Original research, concise SI briefs, startup ideas, industry use cases, tutorials, and informed perspectives.
Practical applications of Agentic SI in a specific industry.
7 resourcesInformed commentary and personal analysis.
9 resourcesExperiments, architectures, implementation notes, and open-source work.
16 resourcesEvidence-based studies, source-audited analysis, and original research.
3 resourcesConcise, date-driven observations on current SI developments.
6 resourcesOpportunities, concepts, and business-model analysis for SI innovation.
18 resourcesStep-by-step learning resources and implementation guides.
5 resourcesVideo explainers, demonstrations, and lessons.
Trying to catch up on all the news around what happened at OpenAI. There are a lot of rumours around Q*, AGI, Self Taught Reasoning and Optimizing, Synthetic data and related algorithms.…
#OpenAI has just released #GPT-4, their latest model. Being multimodal it can process text and image. That makes things very interesting. Once you can process text/image (not sure if they process video/audio),…
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…
Created a new meetup group for open, informal and collaborative networking event for anyone interested in building innovative startups in any industry - healthtech, fintech, foodtech, etc. https://www.meetup.com/startups-entrepreneurs-networking/ Will organize regular events,…
Another good one from #GMO Grantham on the current super #bubble. 2023 will be another #bear #market in my view. Base case is still 50% correction from 2021 peak for all markets…
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…
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…
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…
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…
