Tutorial
Data Science Process
Most data science problems can be solved by following a standard process Process Flow diagram with some details is given below. This is just one of the many…
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Industry: Education & Research
Applications in learning, training, scientific research, and knowledge discovery.
Tutorial
Common NLP Tasks and Libraries
Common NLP tasks (Sentiment, Keyword, Topic, Summary, etc) using main libraries (HuggingFace Transformers, Spacy, Pytorch, Tensorflow, Scikit, etc) Idea is to show how to perform different NLP (Natural…
Perspective
When not to use Deep Learning – LSTM (Long Short-term Memory) networks
This article is comparing the results of using a deep learning algorithm, LSTMs, for a regression problem versus simple Neural Networks and ensemble algorithms like Random Forest and…
Industry Use Case
AI/Deep Learning applications in healthcare industry
I am sharing this article to show some possible uses for AI/Deep Learning in healthcare industry. Healthcare industry has traditionally been slow at adopting new technologies by nature…
Tutorial
RandomForest Regression model for predicting US 10 year Treasury Bond Prices using Macroeconomic Data
Building a #datascience #machinelearning #algorithm is relatively simple. 8 lines of #python code. It’s the other process steps that require most of the work – problem definition, #datawrangling,…
Video
DataWisdomX – Data Science course – Introductory videos to all lectures
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…
Tutorial
Data Science – End 2 End Beginners Course Part 1 – Machine Learning and Data Analytics
Announcing the launch of our online course on Udemy and other online platforms. 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…
Research
Predict Monthly Asset Price & Direction using Macroeconomic Data
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…
Research
Monthly Asset price relationship to Macroeconomic Data
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…
AI Brief
KDnuggets – Top Data Science, Machine Learning Methods Used, 2018/2019
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…
Research
Daily Currency Price prediction using Daily Macroeconomic Data by applying Regression (Random Forest, SVR, ANN) Algorithms – Results Summary
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…
Research
First image of a Black Hole built using Python
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…