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 ...

Daniel D. Gutierrez, Editor-in-Chief & Resident Data Scientist, insideAI News, is a practicing data scientist who’s been working with data long before the field came in vogue. He is especially excited ...

Machine learning is a wildly popular field of technology that is being used by data scientists around the globe. Mastering machine learning can be achieved via many avenues of study, but one arguably ...

Then to optimize over that linear model they’ll show you gradient descent, and again you’ll note, “Well, that’s just calculus!” Support vector machines? Merely convex optimization. Naive Bayes? Just ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

You write it as 2/π! What's the point in changing it to another representation? There's no benefit, and it's incorrect. You're right that there's no finite decimal representation of 2/π, so why would ...

Machine Learning and Artificial intelligence enable the learning of complex nonlinear patterns from high-dimensional datasets. In ESAM, we are interested in leveraging or developing new data-driven ...