Machine Learning

Why use a Recommendation Engine?

25 Jan: Why use a Recommendation Engine?

A Recommendation Engine plays a vital role in increasing the chances of a user buying a product. In today’s world, with tons of data from searched products available (thanks to the digital data explosion), it is very easy to find what people are likely to buy – just by looking at their ‘intent’ data.

CODE YOUR CODE

15 Sep: CODE YOUR CODE

Developers are often interested in learning about the software industry’s best practices, so that they can improve the robustness and efficiency of their code. The best way to learn is by reading the source code of programs that are in production and running heavy workloads.

Using-Word2Vec-from-Clojure

05 Jun: Using Word2Vec from Clojure

For classifying or clustering data in the context of a machine learning problem, the first step is to create a representation of data, usually called the Feature Vector. Datasets consisting of images or audio files have feature vectors that are already in numeric form.