Applications in learning, training, scientific research, and knowledge discovery.
Often the hardest part of solving a machine learning problem can be finding the right estimator (algorithm) for the job. Different estimators are better suited for different types…
Pandas is a powerful python library for data manipulation. It requires limited query level optimisation as its functions can perform rapid data manipulation and analysis on the entire…
Data Wrangling(preprocessing, prep, etc) is the most important and time consuming part of any data science project. Depending on the quality of data sources, 50%-60% of the initial…
Scikit-learn is a free software machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support vector machines, etc. One of…
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…
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…
Stanford Lecture Collection | Natural Language Processing with Deep Learning (Winter 2017).
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:…
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.…
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…
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…
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…
