From 0768abeaa5f5e630c8ea6d40cf96bd921d72917c Mon Sep 17 00:00:00 2001 From: LupusSomniator Date: Thu, 13 Jun 2019 14:25:54 +0700 Subject: [PATCH 1/7] 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 2/7] 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 3/7] 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 4/7] 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 5/7] 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 6/7] 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 7/7] 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/)