,6 +472,7 @@ Table of Contents - [Probabilistic Models - UNIVERSITY OF HELSINKI](https://www.cs.helsinki.fi/en/courses/582636/2015/K/K/1) - [Probabilistic Modelling and Reasoning 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/pmr.htm) - [Probabilistic Graphical Models, Spring 2018 - Notre Dame](https://www.youtube.com/playlist?list=PLd-PuDzW85AcV4bgdu7wHPL37hm60W4RM) + - #### **Deep Learning** - [Full Stack Deep Learning - Course 2022](https://www.youtube.com/watch?v=-Iob-FW5jVM&list=PL1T8fO7ArWleMMI8KPJ_5D5XSlovTW_Ur) - [Full Stack Deep Learning - Course 2021](https://www.youtube.com/watch?v=fGxWfEuUu0w&list=PL1T8fO7ArWlcWg04OgNiJy91PywMKT2lv) @@ -514,6 +518,7 @@ Table of Contents - [UT Austin CS 394D Deep Learning fall 2021, by Philipp KrahenBühl](https://www.youtube.com/playlist?list=PL682UO4IMem_B72vmX4r0v3UrAjPRFAnE) - [CMU 10 417 / 10 617 Intermediate Deep Learning fall 2022, by Ruslan Salakhutdinov](https://www.youtube.com/playlist?list=PL682UO4IMem8A3WUecf30olVT--FhRK7h) - [CS294 Deep Unsupervised Learning Spring 2024](https://sites.google.com/view/berkeley-cs294-158-sp24/home) + - #### **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) @@ -536,6 +541,7 @@ Table of Contents - [CMU 10 703 Deep Reinforcement Learning & Control fall 2022, by Katerina Fragkiadaki](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22ee5794a2-cb54-4edc-836b-aefc01023243%22) - [ECE524 Foundations of Reinforcement Learning at Princeton University, Spring 2024](https://www.youtube.com/playlist?list=PLYXvCE1En13epbogBmgafC_Yyyk9oQogl) - [REINFORCEMENT LEARNING AND OPTIMAL CONTROL - Dimitri P. Bertsekas, ASU](https://web.mit.edu/dimitrib/www/RLbook.html) + - #### **Advanced Machine Learning** - [Advanced Machine Learning, 2021-2022, Sem I - by Prof. Madhavan Mukund, CMI](https://www.cmi.ac.in/~madhavan/courses/aml2021) - [18.409 Algorithmic Aspects of Machine Learning Spring 2015 - MIT](https://www.youtube.com/playlist?list=PLB3sDpSRdrOvI1hYXNsa6Lety7K8FhPpx) @@ -543,12 +549,14 @@ Table of Contents - [Stanford CS330: Deep Multi-Task and Meta Learning I Autumn 2022](https://www.youtube.com/playlist?list=PLoROMvodv4rNjRoawgt72BBNwL2V7doGI) - [ES 661 (2023): Probabilistic Machine Learning - IIT Gandhinagar](https://www.youtube.com/playlist?list=PLftoLyLEwECBEJyfRBJoSBd0UaTjEcs3I) - [Information Retrieval in High Dimensional Data](https://www.youtube.com/playlist?list=PLaE1lKCe0jH3ePp9wCU1ygTquVOXY-UYv) + - #### **Natural Language Processing** - [CS 224N -Natural Language Processing with Deep Learning - Stanford University](http://web.stanford.edu/class/cs224n/) ([Lectures - Winter 2019](https://youtube.com/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z)) ([Lectures - Winter 2021](https://youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ)) - [CS 224N - Natural Language Processing, Stanford University](https://web.stanford.edu/~jurafsky/NLPCourseraSlides.html) ([Lecture videos](https://academictorrents.com/details/d2c8f8f1651740520b7dfab23438d89bc8c0c0ab)) - [Stanford XCS224U: Natural Language Understanding I Spring 2023](https://www.youtube.com/playlist?list=PLoROMvodv4rOwvldxftJTmoR3kRcWkJBp) - [CS388: Natural Language Processing - UT Austin](https://www.cs.utexas.edu/~gdurrett/courses/online-course/materials.html) - [CS 124 - From Languages to Information - Stanford University](https://www.youtube.com/channel/UC_48v322owNVtORXuMeRmpA/playlists?view=50&sort=dd&shelf_id=2) + - [CS 6340/5340 - Natural Language Processing - University of Utah - Spring 2024](https://utah-intro-nlp.github.io/) ([Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCrPZ4Vc-GRnk730SLhC1L43)) - [Neural Networks: Zero to Hero - Andrej Karpathy](https://karpathy.ai/zero-to-hero.html) - [fast.ai Code-First Intro to Natural Language Processing](https://www.youtube.com/playlist?list=PLtmWHNX-gukKocXQOkQjuVxglSDYWsSh9) ([Github](https://github.com/fastai/course-nlp)) - [MOOC - Natural Language Processing - Coursera, University of Michigan](https://www.youtube.com/playlist?list=PLLssT5z_DsK8BdawOVCCaTCO99Ya58ryR) @@ -566,9 +574,11 @@ Table of Contents - [Stanford CS25 - Transformers United 2023](https://www.youtube.com/playlist?list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CM) - [Natural Language Processing (IN2361) - TUM](https://live.rbg.tum.de/?year=2019&term=W&slug=nlp&view=3) - [CS 886: Recent Advances on Foundation Models Winter 2024 - University of Waterloo](https://cs.uwaterloo.ca/~wenhuche/teaching/cs886/) + - #### **Generative AI** - [Stanford CS236: Deep Generative Models I 2023 I Stefano Ermon](https://www.youtube.com/playlist?list=PLoROMvodv4rPOWA-omMM6STXaWW4FvJT8) - [CS 6785 - Deep Generative Models - Cornell Tech, Spring 2023)](https://www.youtube.com/playlist?list=PL2UML_KCiC0UPzjW9BjO-IW6dqliu9O4B) + - #### **Computer Vision** - [CS 231n - Convolutional Neural Networks for Visual Recognition, Stanford University](https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv) - [CS 198-126: Modern Computer Vision Fall 2022 (UC Berkeley)](https://www.youtube.com/playlist?list=PLzWRmD0Vi2KVsrCqA4VnztE4t71KnTnP5) @@ -578,10 +588,13 @@ Table of Contents - [Computational Cognitive Science 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/ccs.htm) - [NOC:Deep Learning For Visual Computing - IIT Kharagpur](https://nptel.ac.in/courses/108/105/108105103/) - [Deep Learning for Computer Vision - University of Michigan](https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r) - - [ Extreme Classification ](https://www.youtube.com/watch?v=v0rAVyF4rWA&list=PLXtAHOcKKDTk43wjXud9GQS-l-QA5DQxH&pp=iAQB) + - [Extreme Classification ](https://www.youtube.com/watch?v=v0rAVyF4rWA&list=PLXtAHOcKKDTk43wjXud9GQS-l-QA5DQxH&pp=iAQB) + - [EECS 498/598 - Deep Learning for Computer Vision - University of Michigan - Fall 2019](https://web.eecs.umich.edu/~justincj/teaching/eecs498/FA2019/) ([Youtube](https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r)) + - #### **Time Series Analysis** - [02417 Time Series Analysis](https://www.youtube.com/playlist?list=PLtiTxpFJ4k6TZ0g496fVcQpt_-XJRNkbi) - [Applied Time Series Analysis](https://www.youtube.com/playlist?list=PLl0FT6O_WWDBm-4W-eoK34omYmEMseQDX) + - #### **Optimization** - [Optimisation for Machine Learning: Theory and Implementation (Hindi) - IIT](https://www.youtube.com/playlist?list=PLyqSpQzTE6M-pmLzCoMu_ANU6atEFyyJl) - [EE364a: Convex Optimization I - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rMJqxxviPa4AmDClvcbHi6h) @@ -590,6 +603,7 @@ Table of Contents - [10-725 Optimization Fall 2012 - CMU](http://www.cs.cmu.edu/~ggordon/10725-F12/schedule.html) - [10-801 Advanced Optimization and Randomized Methods - CMU](http://www.cs.cmu.edu/~suvrit/teach/aopt.html) ([YouTube](https://www.youtube.com/playlist?list=PLjTcdlvIS6cjdA8WVXNIk56X_SjICxt0d)) - [AM 207 - Stochastic Methods for Data Analysis, Inference and Optimization, Harvard University](http://am207.github.io/2016/index.html) + - #### **Misc Machine Learning Topics** - [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) From 526f9f2c8d560167032b9d1b4530793b5da73cbc Mon Sep 17 00:00:00 2001 From: Utayaki Date: Thu, 13 Jun 2024 21:31:13 +0300 Subject: [PATCH 2/8] Added one Deep Learning Course (#333) Co-authored-by: Developer-Y --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 09e8941..abd6b13 100755 --- a/README.md +++ b/README.md @@ -518,6 +518,7 @@ Table of Contents - [UT Austin CS 394D Deep Learning fall 2021, by Philipp KrahenBühl](https://www.youtube.com/playlist?list=PL682UO4IMem_B72vmX4r0v3UrAjPRFAnE) - [CMU 10 417 / 10 617 Intermediate Deep Learning fall 2022, by Ruslan Salakhutdinov](https://www.youtube.com/playlist?list=PL682UO4IMem8A3WUecf30olVT--FhRK7h) - [CS294 Deep Unsupervised Learning Spring 2024](https://sites.google.com/view/berkeley-cs294-158-sp24/home) + - [Applied Deep Learning Maziar Raissi](https://www.youtube.com/playlist?list=PLoEMreTa9CNmuxQeIKWaz7AVFd_ZeAcy4) - #### **Reinforcement Learning** - [CS234: Reinforcement Learning - Winter 2019 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u) From 2c563a46cb8675e376a2f1da9769b8ca32ae9a8e Mon Sep 17 00:00:00 2001 From: Developer-Y Date: Fri, 14 Jun 2024 00:10:59 +0530 Subject: [PATCH 3/8] DL + Math courses --- README.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/README.md b/README.md index abd6b13..98b4a5a 100755 --- a/README.md +++ b/README.md @@ -519,6 +519,8 @@ Table of Contents - [CMU 10 417 / 10 617 Intermediate Deep Learning fall 2022, by Ruslan Salakhutdinov](https://www.youtube.com/playlist?list=PL682UO4IMem8A3WUecf30olVT--FhRK7h) - [CS294 Deep Unsupervised Learning Spring 2024](https://sites.google.com/view/berkeley-cs294-158-sp24/home) - [Applied Deep Learning Maziar Raissi](https://www.youtube.com/playlist?list=PLoEMreTa9CNmuxQeIKWaz7AVFd_ZeAcy4) + - [STATS 385 Analysis of Deep Learning - Stanford](https://www.youtube.com/playlist?list=PL682UO4IMem-dTd5O5SOj-J723BcA-CAw) + - [STATS 385 Theories of Deep Learning - Stanford](https://www.youtube.com/playlist?list=PL682UO4IMem-nYDzn1qQbq_ql3G9DDebS) - #### **Reinforcement Learning** - [CS234: Reinforcement Learning - Winter 2019 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u) @@ -721,6 +723,7 @@ Table of Contents - [Cambridge Principles of Statistics 2020, by Alberto J. Coca](https://www.youtube.com/playlist?list=PLn1JSlh3WT_YBwXFUfRAb1ZOXnPYDgVNa) - [UC Berkeley STAT 150 Stochastic Processes spring 2021, by Brett Kolesnik](https://www.youtube.com/playlist?list=PL682UO4IMem_H6exlt8NMfBSc0137_wlo) - [UIUC Math 564 Applied Stochastic Processes fall 2016, by Kay Kirkpatrick](https://www.youtube.com/playlist?list=PL682UO4IMem-5C_U0ml6O2kM1s1Yo-D9D) + - [CS/ECE 561 - Probability and Info Theory in Machine Learning](https://mediaspace.wisc.edu/channel/CS_ECE%2B561%2B-%2BProbability%2Band%2BInfo%2BTheory%2Bin%2BMachine%2BLearning/191748913) - **Linear Algebra** - [Mathematical Foundations of Machine Learning (Fall 2021) - University of Chicago - Rebecca Willett](https://willett.psd.uchicago.edu/teaching/mathematical-foundations-of-machine-learning-fall-2021/) - [18.06 - Linear Algebra, Prof. Gilbert Strang, MIT OCW](https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/) @@ -765,6 +768,8 @@ Table of Contents - [Short Course on Casual Inference, by Sanjay Shakkottai](https://www.youtube.com/playlist?list=PLcip-Gs_jEK_l2pNG8V_0UDK9jyPtLyuq) - [UCLA STAT 100C Linear Models spring 2023, by Arash Amini](https://www.youtube.com/playlist?list=PLN_qg0-2-0SzrzpEoojAa4anJdaKa49GM) - [MSU Math for Computing](https://www.youtube.com/playlist?list=PLZ-krWGO-UEyLqtyA2pACX_tXXBTLWkI1) +- [Mathematics of Data Science - ETH Zurich](https://www.youtube.com/playlist?list=PLiud-28tsatIKUitdoH3EEUZL-9i516IL) + ------------------------------ From 73ba466124c2541f47a55412cda4c6f5fd6709fc Mon Sep 17 00:00:00 2001 From: qkenn <142801011+qkenn@users.noreply.github.com> Date: Mon, 17 Jun 2024 01:44:38 +0530 Subject: [PATCH 4/8] Add CS50R (#334) --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 98b4a5a..a9fe2d9 100755 --- a/README.md +++ b/README.md @@ -72,6 +72,7 @@ Table of Contents - [6.001 - Structure and Interpretation of Computer Programs, MIT](https://ocw.mit.edu/courses/6-001-structure-and-interpretation-of-computer-programs-spring-2005/video_galleries/video-lectures/) - [Introduction to Computational Thinking - MIT](https://computationalthinking.mit.edu/Fall22/) - [CS 50 - Introduction to Computer Science, Harvard University](https://online-learning.harvard.edu/course/cs50-introduction-computer-science) ([cs50.tv](http://cs50.tv/2017/fall/)) +- [CS50R - Introduction to Programming with R](https://cs50.harvard.edu/r/2024/) ([Lecture Videos](https://www.youtube.com/playlist?list=PLhQjrBD2T382yfNp_-xzX244d-O9W6YmD)) - [CS 61A - Structure and Interpretation of Computer Programs [Python], UC Berkeley](https://cs61a.org/) - [CPSC 110 - Systematic Program Design [Racket], University of British Columbia](https://www.youtube.com/channel/UC7dEjIUwSxSNcW4PqNRQW8w/playlists?view=1&flow=grid&sort=da) - [CS50's Understanding Technology](https://www.youtube.com/playlist?list=PLhQjrBD2T382p8amnvUp1rws1p7n7gJ2p) From 638e312d279df78a3d642e625e46f83a056c2f60 Mon Sep 17 00:00:00 2001 From: qkenn <142801011+qkenn@users.noreply.github.com> Date: Sun, 30 Jun 2024 12:26:09 +0530 Subject: [PATCH 5/8] Replaced CS144 video lectures link (#336) * Add CS50R * Replace link --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a9fe2d9..0f43991 100755 --- a/README.md +++ b/README.md @@ -645,7 +645,7 @@ Table of Contents ### Computer Networks -- [CS 144 Introduction to Computer Networking - Stanford University, Fall 2013](http://www.scs.stanford.edu/10au-cs144/) ([Lecture videos](https://www.youtube.com/playlist?list=PLvFG2xYBrYAQCyz4Wx3NPoYJOFjvU7g2Z)) +- [CS 144 Introduction to Computer Networking - Stanford University, Fall 2013](http://www.scs.stanford.edu/10au-cs144/) ([Lecture videos](https://www.youtube.com/playlist?list=PL6RdenZrxrw9inR-IJv-erlOKRHjymxMN)) - [Computer Networking: A Top-Down Approach](https://www.youtube.com/playlist?list=PLm556dMNleHc1MWN5BX9B2XkwkNE2Djiu) - [Computer Communication Networks, Rensselaer Polytechnic Institute - Fall 2001](https://www.ecse.rpi.edu/Homepages/koushik/shivkuma-teaching/video_index.html) ([Videos](https://www.ecse.rpi.edu/Homepages/koushik/shivkuma-teaching/video_index.html#ccn_video)) ([Slides](https://www.ecse.rpi.edu/Homepages/koushik/shivkuma-teaching/video_index.html#ccn_foils)) - [Audio/Video Recordings and Podcasts of Professor Raj Jain's Lectures - Washington University in St. Louis](http://www.cse.wustl.edu/~jain/videos.htm) ([YouTube](https://www.youtube.com/user/ProfRajJain/playlists)) From 80d74d54cb5d875fe2372caa046c48c84b031645 Mon Sep 17 00:00:00 2001 From: love25nov Date: Sun, 30 Jun 2024 08:56:33 +0200 Subject: [PATCH 6/8] Add MAT123 Introduction to Calculus course (Fall 2015) from Stony Brook (#337) --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 0f43991..3f35aea 100755 --- a/README.md +++ b/README.md @@ -679,6 +679,7 @@ Table of Contents - [18.02 Multivariable Calculus, Fall 2007 - MIT OCW](https://ocw.mit.edu/courses/mathematics/18-02-multivariable-calculus-fall-2007/) - [18.03 Differential Equations, Spring 2010 - MIT OCW](https://ocw.mit.edu/courses/mathematics/18-03-differential-equations-spring-2010/) - [Highlights of Calculus - Gilbert Strang, MIT OCW](https://ocw.mit.edu/resources/res-18-005-highlights-of-calculus-spring-2010/) + - [MAT123 Introduction to Calculus (Fall 2015) - Stony Brook](https://www.math.stonybrook.edu/~scott/mat123.fall15/) - [Vector Calculus for Engineers - HKUST](https://www.youtube.com/playlist?list=PLkZjai-2JcxnYmkg6fpzz4WFumGVl7MOa) - **Discrete Math** - [6.042J - Mathematics for Computer Science, MIT OCW](https://ocw.mit.edu/courses/6-042j-mathematics-for-computer-science-fall-2010/video_galleries/video-lectures/) From 49fae7262f0a451fb84e0eb3ce11c76cd3424d21 Mon Sep 17 00:00:00 2001 From: m229abd <79043904+m229abd@users.noreply.github.com> Date: Sun, 30 Jun 2024 10:26:46 +0330 Subject: [PATCH 7/8] Added CMU 17-445 (#338) --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 3f35aea..09959fd 100755 --- a/README.md +++ b/README.md @@ -281,6 +281,7 @@ Table of Contents - [Software Testing - Udacity, course-cs258 | 2015](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) - [Software Debugging - Udacity, course-cs259 | 2015](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkxK63TiT88oEe-AIBhr96A) - [Software Engineering - Bauhaus-Uni Weimar](https://www.youtube.com/watch?v=jouBM4AH0jw&list=PLjEglKdMOevU2STTGq79duxTXDFuO-k1H&index=2) + - [CMU 17-445 Software Engineering for AI-Enabled Systems summer 2020, by Christian Kaestner](https://www.youtube.com/playlist?list=PLDS2JMJnJzdkQPdkhcuwcbJpjB84g9ffX) - #### **Software Architecture** - [CS 411 - Software Architecture Design - Bilkent University](http://video.bilkent.edu.tr/course_videos.php?courseid=10) - [MOOC - Software Architecture & Design - Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkMTetlG7xKWaI5ZAZFX8fL) From ec532ff64c8d2b680844f6cf3e9b9932c736e6b2 Mon Sep 17 00:00:00 2001 From: Developer-Y Date: Sun, 30 Jun 2024 12:57:12 +0530 Subject: [PATCH 8/8] Computational Physics --- README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.md b/README.md index 09959fd..7f21734 100755 --- a/README.md +++ b/README.md @@ -1056,6 +1056,9 @@ Table of Contents - [Computational Astrophysics - AstroTwinCoLo, 2015](https://www.youtube.com/playlist?list=PLPdkBLbDPtqoHDcjUweIJqe6GKnOz0-Qw) - [Astroinformatics 2019 Conference - Caltech](https://m.youtube.com/playlist?list=PL8_xPU5epJdcv2L4MzpzNd6gPyq6glmjc) - [Space Science with Python - Astroniz](https://www.youtube.com/playlist?list=PLNvIBWkEdZ2iCc8G9dvx6MQvBruJG-TE8) +- [Computational Physics Course in Python, Rutgers 2021](https://www.youtube.com/playlist?list=PLXmUYdQdC9IGv61Y1lhGBH0NsDQRdwcJE) +- [Landau Computational Physics Course](https://www.youtube.com/playlist?list=PLnWQ_pnPVzmJnp794rQXIcwJIjwy7Nb2U) +- [Statistical Methods and Machine Learning in High Energy Physics](https://www.youtube.com/playlist?list=PL04QVxpjcnjjKDki5FHlKQ8839TGHvj8y) ------------------------------ ### Computational Biology