Category Archives: data science

Linear Regression for Data in Python

First the code then a description of the key points concerning Linear Regression. Let us consider the colon cancer data. The data has been taken in csv form. Here is a code in Python to compute Linear Regression based computations. The code wraps up all the internal processing behind Linear Regression. import pandas as pdimportContinue reading “Linear Regression for Data in Python”

Are Generative Models Mugging Parrots?

#AI #Generative_Models Some say these complex deep learning models are mere stochastic mugging parrots. Well, what is the answer? Yes or not exactly. Let’s argue about it. If you take one or two layers in the learning model, then you can say that yes there is some kind of mugging. But here in live models,Continue reading “Are Generative Models Mugging Parrots?”

The Master Robots: AI and Tech

#futurist #future #scific #ai #artificialintelligence This article presents soon-to-come robots. This is based on current developments in AI and Robotics. All these are possibilities for the future of Robotics, AI, and Tech. The future may not be exactly the same for these Robotics applications but somewhat may revolve around these facts as explained here inContinue reading “The Master Robots: AI and Tech”

AI as a Threat versus Other Scientific Fields

#AI Like other scientific disciplines, Artificial Intelligence (AI) is also a scientific discipline. The question is how safe is it? If developed in the right way, it would be a boon to other scientific disciplines and to its own progress as well as a help to mankind. But if it is left open then itContinue reading “AI as a Threat versus Other Scientific Fields”

The Good AI and the Bad AI — Part I

Here is a description of what constitutes a Good AI and what forms part of the Bad AI. There has been tremendous progress in AI, irrespective of the fact that it is a good AI or it is a potentially harmful AI. Let us discuss what is in good AI and what is in badContinue reading “The Good AI and the Bad AI — Part I”

Causal Reasoning and LLM Paper Review

The following paper is discussed in this article. Causal Reasoning and Large Language Models: Opening a New Frontier for Causality. Kıcıman and Ness et al. (2023) Paper Review Causality — The automatic detection relationship between cause and effect. For illustration, consider two concepts that are discussed in some text, say medical text. Let the conceptsContinue reading “Causal Reasoning and LLM Paper Review”

Python based Particle Swarm Optimization for a function optimization

Here is a quick introduction to Particle Swarm Intelligence based optimization and its implementation in Python. As the name states, Particle Swarm Optimization (PSO) is an optimization algorithm based on the intelligence of swarm learning. Swarms of birds, ducks, and insects often follow a pattern to achieve their activities. PSO have many application. Lets startContinue reading “Python based Particle Swarm Optimization for a function optimization”

Optimizing a function with Genetic Algorithm in Python

Function Optimization means how to find the maximum and/or minimum of the function in a given domain. The aim is to find the optimal value viz. maximum or minimum value of a function. To explain the process in Python we take an example of the Rastrigin function. Let us understand what this function means first.Continue reading “Optimizing a function with Genetic Algorithm in Python”

Are the AI leaders pessimist or optimists about AI Future

#AI Note: The article in original is on authors website nidhikayadav.com The current AI leaders of top companies running AI seem to be pessimistic about AI development. AI is like a baby in youth now, it would do mistakes, for sure, the concern is the tolerance and the mother-like warmth it needs to grow intoContinue reading “Are the AI leaders pessimist or optimists about AI Future”

GPT can be understood as composition of functions or just as a Black Box?

Here are some points Many people say they can’t understand a GPT model. Well then consider it as a black box, which gives answers. Even the black box here can be understood if given time and resources to understand. The aim to understand it is the fact that the inputs are all predefined text articlesContinue reading “GPT can be understood as composition of functions or just as a Black Box?”