Startup & Innovation Idea
Startups and Data Science – 2023
Finally got to catchup on some startup and real data science activity after a few months. Wanted to put together what I have been thinking for a while. For me writing helps…
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SI Topic: Machine Learning & Predictive SI
Machine learning, deep learning, forecasting, classification, regression, and predictive systems.
Project & Build Log
RoboAdvisory Algorithm using Macroeconomic data
Predict 3 year Forward Asset Prices & Direction and Portfolio Return & Risk using Historic Macro data & Central Bank Forecasts This algorithm was published earlier. Sharing it again as it is…
Tutorial
Clustering- Unsupervised learning- Types, Metrics
This article will discuss the basic theory and relevant code examples for different clustering algorithms. Code for different algorithms and data used are given in github. Note – Make sure to point…
Tutorial
Classification- Types, Metrics and Comparison via Pipeline GridSearchCV
This article will discuss the basic theory and relevant code examples for different classification algorithms. It will also show how to test and compare multiple classification algorithms at once on the same…
Tutorial
Regression- Types, Metrics, Comparison via Pipeline GridSearchCV
This article will discuss the basic theory and relevant code examples for different regression algorithms. It will also show how to test and compare multiple regression algorithms at once on the same…
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 ways to solve data…
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 Language Processing) tasks using…
Project & Build Log
Computer Vision CIFAR10 Image Classification using Tensorflow and CNN
Using Tensorflow and keras for building CNN model with CIFAR-10 dataset for image classification Built different CNN models using different techniques and layersAchieved an accuracy of more than 85% between train and…
SI Brief
DALL.E – Creating Images from Text
OpenAI is a well known SI lab for creating the GPT-n series of deep learning pre-trained autoregressive language models similar to BERT/Roberta/XLNet. It has been known to generate almost human level text…
Industry Use Case
John Deere self-driving tractors
Interesting article on automation in farming. Big area of interest across the world as labour, supply chain is getting disrupted due to various reasons. Also there is a need to improve the…
Perspective
Data Engineers vs Data Scientists
Interesting article on data engineers vs data scientists from https://gradientflow.com/ is given below. One of the main issues for building ML/SI/DL models is availability of good, clean, relevant and large datasets. Very…
Research
NLP Transformers – Attention Is All You Need
In this article I'd like to share the original paper related to the concept of #Transformers in #NLP for #SI #DeepLearning. It is fundamental to the creation of #BERT and #XLNet NLP…