“containers and micro-services using component services from different cloud providers.” strategy wise it denotes the corporate strategy of not being … More

Applying #MachineLearning techniques to sift through large amounts of data in an effort to uncover #patterns, is #DataPatternMining. #DPM is … More

Look carefully is the succession of events and your observations based on your biases or is it based on objective … More

In this section we’re going to be talking about dimensionality reduction as a technique to map one higher dimensional space … More

Maintaining meta data is as critical as keeping your DataLake fresh, and the data in it current and avoid stale … More

In the age of voluminous unstructured data that can be curated manually, semi-automatically or eventually, with a fuller degree of … More

In a recurrent neural network we need to be able to store the long-term dependencies that has been encountered through … More

Below the buzz, underlying the hype will be some of the concrete real world let’s really use #RealAI to solve … More

Context & Problem. Although it typically takes up more than 70% of the Data Science Project life cycle, Data Preparation … More