How do companies benefit when machines learn?
Machine Learning or ML is a branch of Artificial Intelligence (AI) that mainly consists of mathematical and statistical models that help machines to learn based on data and is currently being the development engine of many companies. For some years now, organizations have been interested in developing image recognition, shape recognition, understanding of natural language -that studies the interactions between computers and human language- among others, in order to improve th
Data fundamentals on AWS: Data Pipelines
As our world becomes more and more data-oriented, we need good conceptual frameworks for communicating our ideas and for making the best design decisions. On one hand, this blog post describes a mental model of a data processing pipeline with two main goals: to establish common language and concepts and to help us to design data pipeline architectures following the best practices. From a practical standpoint, this framework will guide you in designing and evaluating any data
Introducing ec2-instance-selector
When provisioning a spot fleet, getting the correct instance type can be a little bit overwhelming, log in to the console, look for instance capacity, etc That's why AWS provides us a really useful tool from the cli, ec2-instance-selector (https://github.com/aws/amazon-ec2-instance-selector) This makes our lives much easier. You just need to run the command passing resource criteria like vcpus, network performance, ram, etc. Be sure to have your AWS credentials loaded when yo
