Moo… There is this very intriguing Enterprise Car Rental commercial on TV (I’m old school and still watch my commercials on a television) that shows a glimpse into fu...
I was given 3 GB of Machine Generated data being fed by 120 sensors (5 records every second) in an excel format. The task in hand was to mine out interesting patterns, if...
Machine learning applications require powerful and scalable computing systems that can sustain the high computation complexity of these applications. Companies that are w...
PyTorch is known for being a clean framework, and hence it was a challenging task to achieve the production capability and flexibility needed for research. I think that t...
The supply chain of today is governed by the manufacturer, wholesaler, retailer, and businesses operating in between. Not only has the concept of a supply chain progresse...
The Future of Investment Banking In this article, we look at how technology such as robotic automation, artificial intelligence and machine learning is changing and benef...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
Cross validation is a technique commonly used In Data Science. Most people think that it plays a small part in the data science pipeline, i.e. while training the model. H...
Here I want to present my new book on advanced algorithms for data-intensive applications named “Probabilistic Data Structures and Algorithms in Big Data Applicatio...
Summary: Especially in consumer goods and retail the value of AI/ML is only part of the story. AI/ML will increasingly need to integrate with helper technologies to del...