Learning Log: Learning AI While Building AI with AI #1 | First, Implementing the Basics of Machine Learning, 'Linear Regression', in Python

While generative AI like ChatGPT has become a part of our daily lives, perhaps surprisingly few people truly understand the ...

How I Passed the Python 3 Certified Data Analyst Exam in One Month

In September 2026, I passed the Python 3 Certified Data Analyst Exam.My score was 925 out of 1000 points. Since the passing ...
Analytics Insight

What is Vectorization in Data Science? How it Speeds Up Statistical Computing

Overview: Vectorization replaces manual, element-by-element loops with operations that run across entire arrays at once.The ...
eLife

The stability of thought: using experience sampling and brain imaging to determine the contextually bound nature of human cognition

This important work considerably advances our understanding of the nature of ongoing thought across individuals and across task contexts. Using a combination of fMRI brain data and experience sampling ...
MarkTechPost

Nums AI Releases Causilo: A Tabular Foundation Model That Tops TabArena Among Single Models

Nums AI's Causilo tops TabArena Elo among single tabular foundation models, with Apache-2.0 code and research-only pretrained ...
InfoQ

Accelerating Performance by Incrementally Integrating Rust Into Existing Codebase

Lily Mara explains how to avoid high-risk software rewrites through incremental FFI refactoring. She shares how engineering ...
Science

Defective EV-mediated transport of SHH alters neural fate specification in EPM1 epilepsy

The extracellular milieu, including extracellular vesicles (EVs), plays a pivotal role in brain development. In this study, we sought to elucidate the pathogenesis of progressive myoclonus epilepsy ...
Analytics Insight

AI Learning Roadmap: From Beginner to Job-Ready

A practical 2026 AI roadmap covers programming, data, machine learning, deep learning, LLMs, RAG, agents, evaluation, deployment, and portfolio projects for real ...

Python libraries every data scientist should learn

VMPLNew Delhi [India], August 5: Modern data architectures require highly optimized code. A raw Python script cannot process a ten-gigabyte dataset effectively. To solve this problem engineering teams ...
GitHub

NumPy Array - Fast Array Computing for Scientific Python

NumPy Array is an open source Python library for fast numerical computing, multidimensional arrays, linear algebra, and scientific data workflows. NumPy Array is an open source Python library for fast ...