IndusAgentAI

Data Wrangling 04/06/2019

Data Wrangling – preprocessing

Data Wrangling(preprocessing, prep, etc) is the most important and time consuming part of any data science project. Depending on the…

Libraries 04/05/2019

Open source Data science libraries – AI, ML, NLP

Scikit-learn is a free software machine learning library for the Python programming language. It features various classification, regression and clustering…

Toolkit 04/05/2019

Open source Data science Tools – Anaconda, Spyder, Python

The open-source Anaconda Distribution is the easiest way to perform Python/R data science and machine learning on Linux, Windows, and Mac…

Courses 04/05/2019

Youtube – MIT OpenCourseWare – Statistics lecture series

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…

Courses 04/05/2019

YouTube tutorials – Stanford NLP Lecture series

Stanford Lecture Collection | Natural Language Processing with Deep Learning (Winter 2017).

Training 04/05/2019

YouTube tutorials – Linear algebra – Matrices, Vectors, Eigenvectors

Very good free YouTube tutorials on Linear algebra – matrices, vectors, eigenvectors, etc. Essence of linear algebra. A geometric understanding…

Courses 04/05/2019

Udemy Online courses – ML, AI, NLP using Python

Machine Learning A-Z™: Hands-On Python & R In Data Science Learn to create Machine Learning Algorithms in Python and R…

Research Papers 04/03/2019

Richard Socher – Using RNN for NLP

Abstract – Semantic word spaces have been very useful but cannot express the meaning of longer phrases in a principled…

Featured 04/03/2019

Geoffrey Hinton, Father of Deep Learning, research articles page

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,…