Artificial intelligence (AI) frameworks play an important part in machine learning. There are more than a dozen open-source AI frameworks available to data scientists and
AI frameworks like TensorFlow and Pytorch have out-of-the-box capabilities that perform parallel processing, breaking down tasks into parts, then distributing the workloads across multiple GPUs, and nodes.
Hadoop is an important building block to some organizations because it’s highly scalable and redundant. Large data volumes can be distributed.
There are 300+ databases in the market. However, there are few databases developed specifically for machine learning. There is one product called MLDB which is
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