Analytics Insight

Data Jujitsu and More: Books That Teach Analysts How to Think

Overview Data science books help beginners clearly understand analytics, algorithms, and real-world industry applications.The ...

The code is not enough: Why India's IT professionals need an educational edge in

Why India’s IT professionals are realising that learning on the job, while valuable, may no longer be enough, and what to do about it.

From guesswork to guidance: How machine learning speeds dopant design for water-splitting photocatalysts

MLIP calculations successfully identify suitable dopants for a novel photocatalytic material, report researchers from the ...

AI doesn’t ‘see’ the way that you do, and that could be a problem when it categorizes objects and scenes

AI systems, however, organize visual input in fundamentally different ways than people – not because they are machines, but because of how narrowly they are trained. When an AI ...
IEEE

A Review of Machine Learning and Deep Learning Trends in EEG-Based Epileptic Seizure Prediction

Abstract: Epileptic seizures impair patients’ health and quality of life, and electroencephalography (EEG)-based prediction enables timely intervention. Early work on epileptic seizure prediction ...
Frontiers

Comparative machine learning to predict acute kidney injury in traumatic brain injury: a MIMIC-IV cohort with SHAP interpretation

Overall, SHAP analysis of the XGBoost model not only confirmed the clinical relevance of the key predictors but also enabled personalized interpretation of model decisions, bridging the gap between ...
marktechpost

A Coding Guide to Build a Scalable End-to-End Analytics and Machine Learning Pipeline on Millions of Rows Using Vaex

In this tutorial, we design an end-to-end, production-style analytics and modeling pipeline using Vaex to operate efficiently on millions of rows without materializing data in memory. We generate a ...
IEEE

Explainable Machine Learning for Malware Detection: A SHAP-Based LightGBM Framework

Abstract: In contemporary malware detection, machine learning has proved an essential component; many models are not transparent, making them less trustworthy and rarely suitable for security use. In ...
Frontiers

Network toxicology reveals key genes of amiodarone induced pulmonary fibrosis: based on machine learning and SHAP analysis

Amiodarone (AMD), a highly effective Class III antiarrhythmic drug, has its clinical utility limited by the risk of inducing a serious adverse effect, amiodarone-induced pulmonary fibrosis (AIPF). The ...