History of Deep Learning

Deep Neural Networks (DNNs) are neural networks with architecture consisting of multiple layers of perceptrons, designed to solve complex learning problems. Deep Neural Networks focus on the need to process and classify complex, high-dimensional data, requiring the use of a

What makes a Great Hacker(maker) ?

“Let me try to explain to you, what to my taste is characteristic for all intelligent thinking. It is, that one is willing to study in depth an aspect of one’s subject matter in isolation for the sake of

Getting started with Data Engineering in Spark

“Overall, machine learning systems can be thought of as a machine learning core — usually an advanced algorithm which requires a few chapters from Ian’s book to understand — surrounded by a huge amount of software engineering. The engineering can be

Collaborative Filtering Tutorial

Recommendation system is a specific type of information filtering technique that attempts to present information items (such as movies, music, web sites, news) that are likely of interest to the user. Traditionally, there are two methods to construct a recommender