Tools / Libraries for Machine Learning
“TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them.” – tensorflow.org
“IBM Watson Analytics is an advanced data analysis and visualization solution in the cloud that guides you through analysis and discovery of your data.” – ibm.com
“MLlib is Spark’s machine learning (ML) library. Its goal is to make practical machine learning scalable and easy. At a high level, it provides tools such as: ML Algorithms: common learning algorithms such as classification, regression, clustering, and collaborative filtering. Utilities: linear algebra, statistics, data handling, etc.” – spark.apache.org
“Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.” cs.waikato.ac.nz