"The purpose of (scientific) computing is insight, not numbers". - Richard Hamming What is a data product? At its core, it’s something that turns raw data into actionable insights, predictions, or automation. Think of dashboards, recommendation systems,
Stateful dataflow graphs in tensorflow
TensorFlow is google’s second-generation system for the implementation and deployment of large-scale machine learning models. It is flexible enough to be used both in research and production. Computations in TensorFlow are expressed as stateful dataflow graphs. Essential Vocabulary: Basic
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
Business Process Analytics
In this post we learn about the basics of process analytics. This is part 1 of a series of posts in which we explore various topics surrounding process analytics. A business process is a “collection of related and structured activities
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
Removing Image Compression Artifacts
tldr: DCT compression methods can introduce visible artifacts at block boundaries of images. In this post we take a look at an algorithm proposed by Luo and Ward [1] for the removal of edges of the blocks in regions that