Kubernetes in 10 minutes
Kubernetes is a technology that allows us to isolate an application. That is good but how can we scale this? Of course, we should create new containers. But, how many con...
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Docker in 10 minutes
Software is always not only a set of instructions but also a context that manages, interacts and executes these instructions. At the start of developing, the engineer con...
Key Graph Based Shortest Path Algorithms With Illustrations – Part 1: Dijkstra's And Bellman-Ford Algorithms
While many of the programming libraries encapsulate the inner working details of graph and other algorithms, as a data scientist it helps a lot having a reasonably good f...
10 Node JS Advantages
What are the capabilities and advantages of Node.js and which applications definitely win with this technology? What is Node.js? Node.js technology is ten years old. It i...
NeurIPS 2019 – analysis of papers by themes
You can always learn a lot from the papers presented at NeurIPS There is some good analysis already on the web. From Chip Huygen – neurips 2019 analysis and from David ...
Ontologies and Semantic Annotation. Part 1: What Is an Ontology
Ontologies and Semantic Annotation. Part 1: What Is an Ontology In the abundance of information, both machines and human researchers need tools to navigate and process it...
10 Visualizations Every Data Scientist Should Know
This article is by Jorge Castañón, Ph.D., Senior Data Scientist at the IBM Machine Learning Hub. Data visualization plays two key roles: 1. Communicating results clea...
The 2019 Guide to Conquer Data Breaching
How secure is your data? What measures do you take to hide your confidential data? Can you confidently say that data breaching stands nowhere close to your security? Data...
10 Visualizations Every Data Scientist Should Know
Ancient ruins are sometimes discovered after long years investigating regions of the world covered by dense jungle or giant forests. The feeling of an archaeologist at th...
Linear Regression Analysis – Part 1
Who should read this blog: Someone who is new to linear regression. Someone who wants to understand the jargon around Linear Regression Code Repository: https://github.co...