From 7174251605850efec44d487d1320c2372f4305e4 Mon Sep 17 00:00:00 2001 From: EtienneT Date: Wed, 11 Oct 2017 16:38:20 -0400 Subject: [PATCH 01/25] Updated link with new location --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 389633e..8bc2393 100644 --- a/README.md +++ b/README.md @@ -347,7 +347,7 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - [Cross Validation](https://en.wikipedia.org/wiki/Cross-validation_(statistics)) - - [How to use cross-validation in predictive modeling](http://stuartlacy.co.uk/04022016-crossvalidation) + - [How to use cross-validation in predictive modeling](http://stuartlacy.co.uk/2016/02/04/how-to-correctly-use-cross-validation-in-predictive-modelling/) - [Training with Full dataset after CV?](http://stats.stackexchange.com/questions/11602/training-with-the-full-dataset-after-cross-validation) - [Which CV method is best?](http://stats.stackexchange.com/questions/103459/how-do-i-know-which-method-of-cross-validation-is-best) From e30a396e7d8b2e6b7190486766579e8bec11b2f5 Mon Sep 17 00:00:00 2001 From: Dillon Mulroy Date: Tue, 17 Oct 2017 13:56:15 -0400 Subject: [PATCH 02/25] Fix broken genetic algorithms links. The links for 'Simple Implementation of Genetic Algorithms in Python' were broken. --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 82c3a8c..90510ee 100644 --- a/README.md +++ b/README.md @@ -131,7 +131,7 @@ - [Genetic Algorithms Wikipedia Page](https://en.wikipedia.org/wiki/Genetic_algorithm) -- [Simple Implementation of Genetic Algorithms in Python (Part 1)](http://outlace.com/Simple-Genetic-Algorithm-in-15-lines-of-Python/), [Part 2](http://outlace.com/Simple-Genetic-Algorithm-Python-Addendum/) +- [Simple Implementation of Genetic Algorithms in Python (Part 1)](http://outlace.com/miniga.html), [Part 2](http://outlace.com/miniga_addendum.html) - [Genetic Algorithms vs Artificial Neural Networks](http://stackoverflow.com/questions/1402370/when-to-use-genetic-algorithms-vs-when-to-use-neural-networks) From 758f728b8da7f8aadf17d195a2a4842067102e0c Mon Sep 17 00:00:00 2001 From: Gaurav Charnalia Date: Tue, 14 Nov 2017 17:16:49 +0530 Subject: [PATCH 03/25] Update README.md Fix Broken Natural Language Processing Link ( tf-idf explained ) --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 90510ee..a915a16 100644 --- a/README.md +++ b/README.md @@ -707,7 +707,7 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - [Understanding Natural Language with Deep Neural Networks Using Torch](http://devblogs.nvidia.com/parallelforall/understanding-natural-language-deep-neural-networks-using-torch/) -- [tf-idf explained](http://michaelerasm.us/tf-idf-in-10-minutes/) +- [tf-idf explained](http://michaelerasm.us/post/tf-idf-in-10-minutes/) - [Interesting Deep Learning NLP Projects Stanford](http://cs224d.stanford.edu/reports.html), [Website](http://cs224d.stanford.edu/) From e8149ecf47c03261e7ce72d406a83be47c6c3af9 Mon Sep 17 00:00:00 2001 From: Ujjwal Karn Date: Wed, 27 Dec 2017 11:10:08 +0800 Subject: [PATCH 04/25] Update README.md --- README.md | 20 ++++++++++++++------ 1 file changed, 14 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index a915a16..537a055 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,7 @@ ## Contents -- [Miscellaneous](#general) +- [Introduction](#general) - [Interview Resources](#interview) - [Artificial Intelligence](#ai) - [Genetic Algorithms](#ga) @@ -51,7 +51,15 @@ -## Miscellaneous +## Introduction + +- [Machine Learning Course by Andrew Ng (Stanford University)](https://www.coursera.org/learn/machine-learning) + +- [In-depth introduction to machine learning in 15 hours of expert videos](http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/) + +- [An Introduction to Statistical Learning](http://www-bcf.usc.edu/~gareth/ISL/) + +- [List of Machine Learning University Courses](https://github.com/prakhar1989/awesome-courses#machine-learning) - [Machine Learning for Software Engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers) @@ -67,8 +75,6 @@ - [Machine Learning FAQs on Cross Validated](http://stats.stackexchange.com/questions/tagged/machine-learning) -- [List of Machine Learning University Courses](https://github.com/prakhar1989/awesome-courses#machine-learning) - - [Machine Learning algorithms that you should always have a strong understanding of](https://www.quora.com/What-are-some-Machine-Learning-algorithms-that-you-should-always-have-a-strong-understanding-of-and-why) - [Difference between Linearly Independent, Orthogonal, and Uncorrelated Variables](http://terpconnect.umd.edu/~bmomen/BIOM621/LineardepCorrOrthogonal.pdf) @@ -89,8 +95,6 @@ - [TheAnalyticsEdge edX Notes and Codes](https://github.com/pedrosan/TheAnalyticsEdge) -- [In-depth introduction to machine learning in 15 hours of expert videos](http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/) - - [Have Fun With Machine Learning](https://github.com/humphd/have-fun-with-machine-learning) - [Twitter's Most Shared #machineLearning Content From The Past 7 Days](http://theherdlocker.com/tweet/popularity/machinelearning) @@ -396,6 +400,10 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) ## Deep Learning +- [fast.ai - Practical Deep Learning For Coders](http://course.fast.ai/) + +- [fast.ai - Cutting Edge Deep Learning For Coders](http://course.fast.ai/part2.html) + - [A curated list of awesome Deep Learning tutorials, projects and communities](https://github.com/ChristosChristofidis/awesome-deep-learning) - [Lots of Deep Learning Resources](http://deeplearning4j.org/documentation.html) From 053cea2f6a4acc0b169a803545fb523311f9e9e5 Mon Sep 17 00:00:00 2001 From: rohduggal <35959788+rohduggal@users.noreply.github.com> Date: Fri, 23 Feb 2018 01:27:12 +0530 Subject: [PATCH 05/25] Added curated ML resources https://hackr.io/tutorials/learn-machine-learning-ml --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 537a055..50f2787 100644 --- a/README.md +++ b/README.md @@ -55,6 +55,8 @@ - [Machine Learning Course by Andrew Ng (Stanford University)](https://www.coursera.org/learn/machine-learning) +- [Curated List of Machine Learning Resources](https://hackr.io/tutorials/learn-machine-learning-ml) + - [In-depth introduction to machine learning in 15 hours of expert videos](http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/) - [An Introduction to Statistical Learning](http://www-bcf.usc.edu/~gareth/ISL/) From 73ccfa03e08a651e5812f2e71709fc728743b5a9 Mon Sep 17 00:00:00 2001 From: qualityjacks Date: Sat, 14 Apr 2018 15:23:02 +0530 Subject: [PATCH 06/25] Added Curated AI Learning Resources https://hackr.io/tutorials/learn-artificial-intelligence-ai --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 537a055..76cfe43 100644 --- a/README.md +++ b/README.md @@ -121,6 +121,8 @@ - [UC Berkeley CS188 Intro to AI](http://ai.berkeley.edu/home.html), [Lecture Videos](http://ai.berkeley.edu/lecture_videos.html), [2](https://www.youtube.com/watch?v=W1S-HSakPTM) +- [Programming Community Curated Resources for learning Artificial Intelligence](https://hackr.io/tutorials/learn-artificial-intelligence-ai) + - [MIT 6.034 Artificial Intelligence Lecture Videos](https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi), [Complete Course](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/) - [edX course | Klein & Abbeel](https://courses.edx.org/courses/BerkeleyX/CS188x_1/1T2013/info) From 74d78e87badcee6b6ea0c01653616deb83321cab Mon Sep 17 00:00:00 2001 From: Chris Ratcliff Date: Mon, 23 Apr 2018 21:46:54 +0100 Subject: [PATCH 07/25] Add ML Compiled to Cheat Sheets --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 537a055..29647e1 100644 --- a/README.md +++ b/README.md @@ -264,6 +264,8 @@ - [Machine Learning Cheat Sheet](https://github.com/soulmachine/machine-learning-cheat-sheet) +- [ML Compiled](https://ml-compiled.readthedocs.io/en/latest/) + ## Classification From 18cd51758b3c334ab473b5f8957147f29a618534 Mon Sep 17 00:00:00 2001 From: Ujjwal Karn Date: Wed, 13 Jun 2018 07:59:19 +0800 Subject: [PATCH 08/25] Added interview resources --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 537a055..bdcd9ca 100644 --- a/README.md +++ b/README.md @@ -113,6 +113,8 @@ - [What are the key skills of a data scientist?](https://www.quora.com/What-are-the-key-skills-of-a-data-scientist) +- [The Big List of DS/ML Interview Resources](https://towardsdatascience.com/the-big-list-of-ds-ml-interview-resources-2db4f651bd63) + ## Artificial Intelligence From b8e072034a83c9b1219352d5d858fd10e9c62e3a Mon Sep 17 00:00:00 2001 From: soulbliss Date: Mon, 16 Jul 2018 11:20:41 +0530 Subject: [PATCH 09/25] fixed the broken url to the updated url for "A brief Tour of the Trees and Forest" --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index bdcd9ca..2ebb253 100644 --- a/README.md +++ b/README.md @@ -883,7 +883,7 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - [FAQs about Decision Trees](http://stats.stackexchange.com/questions/tagged/cart) -- [Brief Tour of Trees and Forests](http://statistical-research.com/a-brief-tour-of-the-trees-and-forests/) +- [Brief Tour of Trees and Forests](https://statistical-research.com/index.php/2013/04/29/a-brief-tour-of-the-trees-and-forests/) - [Tree Based Models in R](http://www.statmethods.net/advstats/cart.html) From 204ab1ccbd855befefb0e1d733d23816c2a464b7 Mon Sep 17 00:00:00 2001 From: meghpatel Date: Mon, 1 Oct 2018 16:34:18 +0530 Subject: [PATCH 10/25] Added some links in Named Entity Recognition under NLP --- README.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/README.md b/README.md index bdcd9ca..e346c1b 100644 --- a/README.md +++ b/README.md @@ -721,6 +721,8 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - [Interesting Deep Learning NLP Projects Stanford](http://cs224d.stanford.edu/reports.html), [Website](http://cs224d.stanford.edu/) +- [The Stanford NLP Group](https://nlp.stanford.edu/) + - [NLP from Scratch | Google Paper](https://static.googleusercontent.com/media/research.google.com/en/us/pubs/archive/35671.pdf) - [Graph Based Semi Supervised Learning for NLP](http://graph-ssl.wdfiles.com/local--files/blog%3A_start/graph_ssl_acl12_tutorial_slides_final.pdf) @@ -797,6 +799,12 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - [Classification Text with Bag of Words](http://fastml.com/classifying-text-with-bag-of-words-a-tutorial/) +- Named Entity Recognitation + + - [Stanford Named Entity Recognizer (NER)](https://nlp.stanford.edu/software/CRF-NER.shtml) + + - [Named Entity Recognition: Applications and Use Cases- Towards Data Science](https://towardsdatascience.com/named-entity-recognition-applications-and-use-cases-acdbf57d595e) + - [Language learning with NLP and reinforcement learning](http://blog.dennybritz.com/2015/09/11/reimagining-language-learning-with-nlp-and-reinforcement-learning/) - [Kaggle Tutorial Bag of Words and Word vectors](https://www.kaggle.com/c/word2vec-nlp-tutorial/details/part-1-for-beginners-bag-of-words), [Part 2](https://www.kaggle.com/c/word2vec-nlp-tutorial/details/part-2-word-vectors), [Part 3](https://www.kaggle.com/c/word2vec-nlp-tutorial/details/part-3-more-fun-with-word-vectors) From 247126427742436fac5531f562bf71f8e822f53b Mon Sep 17 00:00:00 2001 From: guillaume-chevalier Date: Sat, 13 Oct 2018 04:38:39 -0400 Subject: [PATCH 11/25] Add 'Multilingual Latent Dirichlet Allocation (LDA)'. --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index bdcd9ca..4097594 100644 --- a/README.md +++ b/README.md @@ -759,6 +759,8 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - [Topic Modeling of Twitter Followers](http://alexperrier.github.io/jekyll/update/2015/09/04/topic-modeling-of-twitter-followers.html) + - [Multilingual Latent Dirichlet Allocation (LDA)](https://github.com/ArtificiAI/Multilingual-Latent-Dirichlet-Allocation-LDA) + - word2vec From 8afcfc46b3753f70c3d9cf94e7b7e908530609cb Mon Sep 17 00:00:00 2001 From: Guillaume Chevalier Date: Sat, 13 Oct 2018 04:42:18 -0400 Subject: [PATCH 12/25] Add "Multilingual Latent Dirichlet Allocation (LDA)" Tutorial. --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 4097594..0acd8f0 100644 --- a/README.md +++ b/README.md @@ -759,7 +759,7 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - [Topic Modeling of Twitter Followers](http://alexperrier.github.io/jekyll/update/2015/09/04/topic-modeling-of-twitter-followers.html) - - [Multilingual Latent Dirichlet Allocation (LDA)](https://github.com/ArtificiAI/Multilingual-Latent-Dirichlet-Allocation-LDA) + - [Multilingual Latent Dirichlet Allocation (LDA)](https://github.com/ArtificiAI/Multilingual-Latent-Dirichlet-Allocation-LDA). ([Tutorial here](https://github.com/ArtificiAI/Multilingual-Latent-Dirichlet-Allocation-LDA/blob/master/Multilingual-LDA-Pipeline-Tutorial.ipynb)) From 9958dd5f5bd2fea2fb7a396ff94724f6cb32790d Mon Sep 17 00:00:00 2001 From: Benedict Florance Date: Sun, 28 Oct 2018 13:21:30 +0530 Subject: [PATCH 13/25] Add resource for backpropagation --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index bdcd9ca..bedbebc 100644 --- a/README.md +++ b/README.md @@ -450,6 +450,8 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - [Deep Learning Basics](http://alexminnaar.com/deep-learning-basics-neural-networks-backpropagation-and-stochastic-gradient-descent.html) +- [Intuition Behind Backpropagation](https://medium.com/spidernitt/breaking-down-neural-networks-an-intuitive-approach-to-backpropagation-3b2ff958794c) + - [Stanford Tutorials](http://ufldl.stanford.edu/tutorial/supervised/MultiLayerNeuralNetworks/) - [Train, Validation & Test in Artificial Neural Networks](http://stackoverflow.com/questions/2976452/whats-is-the-difference-between-train-validation-and-test-set-in-neural-networ) From 3e454b5c48dbe6aa7fee2ff44e80c1bdab80dcb5 Mon Sep 17 00:00:00 2001 From: Ujjwal Karn Date: Wed, 2 Jan 2019 06:39:02 +0800 Subject: [PATCH 14/25] Update contributing.md --- contributing.md | 1 + 1 file changed, 1 insertion(+) diff --git a/contributing.md b/contributing.md index 134caf1..8711389 100644 --- a/contributing.md +++ b/contributing.md @@ -5,6 +5,7 @@ If you want to contribute to this list (please do), send me a pull request. Sinc Please ensure your pull request adheres to the following guidelines: - **Please make an individual pull request for each suggestion.** +- Please only submit resources that are completly free to access. - The pull request and commit should have a useful title. - Please search previous suggestions before making a new one, as yours may be a duplicate. - Make sure your link has a useful and relevant title. From 3cebfb52447d317cdbc746bcfe5a257ba37f8d70 Mon Sep 17 00:00:00 2001 From: Ujjwal Karn Date: Wed, 2 Jan 2019 06:48:56 +0800 Subject: [PATCH 15/25] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 69b41ff..0e70134 100644 --- a/README.md +++ b/README.md @@ -472,6 +472,8 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - Neural Machine Translation + - **[Machine Translation Reading List](https://github.com/THUNLP-MT/MT-Reading-List#machine-translation-reading-list)** + - [Introduction to Neural Machine Translation with GPUs (part 1)](https://devblogs.nvidia.com/parallelforall/introduction-neural-machine-translation-with-gpus/), [Part 2](https://devblogs.nvidia.com/parallelforall/introduction-neural-machine-translation-gpus-part-2/), [Part 3](https://devblogs.nvidia.com/parallelforall/introduction-neural-machine-translation-gpus-part-3/) - [Deep Speech: Accurate Speech Recognition with GPU-Accelerated Deep Learning](https://devblogs.nvidia.com/parallelforall/deep-speech-accurate-speech-recognition-gpu-accelerated-deep-learning/) From 5d4cf841c70204d9a6507390979f20fd8de03958 Mon Sep 17 00:00:00 2001 From: Ujjwal Karn Date: Wed, 2 Jan 2019 07:06:43 +0800 Subject: [PATCH 16/25] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 0e70134..585c31d 100644 --- a/README.md +++ b/README.md @@ -414,6 +414,8 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - [A curated list of awesome Deep Learning tutorials, projects and communities](https://github.com/ChristosChristofidis/awesome-deep-learning) +- **[Deep Learning Papers Reading Roadmap](https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap/blob/master/README.md)** + - [Lots of Deep Learning Resources](http://deeplearning4j.org/documentation.html) - [Interesting Deep Learning and NLP Projects (Stanford)](http://cs224d.stanford.edu/reports.html), [Website](http://cs224d.stanford.edu/) From f0c0f940e9d23f328defa7b50032fd670ed7083a Mon Sep 17 00:00:00 2001 From: Ben Rozemberczki Date: Sat, 26 Jan 2019 20:25:00 +0000 Subject: [PATCH 17/25] Created network representation learning section. I added 5 aggregator/awesome repos of graph based deep learning papers, each has a different flavour. The first two include implementations. The last three reference and aggregate only the papers. Also updated the TOC. --- README.md | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/README.md b/README.md index 585c31d..8e35456 100644 --- a/README.md +++ b/README.md @@ -32,6 +32,7 @@ - [Restricted Boltzmann Machine, DBNs](#rbm) - [Autoencoders](#auto) - [Convolutional Neural Nets](#cnn) + - [Graph Representation Learning](#nrl) - [Natural Language Processing](#nlp) - [Topic Modeling, LDA](#topic) - [Word2Vec](#word2vec) @@ -720,6 +721,19 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - [Visualising and Understanding CNNs](https://www.cs.nyu.edu/~fergus/papers/zeilerECCV2014.pdf) + + +- Network Representation Learning + + - [Awesome Graph Embedding](https://github.com/benedekrozemberczki/awesome-graph-embedding) + + - [Awesome Network Embedding](https://github.com/chihming/awesome-network-embedding) + + - [Network Representation Learning Papers](https://github.com/thunlp) + + - [Knowledge Representation Learning Papers](https://github.com/thunlp/KRLPapers) + + - [Graph Based Deep Learning Literature](https://github.com/naganandy/graph-based-deep-learning-literature) From 70eab97b7b3951febb89267692729a49dfee6a42 Mon Sep 17 00:00:00 2001 From: Espoir Murhabazi Date: Fri, 31 May 2019 10:55:47 +0200 Subject: [PATCH 18/25] Update link for Topic modeling for twitter Update the broken link for twitter topic modeling, the previous link was broken. --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 8e35456..1b19818 100644 --- a/README.md +++ b/README.md @@ -783,7 +783,7 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - [LDA in Scala](http://alexminnaar.com/latent-dirichlet-allocation-in-scala-part-i-the-theory.html), [Part 2](http://alexminnaar.com/latent-dirichlet-allocation-in-scala-part-ii-the-code.html) - - [Segmentation of Twitter Timelines via Topic Modeling](http://alexperrier.github.io/jekyll/update/2015/09/16/segmentation_twitter_timelines_lda_vs_lsa.html) + - [Segmentation of Twitter Timelines via Topic Modeling](https://alexisperrier.com/nlp/2015/09/16/segmentation_twitter_timelines_lda_vs_lsa.html) - [Topic Modeling of Twitter Followers](http://alexperrier.github.io/jekyll/update/2015/09/04/topic-modeling-of-twitter-followers.html) From 0768abeaa5f5e630c8ea6d40cf96bd921d72917c Mon Sep 17 00:00:00 2001 From: LupusSomniator Date: Thu, 13 Jun 2019 14:25:54 +0700 Subject: [PATCH 19/25] Added CatBoost info in Boosting category --- README.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/README.md b/README.md index 1b19818..d66f6d8 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,4 @@ + # Machine Learning & Deep Learning Tutorials [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome) - This repository contains a topic-wise curated list of Machine Learning and Deep Learning tutorials, articles and other resources. Other awesome lists can be found in this [list](https://github.com/sindresorhus/awesome). @@ -1069,6 +1070,18 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - [Tutorial](http://math.mit.edu/~rothvoss/18.304.3PM/Presentations/1-Eric-Boosting304FinalRpdf.pdf) +- CatBoost + + - [CatBoost Documentation](https://catboost.ai/docs/) + + - [Benchmarks](https://catboost.ai/#benchmark) + + - [Tutorial](https://github.com/catboost/tutorials) + + - [GitHub Project](https://github.com/catboost) + + - [CatBoost vs. Light GBM vs. XGBoost](https://towardsdatascience.com/catboost-vs-light-gbm-vs-xgboost-5f93620723db) + ## Ensembles From 821c422e89689d4f8694686b9853f09d9e9fc0ab Mon Sep 17 00:00:00 2001 From: Lettier Date: Fri, 7 Feb 2020 00:49:14 -0500 Subject: [PATCH 20/25] Adds Your Guide to Latent Dirichlet Allocation --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index d66f6d8..6a76c50 100644 --- a/README.md +++ b/README.md @@ -790,6 +790,8 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - [Multilingual Latent Dirichlet Allocation (LDA)](https://github.com/ArtificiAI/Multilingual-Latent-Dirichlet-Allocation-LDA). ([Tutorial here](https://github.com/ArtificiAI/Multilingual-Latent-Dirichlet-Allocation-LDA/blob/master/Multilingual-LDA-Pipeline-Tutorial.ipynb)) + - [Your Guide to Latent Dirichlet Allocation](https://medium.com/@lettier/how-does-lda-work-ill-explain-using-emoji-108abf40fa7d) + - word2vec From e0b457969d2157cc6be61808a380db3b965cad6e Mon Sep 17 00:00:00 2001 From: Ujjwal Karn Date: Sun, 26 Apr 2020 17:18:35 +0800 Subject: [PATCH 21/25] Update README.md --- README.md | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index d66f6d8..587d2f1 100644 --- a/README.md +++ b/README.md @@ -761,14 +761,16 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - [Topic Modeling](https://en.wikipedia.org/wiki/Topic_model) + - [Topic Modeling Wiki](https://en.wikipedia.org/wiki/Topic_model) + - [**Probabilistic Topic Models Princeton PDF**](http://www.cs.columbia.edu/~blei/papers/Blei2012.pdf) - [LDA](https://en.wikipedia.org/wiki/Latent_Dirichlet_allocation), [LSA](https://en.wikipedia.org/wiki/Latent_semantic_analysis), [Probabilistic LSA](https://en.wikipedia.org/wiki/Probabilistic_latent_semantic_analysis) - - [What is a good explanation of Latent Dirichlet Allocation?](https://www.quora.com/What-is-a-good-explanation-of-Latent-Dirichlet-Allocation) + - [What is a good explanation of Latent Dirichlet Allocation (LDA)?](https://www.quora.com/What-is-a-good-explanation-of-Latent-Dirichlet-Allocation) - - [Awesome LDA Explanation!](http://blog.echen.me/2011/08/22/introduction-to-latent-dirichlet-allocation/). [Another good explanation](http://confusedlanguagetech.blogspot.in/2012/07/jordan-boyd-graber-and-philip-resnik.html) + - [**Intrduction to LDA**](http://blog.echen.me/2011/08/22/introduction-to-latent-dirichlet-allocation/), [Another good explanation](http://confusedlanguagetech.blogspot.in/2012/07/jordan-boyd-graber-and-philip-resnik.html) - - [The LDA Buffet- Intuitive Explanation](http://www.matthewjockers.net/2011/09/29/the-lda-buffet-is-now-open-or-latent-dirichlet-allocation-for-english-majors/) + - [The LDA Buffet - Intuitive Explanation](http://www.matthewjockers.net/2011/09/29/the-lda-buffet-is-now-open-or-latent-dirichlet-allocation-for-english-majors/) - [Difference between LSI and LDA](https://www.quora.com/Whats-the-difference-between-Latent-Semantic-Indexing-LSI-and-Latent-Dirichlet-Allocation-LDA) @@ -777,7 +779,8 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - [alpha and beta in LDA](http://datascience.stackexchange.com/questions/199/what-does-the-alpha-and-beta-hyperparameters-contribute-to-in-latent-dirichlet-a) - [Intuitive explanation of the Dirichlet distribution](https://www.quora.com/What-is-an-intuitive-explanation-of-the-Dirichlet-distribution) - + - [topicmodels: An R Package for Fitting Topic Models](https://cran.r-project.org/web/packages/topicmodels/vignettes/topicmodels.pdf) + - [Topic modeling made just simple enough](https://tedunderwood.com/2012/04/07/topic-modeling-made-just-simple-enough/) - [Online LDA](http://alexminnaar.com/online-latent-dirichlet-allocation-the-best-option-for-topic-modeling-with-large-data-sets.html), [Online LDA with Spark](http://alexminnaar.com/distributed-online-latent-dirichlet-allocation-with-apache-spark.html) @@ -789,7 +792,12 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - [Topic Modeling of Twitter Followers](http://alexperrier.github.io/jekyll/update/2015/09/04/topic-modeling-of-twitter-followers.html) - [Multilingual Latent Dirichlet Allocation (LDA)](https://github.com/ArtificiAI/Multilingual-Latent-Dirichlet-Allocation-LDA). ([Tutorial here](https://github.com/ArtificiAI/Multilingual-Latent-Dirichlet-Allocation-LDA/blob/master/Multilingual-LDA-Pipeline-Tutorial.ipynb)) - + - [Deep Belief Nets for Topic Modeling](https://github.com/larsmaaloee/deep-belief-nets-for-topic-modeling) + - [Gaussian LDA for Topic Models with Word Embeddings](http://www.cs.cmu.edu/~rajarshd/papers/acl2015.pdf) + - Python + - [Series of lecture notes for probabilistic topic models written in ipython notebook](https://github.com/arongdari/topic-model-lecture-note) + - [**Implementation of various topic models in Python**](https://github.com/arongdari/python-topic-model) + - word2vec From f124733a1a015b5b80fbbc43d22e228f299c0cc2 Mon Sep 17 00:00:00 2001 From: Ujjwal Karn Date: Sun, 26 Apr 2020 17:19:25 +0800 Subject: [PATCH 22/25] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 587d2f1..7e326a8 100644 --- a/README.md +++ b/README.md @@ -768,7 +768,7 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - [What is a good explanation of Latent Dirichlet Allocation (LDA)?](https://www.quora.com/What-is-a-good-explanation-of-Latent-Dirichlet-Allocation) - - [**Intrduction to LDA**](http://blog.echen.me/2011/08/22/introduction-to-latent-dirichlet-allocation/), [Another good explanation](http://confusedlanguagetech.blogspot.in/2012/07/jordan-boyd-graber-and-philip-resnik.html) + - [**Introduction to LDA**](http://blog.echen.me/2011/08/22/introduction-to-latent-dirichlet-allocation/), [Another good explanation](http://confusedlanguagetech.blogspot.in/2012/07/jordan-boyd-graber-and-philip-resnik.html) - [The LDA Buffet - Intuitive Explanation](http://www.matthewjockers.net/2011/09/29/the-lda-buffet-is-now-open-or-latent-dirichlet-allocation-for-english-majors/) From 9792f01ddaeda6c06c1f2c7dacf55d6ba0ffc1b9 Mon Sep 17 00:00:00 2001 From: Ujjwal Karn Date: Sun, 26 Apr 2020 17:27:36 +0800 Subject: [PATCH 23/25] Update README.md --- README.md | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 5ab5d22..e616ab6 100644 --- a/README.md +++ b/README.md @@ -760,11 +760,11 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) -- [Topic Modeling](https://en.wikipedia.org/wiki/Topic_model) - - [Topic Modeling Wiki](https://en.wikipedia.org/wiki/Topic_model) +- Topic Modeling + - [Topic Modeling Wikipedia](https://en.wikipedia.org/wiki/Topic_model) - [**Probabilistic Topic Models Princeton PDF**](http://www.cs.columbia.edu/~blei/papers/Blei2012.pdf) - - [LDA](https://en.wikipedia.org/wiki/Latent_Dirichlet_allocation), [LSA](https://en.wikipedia.org/wiki/Latent_semantic_analysis), [Probabilistic LSA](https://en.wikipedia.org/wiki/Probabilistic_latent_semantic_analysis) + - [LDA Wikipedia](https://en.wikipedia.org/wiki/Latent_Dirichlet_allocation), [LSA Wikipedia](https://en.wikipedia.org/wiki/Latent_semantic_analysis), [Probabilistic LSA Wikipedia](https://en.wikipedia.org/wiki/Probabilistic_latent_semantic_analysis) - [What is a good explanation of Latent Dirichlet Allocation (LDA)?](https://www.quora.com/What-is-a-good-explanation-of-Latent-Dirichlet-Allocation) @@ -772,6 +772,8 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - [The LDA Buffet - Intuitive Explanation](http://www.matthewjockers.net/2011/09/29/the-lda-buffet-is-now-open-or-latent-dirichlet-allocation-for-english-majors/) + - [Your Guide to Latent Dirichlet Allocation (LDA)](https://medium.com/@lettier/how-does-lda-work-ill-explain-using-emoji-108abf40fa7d) + - [Difference between LSI and LDA](https://www.quora.com/Whats-the-difference-between-Latent-Semantic-Indexing-LSI-and-Latent-Dirichlet-Allocation-LDA) - [Original LDA Paper](https://www.cs.princeton.edu/~blei/papers/BleiNgJordan2003.pdf) @@ -793,12 +795,11 @@ Elastic Net](https://web.stanford.edu/~hastie/Papers/elasticnet.pdf) - [Multilingual Latent Dirichlet Allocation (LDA)](https://github.com/ArtificiAI/Multilingual-Latent-Dirichlet-Allocation-LDA). ([Tutorial here](https://github.com/ArtificiAI/Multilingual-Latent-Dirichlet-Allocation-LDA/blob/master/Multilingual-LDA-Pipeline-Tutorial.ipynb)) - - [Your Guide to Latent Dirichlet Allocation](https://medium.com/@lettier/how-does-lda-work-ill-explain-using-emoji-108abf40fa7d) - [Deep Belief Nets for Topic Modeling](https://github.com/larsmaaloee/deep-belief-nets-for-topic-modeling) - [Gaussian LDA for Topic Models with Word Embeddings](http://www.cs.cmu.edu/~rajarshd/papers/acl2015.pdf) - Python - [Series of lecture notes for probabilistic topic models written in ipython notebook](https://github.com/arongdari/topic-model-lecture-note) - - [**Implementation of various topic models in Python**](https://github.com/arongdari/python-topic-model) + - [Implementation of various topic models in Python](https://github.com/arongdari/python-topic-model) From d01d49c489a07f0902e91d32b386c98ccfb6c1cf Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Stjepan=20Jurekovi=C4=87?= Date: Tue, 7 Sep 2021 15:10:16 +0200 Subject: [PATCH 24/25] Added Grokking Machine Learning Hi, Stjepan from Manning here. I thought this title might be a good match to your list. Thank you for considering it. Best, --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index e616ab6..68026d6 100644 --- a/README.md +++ b/README.md @@ -103,6 +103,8 @@ - [Twitter's Most Shared #machineLearning Content From The Past 7 Days](http://theherdlocker.com/tweet/popularity/machinelearning) +- [Grokking Machine Learning](https://www.manning.com/books/grokking-machine-learning) + ## Interview Resources From 7c5e128e22c6843924aac8f6b0868548bc516690 Mon Sep 17 00:00:00 2001 From: Ujjwal Karn Date: Fri, 1 Oct 2021 10:28:03 -0700 Subject: [PATCH 25/25] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index e616ab6..6605e3d 100644 --- a/README.md +++ b/README.md @@ -57,6 +57,8 @@ - [Machine Learning Course by Andrew Ng (Stanford University)](https://www.coursera.org/learn/machine-learning) +- [AI/ML YouTube Courses](https://github.com/dair-ai/ML-YouTube-Courses) + - [Curated List of Machine Learning Resources](https://hackr.io/tutorials/learn-machine-learning-ml) - [In-depth introduction to machine learning in 15 hours of expert videos](http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/)