“containers and micro-services using component services from different cloud providers.” strategy wise it denotes the corporate strategy of not being…
Pre-reqs for ML: Data Pattern Mining
Applying #MachineLearning techniques to sift through large amounts of data in an effort to uncover #patterns, is #DataPatternMining. #DPM is…
The sequence of events?
Look carefully is the succession of events and your observations based on your biases or is it based on objective…
Eyeballing variance in higher dimensional space
In this section we’re going to be talking about dimensionality reduction as a technique to map one higher dimensional space…
Meta-data : keep it dynamic and fresh
Maintaining meta data is as critical as keeping your DataLake fresh, and the data in it current and avoid stale…
Traceable Machine Learning Governance: Standards, Organizational Initiatives and Automation
In the age of voluminous unstructured data that can be curated manually, semi-automatically or eventually, with a fuller degree of…
Enabling the storage of long-term dependencies
In a recurrent neural network we need to be able to store the long-term dependencies that has been encountered through…
Arsanjani’s Top Ten Trends in AI and ML
Below the buzz, underlying the hype will be some of the concrete real world let’s really use #RealAI to solve…
Content plus intelligence is context
To Exploit Unstructured Data you need Intent-Based Architectures
#MachineLearning #DataScience #Microsegmentation #Context-aware #ContextualRelevance #Intent-based #Intent-based Architectures Chatbots have started to augment the human computer interactions in ways that…