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In realworld production systems, traditional science a. The common perception of machine learning is that it starts with data and ends a model. Deep learning has shown tremendous successes, yet it often requires a lot of effort to leverage its power.
With use of basic example, this video shows y. Hep is a dat. In my talk i will discuss and show examples of using apache hadoop, hive, mxnet, opennlp, nifi spark for deep learning.
This video tutorial has been taken from deep learning for nlp using python. Comcast is one of the largest cable and telecommunications providers in country built on decades mergers, acquisitions, subscriber growth. Existing frameworks require writing.
You can learn more and buy the full course here [http//bitly/2sioclw] fin. This talk will provide a practical deep dive on how to build industryready machine learning and data pipelines in python.