Nature

Hyperparameter Optimization in Machine Learning Models

Hyperparameter optimization lies at the core of developing robust and reliable machine learning models. Unlike parameters learned during training, hyperparameters are set prior to the learning process ...
Analytics Insight

Machine Learning and AI with Python (Online), Harvard University

Machine Learning and AI with Python" is an intermediate online course on edX, supported by Harvard SEAS. It teaches AI-driven decision-making using Python, cove ...
Analytics Insight

AutoML in 2026: How It Transforms Data Science Processes

Overview: AutoML is transforming data science by automating data preparation, feature engineering, model selection, and deployment workflows across enterprises.
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Aalto University

Several Postdoctoral researcher and 1-2 doctoral researcher positions in machine learning in Kaski Lab, ELLIS Institute Finland and Manchester Centre for AI Fundamentals

Samuel Kaski’s two-part research lab in ELLIS Institute Finland (Probabilistic Machine Learning, Aalto University) and the Centre for AI Fundamentals in University of Manchester, is searching for ...
TMCnet

WiMi Deploys Quantum Computing Optimization Based on Multi-Objective Deep Reinforcement Learning

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, is researching quantum computing optimization based on ...