Machine Learning - sgml/signature GitHub Wiki
In new research accepted for publication in Chaos, they showed that improved predictions of chaotic systems like the Kuramoto-Sivashinsky equation become possible by hybridizing the data-driven, machine-learning approach and traditional model-based prediction. Ott sees this as a more likely avenue for improving weather prediction and similar efforts, since we don’t always have complete high-resolution data or perfect physical models. “What we should do is use the good knowledge that we have where we have it,” he said, “and if we have ignorance we should use the machine learning to fill in the gaps where the ignorance resides.”
AI is skilled at games Machine learning is skilled at statistics "Deep learning is also highly susceptible to bias. When Google's facial recognition system was initially rolled out, for instance, it tagged many black faces as gorillas.
Child Psychology
- https://www.hackster.io/Fryden-Learning/ai-and-machine-learning-for-kids-2baa1f
- https://machinelearningforkids.co.uk/#!/worksheets
- https://www.commonsense.org/education/top-picks/best-coding-tools-for-middle-school
- https://www.stevemurch.com/machine-learning-ai-for-kids-resources/2018/12
- https://blog.ozobot.com/parenting/parents-can-explain-artificial-intelligence-machine-learning-kids/
- https://www.samplereality.com/2015/09/05/your-mistake-was-a-vital-strategy/
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6287292/
- https://www.pnas.org/content/105/13/5012
- https://scienceblogs.com/cognitivedaily/2009/04/29/do-we-reason-with-statistics-i
- https://datascience.aero/how-much-data-you-need/
- http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.878.1367&rep=rep1&type=pdf
- http://www.cogsci.ucsd.edu/~deak/cdlab/Publication/LietalTR2009.pdf
Storytelling
I think stories are what make us different from chimpanzees and Neanderthals. And if story-understanding is really where it’s at, we can’t understand our intelligence until we understand that aspect of it.
- http://nautil.us/issue/75/story/the-storytelling-computer
- http://people.csail.mit.edu/phw/index.html
- https://www.memoriesofpatrickwinston.com/
- https://phys.org/news/2017-12-arrow-relative-concept-absolute.html
Scaffolding
- https://www.forbes.com/sites/janakirammsv/2018/01/01/why-do-developers-find-it-hard-to-learn-machine-learning/#4237864f6bf6
- https://marutitech.com/problems-solved-machine-learning/
- https://www.linkedin.com/pulse/cat-teaching-computers-how-learn-mike-volpi/
- https://machinelearningmastery.com/youre-wrong-machine-learning-not-hard/
- https://www.robinwieruch.de/machine-learning-javascript-web-developers/
- https://law.vanderbilt.edu/files/archive/Judicial_Intuition.pdf
- http://www.r2d3.us/visual-intro-to-machine-learning-part-1/
- https://www.gamasutra.com/view/feature/130578/visual_finite_state_machine_ai_.php
- https://www.codeproject.com/Articles/1275031/Why-Real-Neurons-Learn-Faster
- https://www.quora.com/Is-there-a-way-to-use-Machine-Learning-to-predict-the-outcome-of-a-coin-toss
- https://medium.com/@davidllorente/nlg-technologies-artificial-intelligence-vs-rule-base-approach-cf8e9992461e
- https://medium.com/@davidllorente/automatic-natural-language-generation-the-new-normal-cd36ed8976de
- https://blog.wolfram.com/2010/11/30/how-to-win-at-coin-flipping/
- https://medium.com/@mikeharrisNY/the-heist-is-the-coin-toss-77ee4d870037
- https://docs.aws.amazon.com/silk/latest/developerguide/machine-learning.html
Concepts
- http://people.csail.mit.edu/phw/mit.html
- https://ml-cheatsheet.readthedocs.io/en/latest/nn_concepts.html
- https://www.sqlservercentral.com/articles/machine-learning-101-the-mathematics-of-an-artificial-neural-network-6
- http://inverseprobability.com/talks/notes/probabilistic-machine-learning.html
- https://www.frontiersin.org/articles/10.3389/fpsyg.2015.01120/full
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2722922/
- https://www.hindawi.com/journals/complexity/2019/2952304/
- http://www.alice.id.tue.nl/references/kahnemann-2003.pdf
- https://stackoverflow.com/questions/616292/is-it-possible-for-a-computer-to-learn-a-regular-expression-by-user-provided-e
- https://ruccs.rutgers.edu/images/personal-rochel-gelman/publications/Obrecht_Chapman_Gelman_2007_Intuitive_t_Tests_Lay_use_of_statistical_information.pdf
- https://ir.lib.uwo.ca/cgi/viewcontent.cgi?referer=&httpsredir=1&article=1230&context=etd
- https://en.wikipedia.org/wiki/Sortition
- https://www.nature.com/articles/ncomms15694:
- https://en.wikipedia.org/wiki/Logic_learning_machine
- https://en.wikipedia.org/wiki/Hierarchical_classifier
- https://en.wikipedia.org/wiki/Quasi-likelihood
- https://www.microsoft.com/en-us/research/wp-content/uploads/2017/02/unknown_unknowns_identify_algo.pdf
- https://www.quora.com/Are-artificial-intelligence-compiler-theory-and-Automata-related-together-If-so-then-how
Research
- https://elitedatascience.com/machine-learning-algorithms
- https://www.riskiq.com/blog/external-threat-management/machine-learning-silver-bullet/
- https://medium.com/data-from-the-trenches/marketing-attribution-tutorial-part-2-7bb78dec502
- https://www.ibm.com/developerworks/community/blogs/jfp/entry/Feature_Engineering_For_Deep_Learning?lang=en
- https://www.ibm.com/developerworks/community/blogs/jfp/entry/Machine_Learning_As_Prescriptive_Analytics?lang=en
- https://arxiv.org/pdf/1907.06094.pdf
- https://www.nasdaq.com/articles/5-ways-companies-are-transforming-their-businesses-machine-learning-2019-03-13
- https://www.codeproject.com/Articles/4414/A-Proposed-Model-for-Simulating-Human-Artificial-I
- https://sports.stackexchange.com/questions/749/do-basketball-players-tend-to-improve-at-shooting-free-throws-over-the-course-of
- https://sports.stackexchange.com/questions/12074/how-to-collect-stats-in-nba
- https://sports.stackexchange.com/questions/20922/is-there-a-standard-advanced-stat-in-basketball-for-measuring-player-consist
- https://prosportsanalytics.com/2017/05/25/predicting-nba-salaries-part-1/
- http://horror.dreamdawn.com/?p=49113
- https://www.gamasutra.com/blogs/PaulTozour/20141216/232023/The_Game_Outcomes_Project_Part_1_The_Best_and_the_Rest.php
- https://ai.stackexchange.com/questions/5577/is-it-possible-to-write-an-adaptive-parser
- https://conf.slac.stanford.edu/xldb2019/sites/xldb2019.conf.slac.stanford.edu/files/Wed_10.55_Seyed_Umar_BigQueryML-XLDB2019.pdf
- https://towardsdatascience.com/deep-neural-network-implemented-in-pure-sql-over-bigquery-f3ed245814d3
SQL Algorithms
- https://thenewstack.io/sql-fans-can-now-develop-ml-applications/
- https://www.snowflake.com/blog/synthetic-data-generation-at-scale-part-2/
- https://towardsdatascience.com/machine-learning-with-sql-ae46b1fe78a9?gi=bd255df749bd
- https://towardsdatascience.com/learning-sql-201-optimizing-queries-regardless-of-platform-918a3af9c8b1
Data Quality
- http://www.oecd.org/statistics/statisticalresources.htm
- https://apiumhub.com/tech-blog-barcelona/introduction-perceptual-hashes-measuring-similarity/
- https://www.openprisetech.com/blog/i-predict-your-predictive-scoring-project-will-fail-heres-why-and-how-to-do-it-right/
- http://trap.ncirl.ie/3437/1/marinalambert.pdf
- https://www.intel.com/content/dam/www/public/us/en/documents/white-papers/data-mining-using-machine-learning-to-rediscover-customers-paper.pdf
- https://docs.oracle.com/cd/E14004_01/books/PDF/MKTG_User.pdf
- https://steelkiwi.com/blog/what-is-machine-learning/
- https://www.altexsoft.com/blog/datascience/preparing-your-dat
- https://sports.stackexchange.com/questions/20922/is-there-a-standard-advanced-stat-in-basketball-for-measuring-player-consist
- https://sports.stackexchange.com/questions/12074/how-to-collect-stats-in-nba
Techniques
- https://rosettacode.org/wiki/Rock-paper-scissors
- https://stripe.com/blog/fraud-reporting
- https://www.analyticsvidhya.com/glossary-of-common-statistics-and-machine-learning-terms/
- https://www.linkedin.com/pulse/predicting-buying-behavior-through-machine-learning-case-mitra/
- https://www.altexsoft.com/blog/datascience/preparing-your-dataset-for-machine-learning-8-basic-techniques-that-make-your-data-better/
- https://www.linkedin.com/pulse/naive-bayes-classifier-foundation-machine-learning-chase-perkins
- https://www.reddit.com/r/askscience/comments/3zghfk/mathematics_probability_question_do_we_treat_coin/
- https://statweb.stanford.edu/~susan/papers/headswithJ.pdf
- https://www.kaggle.com/yusukesaito0141/bigqueryml-is-all-you-need
- https://codegolf.stackexchange.com/questions/11880/build-a-working-game-of-tetris-in-conways-game-of-life
- https://gamedev.stackexchange.com/questions/55151/rpg-logarithmic-leveling-formula
- https://www.forbes.com/sites/audreymurrell/2019/05/30/big-data-and-the-problem-of-bias-in-higher-education/
- https://2021.ai/fairness-in-machine-learning/
- https://newsroom.haas.berkeley.edu/minority-homebuyers-face-widespread-statistical-lending-discrimination-study-finds/
- http://machineintelligenceafrica.org/about/
- https://www.technologyreview.com/s/613848/ai-africa-machine-learning-ibm-google/
- https://medium.com/pandorabots-blog/aiml-tutorial-the-srai-tag-5bb1f9d08169
OCR
Decision Trees
- https://www.w3schools.com/python/python_ml_decision_tree.asp
- https://www.slideshare.net/ShivangiGupta54/tree-pruning-56173803
- https://machinelearningmastery.com/implement-decision-tree-algorithm-scratch-python/
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4980076/
- https://medium.com/greyatom/decision-trees-a-simple-way-to-visualize-a-decision-dc506a403aeb
- https://www.nltk.org/book/ch06.html
- https://sefiks.com/2018/10/27/how-pruning-works-in-decision-trees/
Relational Data Interoperability
- http://www.kde.cs.tsukuba.ac.jp/~masa/papers/thesis.pdf
- http://cmj4.web.rice.edu/mat_vec.pdf
- https://core.ac.uk/download/pdf/34329967.pdf
- https://towardsdatascience.com/set-theory-basic-notation-da93c3d48090
Full Text Faceted Search Engine Marketing
- https://lucene.apache.org/solr/guide/7_5/machine-learning.html
- https://findwise.com/blog/improve-search-relevance-using-machine-learning-statistics-apache-solr-learning-rank/
- https://www.hillstonenet.com/blog/a-hybrid-approach-to-detect-malicious-web-crawlers/
- http://www.cs.stir.ac.uk/~kms/schools/rps/index.php
- https://www.aclweb.org/anthology/D07-1086
- https://searchengineland.com/google-extends-same-meaning-close-variants-to-phrase-match-broad-match-modifiers-320138
- https://www.datacamp.com/community/tutorials/sem-data-science
- https://moz.com/blog/google-vs-bing-correlation-analysis-of-ranking-elements
- https://itnext.io/apache-solr-because-your-database-is-not-a-search-engine-57705352df8a
- https://content.iospress.com/articles/data-science/ds007
- https://spidermonkey.ca/robot.shtml
- https://docs.oracle.com/cd/E05317_01/psft/acrobat/dm0682.pdf
NLP
- https://luckytoilet.wordpress.com/2018/01/01/real-world-applications-of-automaton-theory/
- https://en.wikipedia.org/wiki/Bag-of-words_model
- https://www.npmjs.com/package/search-index
- https://davidwalsh.name/open-search
- http://2ality.com/2013/06/chrome-omnibox-search.html
- https://docs.servicenow.com/bundle/london-platform-administration/page/integrate/inbound-other-web-services/task/t_BuildSearchProviderForInstance.html
- https://towardsdatascience.com/predicting-logics-lyrics-with-machine-learning-9e42aff63730
- https://www.newscientist.com/article/2115684-machine-learning-lets-computer-create-melodies-to-fit-any-lyrics/
- https://medium.com/@yashka.troy/alphabet-array-solving-anagrams-fc5e1ac68431
- https://www.scirp.org/journal/PaperInformation.aspx?PaperID=20943
- https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?referer=&httpsredir=1&article=3813&context=etd
- http://www.lwebzem.com/cgi-bin/courses/course_view.cgi?c=naive_bayes_classification_course.cgi
Music
NLG
- title:machine title:learning title:lyrics -ext:pdf
- https://github.com/llSourcell/Rap_Lyric_Generator/blob/master/MarkovRap.py
- https://www.cjr.org/tow_center_reports/guide_to_automated_journalism.php/
- https://www.salesforce.com/blog/2016/09/artificial-intelligence-helps-small-businesses.html
- https://pdfs.semanticscholar.org/08ed/cd794d534450f46ba5969f3e4098a0b4c744.pdf
- https://www.import.io/post/neural-nets-how-regular-expressions-brought-about-deep-learning/
- http://www.agence-nationale-recherche.fr/Project-ANR-14-CE24-0033
Gender Prediction
- https://pypi.org/project/gender-guesser/
- https://github.com/appeler/ethnicolr
- https://www.namsor.com/
- https://stephenholiday.com/articles/2011/gender-prediction-with-python/
- https://www.kdnuggets.com/2015/11/machine-learning-predict-gender.html
- https://github.com/alecglassford/compciv-2016/blob/master/projects/gender-detector-data/README.md
Codegen
- https://www.functionize.com/blog/robot-framework-a-closer-look-at-keyword-driven-testing-approach/
- https://www.codeproject.com/Articles/1156694/A-Look-into-the-Future-Source-Code-Generation-by-t
- https://www.red3d.com/cwr/steer/
Datasets
- https://en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research
- https://archive.ics.uci.edu/ml/datasets/letter+recognition
- https://medium.com/@saframpton/our-lossy-alphabet-a59516e8c3fb
- https://github.com/angular/code.angularjs.org/blob/master/1.4.9/docs/js/search-data.json
Packages
- https://www.predictiveanalyticstoday.com/top-artificial-neural-network-software/
- https://www.kaggle.com/vimota/getting-started-with-bigquery-ml-in-r
Classifiers
- https://blog.feedly.com/data-science-behind-recommendations-in-feedly/
- https://pdfs.semanticscholar.org/ccba/c9c9cda72b27bfda0d780be86da744b6ce7c.pdf
- https://www.supermarketguru.com/articles/the-first-of-its-kind-study-shows-ai-tool-can-improve-best-practices-in-managing-nut-allergies/
- https://www.businessinsider.com/how-to-say-hello-around-the-world-2015-8
- https://growth.wingify.com/what-you-need-to-know-before-you-board-the-machine-learning-train-a81c513098fe
- https://blog.fastforwardlabs.com/2017/03/09/fairml-auditing-black-box-predictive-models.html
- http://inverseprobability.com/talks/notes/the-three-ds-of-machine-learning.html
- https://www.scienceabc.com/innovation/how-did-the-nintendo-game-duck-hunt-work.html
- https://venturebeat.com/2019/01/18/machine-learning-is-rescuing-old-game-textures-in-zelda-and-final-fantasy/
- https://www.quora.com/Which-machine-learning-algorithms-do-Super-Smash-Bros-Wii-U-Amiibos-utilize
- https://towardsdatascience.com/how-to-win-over-70-matches-in-rock-paper-scissors-3e17e67e0dab
Fantasy Basketball
- https://basketball.fantasysports.yahoo.com/nba/167497/
- https://developer.yahoo.com/fantasysports/guide/
Fantasy Football
Dictionaries
Chatbots
- https://chatbotslife.com/text-classification-using-algorithms-e4d50dcba45
- https://www.codeproject.com/Articles/12454/Developing-AI-chatbots
- https://www.tutorialspoint.com/aiml/
- https://blog.publicinput.com/news/blog/introducing-kevin-kamto-and-machine-learning-92c8cd0d67cf
- https://chatbotsmagazine.com/what-is-the-working-of-a-chatbot-e99e6996f51c
- https://www.marutitech.com/why-can-chatbots-replace-mobile-apps-immediately/
- https://www.gamasutra.com/view/feature/132155/beyond_aiml_chatbots_102.php
- https://easydita.com/a-chatbot-maturity-model/
- https://www.sam-solutions.com/blog/java-is-it-the-best-language-for-artificial-intelligence/
- https://chatterbot.readthedocs.io/en/stable/tutorial.html
Slackbots
- https://medium.com/slack-developer-blog/conversing-with-ai-on-slack-5af2561f98a5
- https://medium.com/@SAPCAI/a-natural-language-slackbot-19ca5b0fc64b
- https://uxplanet.org/design-lessons-from-building-an-ai-slackbot-for-uncle-brian-73f5a9b1fe89
- https://dzone.com/articles/build-a-scheduler-slackbot-in-30-minutes
Finite State Machine
- https://borjaballe.github.io/other/phdthesis.pdf
- https://dzone.com/articles/neural-networks-and-automata-theory
- https://www.quora.com/Arent-Neural-Networks-just-State-Machines
- https://www.bennadel.com/blog/2241-parsing-csv-data-with-an-input-stream-and-a-finite-state-machine.htm
- https://papers.nips.cc/paper/757-fools-gold-extracting-finite-state-machines-from-recurrent-network-dynamics.pdf
Relational Data
- https://machinelearningmastery.com/large-data-files-machine-learning/
- https://towardsdatascience.com/why-does-ai-ml-considering-the-examples-of-chatbots-creation-20b1906274f8
Semantic Data
- https://www.kdnuggets.com/2015/05/webdatacommons-data-web-scale-mining.html
- https://lemire.me/blog/2014/12/02/when-bad-ideas-will-not-die-from-classical-ai-to-linked-data/
Recognition
- https://www.asug.com/news/costco-bakes-machine-learning-into-a-tasty-customer-experience
- https://gdpr.report/news/2017/08/23/deep-learning-not-ai-future/
- https://www.codeproject.com/Articles/1273113/Apple-tron-an-AI-for-farmers
- https://rationalwiki.org/wiki/Machine_learning
- https://www.oreilly.com/library/view/natural-language-annotation/9781449332693/ch04.html
- https://www.quora.com/How-do-I-design-a-system-to-query-the-database-based-on-natural-language-input
Video Games
- https://www.gamasutra.com/view/news/269634/7_examples_of_game_AI_that_every_developer_should_study.php
- https://bleacherreport.com/articles/2796233-inside-nba2ks-journey-to-the-top-of-sports-gaming
- https://www.gamasutra.com/view/news/296245/Have_a_peek_inside_the_AI_code_of_Street_Fighter_II.php
- https://www.gamasutra.com/view/news/316060/Blizzard_experiments_with_machine_learning_to_fight_Overwatch_toxicity.php
- https://www.gamasutra.com/view/news/336455/Learn_how_machine_learning_can_help_you_make_better_games_at_GDC_2019.php
- https://www.gamasutra.com/blogs/BenWeber/20190426/340293/PortfolioScale_Machine_Learning_atZynga.php
- https://towardsdatascience.com/an-exploration-of-neural-networks-playing-video-games-3910dcee8e4a
- https://deepmind.com/blog/article/alphastar-mastering-real-time-strategy-game-starcraft-ii
- https://www.freecodecamp.org/news/how-to-use-ai-to-play-sonic-the-hedgehog-its-neat-9d862a2aef98/
Prediction
- https://www.hackerfactor.com/GenderGuesser.php#Analyze
- https://dalibornasevic.com/posts/61-intro-to-machine-learning-in-ruby
- http://blogs.perl.org/users/sergey_kolychev/2017/02/machine-learning-in-perl.html
- https://www.andrewthompson.co/2012/12/prototyping-with-googles-prediction-api.html
- https://php-ml.readthedocs.io/en/latest/machine-learning/datasets/csv-dataset/
- https://code.msdn.microsoft.com/windowsdesktop/Getting-Started-with-34722da0#content
- http://pdl.perl.org/?docs=FAQ
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3111592/
- https://automatedinsights.com/customer-stories/associated-press/
- https://www.slideshare.net/judederick/whitepaper-1-butterfly-effect-and-big-data
- https://gigazine.net/gsc_news/en/20180420-machine-learning-predict-chaos/
- http://www.stsci.edu/~lbradley/seminar/butterfly.html
- https://www.quantamagazine.org/machine-learnings-amazing-ability-to-predict-chaos-20180418/
- https://en.wikipedia.org/wiki/Trivia
- https://en.wikipedia.org/wiki/Shahnameh