Original research, concise SI briefs, startup ideas, industry use cases, tutorials, and informed perspectives.
Practical applications of Agentic SI in a specific industry.
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16 resourcesEvidence-based studies, source-audited analysis, and original research.
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The open-source Anaconda Distribution is the easiest way to perform Python/R data science and machine learning on Linux, Windows, and Mac OS X. https://www.anaconda.com/ Spyder is a powerful scientific environment written in Python,…
MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications.…
Stanford Lecture Collection | Natural Language Processing with Deep Learning (Winter 2017). https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6
Very good free YouTube tutorials on Linear algebra - matrices, vectors, eigenvectors, etc. Essence of linear algebra. A geometric understanding of matrices, determinants, eigen-stuffs and more. Home page: https://www.3blue1brown.com/ https://www.youtube.com/watch?v=fNk_zzaMoSs&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
Machine Learning A-Z™: Hands-On Python & R In Data Science Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included. Created by Kirill Eremenko, Hadelin…
Abstract - Semantic word spaces have been very useful but cannot express the meaning of longer phrases in a principled way. Further progress towards understanding compositionality in tasks such as sentiment detection…
http://www.cs.toronto.edu/~hinton/papers.html One of his earlier articles written in 1986!Learning internal representations by error propagation. http://www.cs.toronto.edu/~hinton/absps/pdp8.pdf Another one of his earlier articles, very interesting and written in 1992. How neural networks learn from experience. http://www.cs.toronto.edu/~hinton/absps/sciam92.pdf
Abstract - We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information. We take an object recognition approach,…
https://www.kdnuggets.com/ https://towardsdatascience.com/ https://machinelearningmastery.com/start-here/ https://www.analyticsvidhya.com/ https://www.kaggle.com/ https://www.datacamp.com/community/data-science-cheatsheets
There are a large no of free books available online to learn the basics of data science. Very good to start with before considering more advanced books. Some books for covering the…
Objective Observe and improve the results of applying NLP algorithms on FOMC meeting minutes to predict Fed Fund rate decision (hike, no hike, cut). Data and variations Fed FOMC meeting minutes for…
Objective Observe and improve the results of running multiple linear regression and random forest algorithms on macroeconomic data to predict currency prices. Data UK, EU and US monthly macroeconomic data for last…
