Big Data, as we all know, can now seen to be streaming into businesses as well as all over the Internet from various data sources may it be sensors, social media data, reviews, customer data, or even more. Many big recognized companies like Google, IBM, Microsoft and Amazon have a hand in helping businesses process big data by building Machine Learning APIs so that they can in return make the best optimum use of the machine learning technology.
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This article describes the growing relevance of Machine Learning used in various kinds of analytics along with an overview of Deep Learning. It provides an end-to-end process for using Machine Learning and Deep Learning and the options for getting started on IBM® Power Systems™.
Sourced through Scoop.it from: www.ibm.com
good read
Machine learning experiments can take a long time. Hours, days, and even weeks in some cases. This gives you a lot of time to think and plan for additional experiments to perform. In addition, the average applied machine learning project may require tens to hundreds of discrete experiments in order to find a data preparation …
Sourced through Scoop.it from: machinelearningmastery.com
nice read