A few thoughts on how to get the most out of GPT-5 for coding and tough problems
A model for marketing mix
A collection of tools and techniques I use in the AI age.
This is my vibe coding guide on how I built a POC of concept for running Mesa app (their tutorial) in ShinyLive app so it can run in the browser without a front end.
A brief review of nonparametric statistical methods.
Exploring GenAI-powered tools
Some thoughts and code for a baseline morphology and syntax for emergent languages
A list of clarified research questions regarding emergent languages, planning, and grounding in multi-agent systems.
Thomas Schelling’s 1973 article explores binary choices where one person’s decision affects others, called by economists as externalities
How do could RL agents infer the goals of other agents?
Model for a cognitive mechanism similar to computer engines that simulate rich physics in video games and graphics, but that uses approximate, probabilistic simulations to…
Learning priors for Shapes
teaser for reading this paper
Zollman’s paper on how adding spatial structure affects the evolutionary outcomes of games with emergent communication and social cooperation
An exploration of partial pooling equilibria and mixed strategies in the Lewis signaling game, shedding light on their implications for emergent languages and communication…
A working paper on emergent languages
Some questions about planning in the Lewis Signaling Game and the stability of equilibria.
Review of ‘Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input’ by Angeliki Lazaridou et al.
A review of the paper ‘Linguistic generalization and compositionality in modern artificial neural networks’ by Marco Baroni.
Review of Mandelbrot’s papers on scaling in financial prices and his popular science book The (Mis)behaviour of Markets.
This article explores Vitter’s Algorithm and its application in online learning and communication within multi-agent systems.
Can we fine tune a state of the art LLM to improve the readability of text?
A review of Marco Baroni’s talk on the emergence of languages and the role of compositionality in language evolution.
Exploring new ideas for enhancing the Sugarscape environment
A deep dive into the complex signaling systems
How can we ensure signals are honest in a world where deception is rewarded? This paper delves into the theory of honest signalling in animal behavior, specifically…
Patrick Henry Winston provides a definition of AI. How he keeps expanding his definition as he goes along is thing of beauty. It expands organicaly to incorporate new ideas…
Some thoughts on the Lewis signaling game
Quarto at last supports Mindmap charts using Mermaid charts.
some migration notes from Blooger to Jekyl to Quarto blog.
SuperLearner is an ensambeleing library.
Autogluon is a auto-ml framework, here are three cheetsheet for accellerating data science workloads
This paper was referenced by Drew Bagnell in the Coursera RL specilization for using simple quadratic approximation to learn a model in a continous control setting. The…
Pseudocode for common MCMC algorithms
fake data
using entropy to quantify uncertainty in probabilistic models
Understanding the challenges and strategies in multi-task learning
Robust Regression Techniques
Set Up M1 MacBooks for DS & ML
command line cheat sheet macos + zsh + git
How do humans make powerful generalizations from sparse data when learning about word meanings, unobserved properties, causal relationships, and many other aspects of the…
A meme is an idea, behavior, style, or usage that spreads from person to person within a culture. A meme bank would be a zoo for cataloging and breeding memes.
Getting more from your digital marketing agency, my five cents on picking your agency.
Attention for sensor fusion
Excel 2019 for Marketing Statistics in pandas
Language models and explainability
Marketing Research Models
Customer Lifetime Value (CLV) models and Buy Till You Drop (BTYD) models are used to estimate the total value a customer brings to a business over their entire relationship.…
Storytelling and other essentials,
Python Graph Cookbook
Stochastic Gradient Descent - The good parts
The WaveNet paper is kind of old. Yet it seems to come up in various contexts. Some thoughts on this.
Creating Citation Web Components
Wikipedia Hackathon notes
An algorithm for Inlining Citations for Wikipedia articles.
Transfer learning in NLP
writing better code = writing more readable code.
I’ve been excited about JSON-LD, when it came out as it offered a much cleaner way to do SEO. Only later did I realize that it is also a great format to worked with linked…
Different Multilevel Models Types
Concepts, slide commentaries and Lecture notes on Automatic text Summarization by Masa Nekic
Modeling Events.
How to blog like a life-hacker.
A review of the arXiv:2010.11967 paper by Chenguang Wang, Xiao Liu, Dawn Song
Review of the paper on dot product attention for the deeplearning.ai NLP specialization.
numpy melt down.
echo "you won "{two,three,four}"…
Just a little rant on Pandas various contexts
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A/B testing cost and risks and some recommendation.
This paper introduces a simple yet effective regularization technique called dropout, which helps prevent overfitting in deep neural networks by randomly dropping units…
In this paper the authors, investigated the effect of increasing the convolutional network depth on the accuracy in the large-scale image recognition setting. The authors…
How to model human cognition using probabilistic inference
Effective time management is crucial for success in both personal and professional life. With the right approach, you can achieve more in less time while maintaining a…
