Accord.MachineLearning contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications.
Accord.MachineLearning contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications.
Customer Reviews
cedric h.
Advanced user of Accord.MachineLearningEverything. Accord provides the most robust framework for writing a diverse set of ML solutions.
It is extremely simple if you have a basic understanding of ML. If you are light on your understanding of ML then you will find the documentation useful in that it provides ample examples to refer to.
Nothing. The toolkit does what you need it to do.
Pattern recognition for financial markets.