Why T-shaped knowledge is becoming more important than ever in the age of AI

AI tools are fundamentally changing software development. Investing in foundational knowledge and deep expertise secures your career long-term.
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
InfoQ

Are You Missing a Data Frame? The Power of Data Frames in Java

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

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 ...
IEEE

DP-FedCMRS: Privacy-Preserving Federated Learning Algorithm to Solve Heterogeneous Data

Abstract: In federated learning, non-independently and non-identically distributed heterogeneous data on the clients can limit both the convergence speed and model utility of federated learning, and ...
GitHub

DeepEcon：Your one-stop Python package for econometric algorithms

If you need support for a new econometric algorithm or have an idea for an implementation, please submit your request via GitHub Issues. After evaluation, we'll add it to our DEVPLAN for future ...
IEEE

Comparative Analysis of Online and Offline Learning Algorithms with Data Drift Detectors in Multi-Target Time Series

Abstract: In machine learning, addressing data drift is crucial due to its profound impact on model accuracy over time. This study investigates the performance of online and offline learning ...