Research articles for data science across AI, ML, NLP, data wrangling and visualization.
Legal Disclaimer – This research is not an investment advisory or a sales pitch. Objective Identify the relationship between asset prices (main stock indices, commodities, bonds) and macroeconomic…
Very interesting post by KDnuggets on machine learning methods being used. Lot of increase in usage for deep learning neural network algorithms. Regression, Decision Trees and Random Forest…
Objective Observe and improve the results of running regression algorithms (Random Forest Regression, Support Vector Regression, Artificial Neural Networks) on daily macroeconomic data to predict daily currency prices…
First M87 Event Horizon Telescope Results. III. Data Processing and Calibration Abstract We present the calibration and reduction of Event Horizon Telescope (EHT) 1.3 mm radio wavelength observations…
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…
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…
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…
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…
