Dan Clark is KDnuggets Assistant Editor and Contributor. He currently works as an Interactive Journalist at The Times and The Sunday Times, having recently achieved an MSc in Computational and Data Journalism at Cardiff University. He has experience in web development, SQL, Data Visualization, and related technologies. He tweets at @Dan_Clark5.
Docker is an increasingly popular way to create and deploy applications through virtualization, but can it be useful for data scientists? This guide should help you quickly get started.
A good programmer or software developer should have a basic knowledge of SQL queries in order to be able retrieve data from a database. This cheat sheet can help you get started in your learning, or provide a useful resource for those working with SQL.
Machine Learning Yearning is a book by AI and Deep Learning guru Andrew Ng, focusing on how to make machine learning algorithms work and how to structure machine learning projects. Here we present 7 very useful suggestions from the book.
We bring to you the top 16 open source deep learning libraries and platforms. TensorFlow is out in front as the undisputed number one, with Keras and Caffe completing the top three.
Deep Learning is the newest trend coming out of Machine Learning, but what exactly is it? And how do I learn more? With that in mind, here's a list of 8 free books on deep learning.
D3 is a JavaScript library that continues to grow, both in terms of popularity and possibilities, capable of creating dynamic, interactive visualisations. This tutorial provides a step-by-step guide on how to create a basic bar chart in d3, populated with data from a csv file.
Data Scientist guide for getting started with Docker
SQL Cheat Sheet
Top 8 Free Must-Read Books on Deep Learning
5 Things You Need to Know about Big Data