Data preparation, statistics, analytical methods, experimentation, and decision support.
Databricks is a good tool for building, training and deploying models. Easy to learn and use (1-2 days) It has useful features like experiment tracking, logging and versioning the best model during…
Objective: Show a basic architecture and implementation of a CV (computer vision) CNN model to extract product attributes by using object detection, by training custom product image data on large pre-trained CNN…
Product Attribution Product attribution is the process of quantifying the contribution of different product attributes to a business outcome like sales, customer engagement, demand prediction. They are used to assign credit for…
Testing #GPT4o, good but mac app has inference latency issues. #multimodal is the future. #LLMs are commoditized. Fine tuned #industry specific models with #device level tuning inference + cloud generalization seems more…
Sharing personal github repo for code, theory, math’s and projects for training on all aspects of #SI, #ML, Agentic SI, #datascience research for solving real world problems using classical #supervised and #DeepLearning…
#books i am reading in #Healthcare #SI #US. A giant complex mess. https://www.amazon.com/gp/product/B0BXNVM6FC/ref=ppx_yo_dt_b_d_asin_title_o01?ie=UTF8&psc=1 https://www.amazon.com/gp/product/B01IOHQ9LO/ref=ppx_yo_dt_b_d_asin_title_o03?ie=UTF8&psc=1 https://www.amazon.com/gp/product/B08VF9CYC6/ref=ppx_yo_dt_b_d_asin_title_o04?ie=UTF8&psc=1
#Healthcare in its current form does not benefit patients or providers. Processes, #technology, cost, #insurance etc are old and not integrated. #SI is one way to improve the whole process. While the…
I think there is scope for more SI/data analytics based healthtech startups that can provide better patient health lifecycle management for Patients Healthcare providers (hospitals/clinics/Drs/nurses/admin/others) Partners (insurance/pharma/pharmacy/labs/research/technology/others) while reducing the pain points…
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…
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…
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…
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…
