Probabilistic Programming Languages
One of the most exciting and groundbreaking areas of research in machine learning today is that of probabilistic programming languages, and attempting to unify general purpose programming with probabi…
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Open Computing and Artificial Intelligence
One of the most exciting and groundbreaking areas of research in machine learning today is that of probabilistic programming languages, and attempting to unify general purpose programming with probabi…
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In September 2018, I was fortunate enough to be approached, and soon thereafter commissioned, by Packt Publishing to write a book on Machine Learning with Apache Spark. After 3 frantic months of juggl…
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In a previous article entitled 'Real-Time Data Pipeline with Apache Kafka and Spark' I described how we can build a high-throughput, scalable, reliable and fault-tolerant data pipeline capable of fetc…
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In my last article entitled 'Real-Time Data Pipeline with Apache Kafka and Spark', I used Apache Flume to fetch tweets from the Twitter Stream using the demo Flume Twitter Source that is bundled with …
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It was in 2012 when I first heard the terms 'Hadoop' and 'Big Data'. At the time, the two words were almost synonymous with each other - I would frequently attend meetings where clients wanted a 'Big …
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One of the challenges that I often encounter when designing and developing graph-based systems is how to render entities (graph vertices) onto a map in an environment where there is no internet access…
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