“Radar” is our monthly digest which features links that our engineering team found interesting.

Exploration vs. Exploitation

Link: https://medium.com/@dennybritz/exploration-vs-exploitation-f46af4cf62fe
Shared by: Abhishek Sharma

In Machine Learning, the “exploration vs. exploitation tradeoff” applies systems that want to acquire new knowledge and maximize their reward at the same time. It’s an interesting thought exercise to apply these principles to the choices we make in our lives. Do we try drastically different things to explore what makes us happy, or do we exploit our current situation and knowledge to make the best out of it?

JavaScript Algorithms and Data Structures

Link: https://github.com/trekhleb/javascript-algorithms/blob/master/README.md
Shared by: Amrith Yerramilli

This repository contains JavaScript based examples of many popular algorithms and data structures. Data structure is a particular way of organizing and storing data in a computer so that it can be accessed and modified efficiently. More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data.

ML.NET is an open source and cross-platform machine learning framework

Link: https://www.microsoft.com/net/learn/apps/machine-learning-and-ai/ml-dotnet
Shared by: Akshay Surve

ML.NET is a machine learning framework built for .NET developers. Use your .NET and C# or F# skills to easily integrate custom machine learning into your applications without any prior expertise in developing or tuning machine learning models.

How to build your own Neural Network from scratch in Python

Link: https://towardsdatascience.com/how-to-build-your-own-neural-network-from-scratch-in-python-68998a08e4f6
Shared by: Karthik R

A beginner’s guide to understanding the inner workings of Deep Learning.

Build your own (insert technology here)

Link: https://github.com/danistefanovic/build-your-own-x
Shared by: Ketan Jawahire

Exhaustive list of technology projects built using various programming languages.