It’s not easy to put the intelligence in artificial intelligence. Current machine learning techniques generally rely on huge amounts of training data, vast ...

How much math knowledge do you need for machine learning and deep learning? Some people say not much. Others say a lot. Both are correct, depending on what you want to achieve. There are plenty of ...

Gain a deeper understanding of artificial intelligence with Machine Learning Fundamentals: Principles and Applications. This course explores core concepts and practical uses of supervised and ...

The study, titled "Machine Learning Technique for Carbon Sequestration Estimation of Mango Orchards Area Using Sentinel-2 Data," is led by Prof. Sittichai Choosumrong from the Department of Natural ...

Computers have made it possible to collect vast amounts of data from a wide variety of sources. It is not always clear, however, how to use the data, and how to extract useful information from them.

Navigating the world of machine learning can often feel like stepping into a vast, intricate maze. Whether you’re a seasoned professional or just starting out, it’s easy to feel overwhelmed by the ...

Ahead of the Big Data & Analytics for Insurance Event, PEX Network caught up with four of the key speakers, Jason Cabral, Head of Pricing and Management Information at Zenith Insurance, Dan Fiehn, ...