Analytics Insight

Top Pandas Courses and Certifications for Python in 2026

Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
Analytics Insight

Data Scientist, Demand and Supply Planning, Intel

Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...
IEEE Spectrum on MSN

Can AI find physics beyond the standard model?

AI is searching particle colliders for the unexpected ...
Frontiers

Machine learning-based predictive model for immune checkpoint inhibitors response in gastrointestinal cancers

Introduction: Gastrointestinal (GI) cancers present significant clinical challenges characterized by dismal survival outcomes and suboptimal prognoses. Currently, only partial indicators are available ...
Frontiers

Comparative analysis of deep learning and radiomics models in predicting hepatocellular carcinoma differentiation via ultrasound

Objective: This study aimed to develop and compare predictive models for hepatocellular carcinoma (HCC) differentiation using ultrasound-based radiomics and deep learning, and to evaluate the clinical ...
Microsoft

Python+Machine Learning tutorial – Data munging for predictive modeling with pandas and scikit-learn

Building predictive models first requires shaping the data into the right format to meet the mathematical assumptions of machine learning algorithms. In this session we will introduce the pandas data ...