This rubric covers articles that focus primarily on Python code, the Python language, or libraries that are primarily within the Python sphere, such as Pandas or Numpy.
This list covers well-known as well as specialized libraries that I use rather frequently. Applications include GenAI, data animations, LLM, synthetic data generation and evaluation,… Read More »30 Python Libraries that I Often Use
This is my third article related to LLM and GPT-like apps. See the first one, “Why and How I Created my Own LLM from Scratch”,… Read More »Better LLMs with Shorter Embeddings: Part 3
Without using any API or any Python library, yet delivering better results. You would think this is a massive undertaking. However, it took me less… Read More »Why and How I Created my Own LLM from Scratch
When people talk about Large Language Models, the most common topics are text summarization, text generation, and answering prompts with GPT. Yet, this is just… Read More »GenAI: Synthesizing DNA Sequences with LLM Techniques
GPT can be a great tool to write or summarize articles, and as a chatbot. But one of the most popular uses is to find… Read More »The Best Kept Secret About LLMs
These days, it is as if AI is just about GenAI (generative AI), LLMs (large language models) and very large models. It has eclipsed computer… Read More »Beyond LLMs and Trillion-Parameter Models
In the last two years, I published 5 machine learning and AI books, including one on synthetic data by Elsevier. This represents over 800 pages… Read More »New Book: Statistical Optimization for GenAI and Machine Learning
Introduction Dear Data Engineers, this article is a very interesting topic. Let me give some flashback; a few years ago, someone in the discussion coined… Read More »Understand the ACID and BASE in modern data engineering
Hello, data enthusiast! In this article let’s discuss “Data Modelling” right from the traditional and classical ways and aligning to today’s digital way, especially for… Read More »Data modeling techniques in modern data warehouse
Image Source: Author Introduction Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, Data… Read More »A Detailed Guide for Data Handling Techniques in Data Science
