Cloud-based Machine Learning for Fast Big Data Prediction
Yottamine Machine Learning Services provides data scientists and analytical programmers with a family of high performance Support Vector Machine (SVM) algorithms for solving complex machine learning problems across a wide range of industries and applications.
Yottamine is built to handle
- Linear or non-linear problems
- Corporate data or Big Data
- Low or high dimensions
- Sparse or dense features
Yottamine is powerful, bringing together sophisticated machine learning techniques with highly parallel systems programming to gain unprecedented levels of both speed and accuracy.
Best of all, Yottamine’s powerful machine learning algorithms operate in the Amazon AWS computing cloud, or on-premises in a Eucalyptus private cloud, improving flexibility, affordability, and scalability.
YMLS includes these powerful Support Vector Machine algorithms:
- Linear
- A high-performance conventional linear SVM for large scale classification tasks
- Nearest Neighbor
- Highly parallel non-linear SVM for Big Data prediction on Hadoop
- Gaussian and Approximated Gaussian
- Easy to use, highly accurate non-linear SVM with automated parameter selection
- Polynomial
- Fast, compact non-linear SVM for predicting polynomial-ordered behaviors
To learn more about YMLS, click here.
