Please check out the introduction video playlist on youtube to all lectures. It will give you an idea about what is being taught in the course and help you decide whether you…
Announcing the launch of our online course on Udemy and other online platforms. https://youtu.be/ZacHdseW00A Udemy course link is - https://www.udemy.com/course/datascience-e2e-beginnerscourse-machinelearning-dataanalytics/learn/lecture/25000096#overview Data Science is a multi-disciplinary profession which requires a combination of 3…
Legal Disclaimer – This research is not an investment advisory or a sales pitch. Objective Predict monthly asset price (main stock indices, commodities, bonds) and direction (Higher/Lower) using macroeconomic data for US,…
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 data for US, UK…
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 are still amongst the…
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 for GBPUSD, EURUSD and…
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 of the supermassive black…
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 set. Below is…
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 effort is spent in…
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,…
