Apache Spark Machine Learning - Java Examples
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Updated
Sep 10, 2016 - Java
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Apache Spark Machine Learning - Java Examples
Implementation of Data Science Algorithms using Java
Technology for Independent Neural Automation for AUN Appliances
Uses Weka to perform Machine Learning on two DataSets.
Java machine learning framework.
Tenserflow Classify Plants and Animals
A UI for a flickr image search with the aim to create datasets for machine learning task.
DeepLearning4J UI Viewer
Machine Learning Algorithm. (Tested only for Educational Purposes)
Machine Learning Algorithm. (Tested only for Educational Purposes)
Java Deep Learning Library
A few simple tasks solved with evolutionary algorithms
Evolving Neural Networks for a Flatland Agent
This repository will hold projects related to AI, ML and Game AI
Predict person behaviour used their data which gathered by smartphone
Repository for experiment with TensorFlowLite
A genetic algorithm implementation