Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...

No image is infinitely sharp. For 150 years, it has been known that no matter how ingeniously you build a microscope or a ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

The biggest opportunities don’t come from people searching for your name. They come when someone’s searching for a ...

Combinatorial Optimization: Basics of approximation algorithms. Network flow problems. Interior point methods. 2 Aug 24 Linear Programming Problems and Examples. ch. 1 3 Aug 26 Simplex method: basics ...

Historically optimized: There's a risk of creating complex algorithms that fit historical data but fail in real-market conditions. To start algorithmic trading, you need to learn programming (C++ ...

Ordinary programming ... For example, sorting algorithms turn unordered data into data ordered by some criteria, often the numeric or alphabetical order of one or more fields in the data. Linear ...

Linear regression, also called least squares regression, is the simplest supervised machine learning algorithm for predicting ... from video frames, for example for teaching a computer to play ...