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Apache Airflow , Azure HDI clusters : Scenarios for hybrid environments

AWS and Azure are today’s leading cloud providers with plethora of offerings for data, analytics and ML workloads.In the recent past cloud native start-ups had the liberty to chose their cloud environments based on the product path forward. In some cases we have even seen that it makes more sense to build one’s own Cloud platform with PCF etc. The case

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In search of Cluster Compute Clarity – Part-2

In part-1 AI in micro services we discussed at a high-level the various components of development and integration, with a real-world example of optimizing customer care dynamics with predictability. I also pointed out the need for a blue-print on separation of Concerns in a hybrid cloud multi-vendor enterprise environment and the need for a common collaborative platform based on Infrastructure

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Auto containerization of large monolithic application with the help of Machine learning

Continuation …. In search of Cloud compute strategy : In the previous two articles, we understood the bunch of advantages of containerization, apart from establishing cleaner boundaries, separation of concerns, team ownership delineation and resource allocation. Based on my experience 2 Cores and 8 GB pod the common unit containerization – micro services architecture. Remember micro services architecture patterns are

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ML Algorithm series.

Classification , Clustering , Decision tree and the concept of Entropy splitting criterion information gain ex: A mortgage company wants to risk assess loan applicants ! a utility company wishes to classify potential defaulters to design preventive measures ! An online retailer wants to giveaway budget coupons for maximum utilization ! A process manufacturer wants to optimize operational equipment efficiency!….the

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Algorithm Series: Classification

Jupyter notebook and dataset for this topic is available at ( https://github.com/kirankbee/ads-Python/blob/master/guassian-normal.ipynb ). I recommend you to make sure to read the explantion below , i am sure it is worth your time. Bayesian Classifiers are statistical classifiers which can predict if a given tuple belongs to a particular class. Bayesian classifier is a supervised algorithm with most recent improvements