About us and Machine Learning

We are a team of professionals dedicated in delivering high quality total solutions to the Business Community.

Machine Learning automates the development of analytic models that can learn and make predictions on data. It has been one of the fastest growing disciples on data, within the world of statistics and data science.

The barrier to entry has been high in the past, in terms of money-cost but also in the need for specialized talent. In the past, data science professionals were intimidated by the words “algorithms” and “machine learning statistics.” For many years these capabilities were delegated to people with PhDs, experts and gurus. That was before Open Source.

Today this perception is changing. The perception of these key functions changes rapidly by democratizing computer learning at the same time.

There are tools now that are open-source, whole computing frameworks, that have all the features required to use or develop algorithms and machine learning models. They include sets of core libraries and machine learning models and include sets of libraries that enable various analytic methods, which can process data from many sources. These tools have found traction at all levels, from startups to large enterprises and industries.

Python, R, RapidMiner, Orange, Apache Spark, Java, Javascript, TensorFlow, to name a few, have dedicated libraries for common machine learning and statistical algorithms that have become the gateway technology to machine learning. Just as web browsers opened up the internet and brought us up to the digital era, open source frameworks is democratizing machine learning now.

Thus Machine Learning is now entering the mainstream, serving as the backing methodology for competitive advantage in a wide array of industries, from retail to finance to security, from telecommunications to consumer goods to sport teams to space explorers.

And this is happening now and unimaginably fast.