Machine learning tools – A landscape

There are several open source and commercial Machine learning frameworks and tools in the market that have evolved over the last few decades. While the field of Machine learning itself is evolving in building powerful algorithms for diverse requirements across domains, we now see a surge of open source options for large-scale Machine learning that have reached a significant level of maturity and are being widely adopted by the data science and Machine learning communities.

The model has changed significantly in the recent past, and researchers are encouraged to publish their software under an open source model. Since there are problems that authors face while publishing their work in using algorithmic implementations for Machine learning, any work that is reviewed and improvised through usage by the data science community is considered to be of more value.

The following figure shows a concept model of some important commercial and open source Machine learning...