Analytics Insight

Data Science: Building Machine Learning Models, Harvard University

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...
InfoQ

Testing Machine Learning: Insight and Experience from Using Simulators to Test Trained Functionality

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
HUB

Novel machine learning method can improve genetic risk assessments for non-white populations

For many diseases and chronic conditions, an individual's genes play a role in their likelihood of developing the disease. While some inherited diseases, such as cystic fibrosis or sickle cell anemia, ...

Accelerating drug combination discovery with machine learning

Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude ...

A urine-based biological aging clock: Machine learning and microRNA offer accurate prediction

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...
AZOM

Harnessing AI and Machine Learning for Advanced Materials Testing

Materials testing is critical in product development and manufacturing across various industries. It ensures that products can withstand tough conditions in their ...
Analytics Insight

10 Most Common Machine Learning Mistakes and Tips to Fix Them

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...
Network World

Google AI expert explains the challenge of debugging machine-learning systems

Google Director of Research and renowned artificial intelligence (AI) expert Peter Norvig, presented an entirely different side of AI and machine learning at the EmTech Digital conference. He compared ...
Michigan Technological University

Researchers Apply Machine Learning and AI in Search of Less Costly Electronic Structure Method

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...