Neural Designer – Taming Neural Networks

Summary Neural Designer is a software tool for advanced analytics, and includes tools for descriptive, diagnostic, predictive and prescriptive analytics. The objective is to get actionable...

Enova Decisions Predictive Solutions

Enova Decisions Review Summary Enova Decisions provides automated real-time decisioning services to businesses operating primarily in loans and banking. The parent company has gained over...

10+ Machine Learning as a Service Platforms

Updated 21 March 2016 Machine Learning as a Service Platforms 2016 Machine learning is a nebulous term used to address capabilities such as face recognition, speech...

PurePredictive Review

PurePredictive Review. PurePredictive makes some pretty big claims about its cloud based analytics platform, and interest from the likes of Microsoft, Google, Facebook, Oracle and...

Revolution Analytics Review

Revolution Analytics Review Summary Microsoft’s acquisition of Revolution Analytics was not just a good move - it was a brilliant move. Revolution Analytics supplies an...

TensorFlow – Google’s New Machine Learning Library

TensorFlow - another of Google’s Machine Learning Babies Tensors are the main mathematical constructs used in Albert Einstein’s General Relativity. But now they are all...
big data power law

5+ Big Data Analytics Tools

Big data analytics is moving on. Until recently it meant wrestling with MapReduce and glueing a dozen or more components together to make a...
AI and Machine Learning

30+ Predictive Analytics Software

Predictive Analytics Software Summary Predictive analytics works on the simple notion that historical data contains useful patterns of behavior that can be discovered by apply...

KNIME Review

KNIME Review Summary KNIME offers an open source visual workbench for various forms of data analysis, including visualization, profiling, data transformation, reporting, data mining and...

10+ Free Data Mining Clustering Tools

Data mining clustering methods are usually used for exploratory purposes and to gain insights into data. The most commonly used methods include k-Means, agglomerative hierarchical...