Machine Learning

Basics

• A process by which an algorythm can produce other algorhythms, code, and even CAD based off of training data, and training
• many methods each with their own advantages
• One near essential application is complex problems such as autonomous navigation, problem solving, object recognition, etc
• Being software, there are many open source tools
• Main requirements are Training Data
• Can create solutions to problems humans could never make
• Can sometimes be hard to explain the core of the "method" it comes up with
• See the CPG Grey Video On It
• Can be a buzzword so keep that in mind when reading headlines etc
• NEED EXPERT EXPLAINING

See Also

• Evolved Antennae
• TensorFlow
• Accord.NET
• Knime
• Shogun (Software)
• Mlpack
• Oryx 2
• Eclipse Deeplearning4j
• Scikit-learn
• Veles
• Nervana Neo

Useful Links

• The Wikipedia Page on Machine Learning
• A Video by the youtbe channel CPG Grey Video On It
• A Website Listing various Open Source Tools