First image of a Black Hole built using Python
First M87 Event Horizon Telescope Results. III. Data Processing and Calibration
Abstract
We present the...
ML Map – Choosing the right algorithm for your problem
Often the hardest part of solving a machine learning problem can be finding the right estimator (algorithm) for the job.
Pandas for Data Wrangling – tutorial, cheat sheet
Pandas is a powerful python library for data manipulation. It requires limited query level optimisation as its functions can perform rapid data...
Data Wrangling – preprocessing
Data Wrangling(preprocessing, prep, etc) is the most important and time consuming part of any data science project. Depending on the quality of...
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 algorithms including...
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 OS X....
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 the theoretical...
YouTube tutorials – Stanford NLP Lecture series
Stanford Lecture Collection | Natural Language Processing with Deep Learning (Winter 2017).
https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6
YouTube tutorials – Linear algebra – Matrices, Vectors, Eigenvectors
Very good free YouTube tutorials on Linear algebra - matrices, vectors, eigenvectors, etc.
Essence of linear algebra. A...
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...
