Supervised Learning – Teaching the machine how to do tricks
A task-oriented approach to Machine Learning allows us to divide it into three categories: supervised learning (data are labelled according to some criteria), unsupervised learning (no labels exist for the data), and reinforcement learning (no data is directly available, only...
Transitioning from raw to high quality data by means of Data Pre-Processing
Some of the most important pillars in Data Science and Machine Learning supporting the ability to extract meaningful insights and knowledge from the data are: 1) how representative are those data of the phenomenon being measured and 2) the quality...
MLOps – Measure your maturity
MLOps is not a thing from the future. Trust us. Just like DevOps, MLOps it’s not only about technology, it’s about processes, their operationalization and essentially the people involved. In this blog post, we will be sharing a maturity model…
A quick dip into Artificial Intelligence and Machine Learning
Current developments in areas such as Computer Vision and Natural Language Processing continue to push us towards technologies that are expected to have a profound and long-lasting impacts in our daily lives (for example, autonomous driving and speech-to-speech translating systems,...
Apache Superset 1.0
Apache Superset is a opensource modern data exploration and visualization platform. Major version - 1.0 As we noticed here in our blog, Apache Superset 1.0 (actually 1.0.1) is out and it is a major milestone. Big one. Demo Instead of...
Exploring a real-time architecture with the world’s fastest database
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Building the Future 2021 – A review
Building the Future is done for this year. Microsoft Portugal delivered again, made it happen and set the bar for fully remote events. Disclaimer As Microsoft partners, we sponsored the event, but this content is not sponsored. Microsoft is our...
Do I really need Machine Learning?
There has been a recent hype in many business areas where many ‘data evangelists’ have been selling Machine Learning (ML) as a Holy Grail, promising that it will allow companies not only to solve most of their data-related problems but...
Data Cognitive Apps
Data Cognitive Apps are cross domain platforms, systems and APIs for solving a specific problem with intense use of cognitive intelligence and artificial intelligence.
Continuous Monitoring
Continuous Monitoring is a cognitive app that allow monitoring metrics, predictand diagnose issues for your data platform in real-time.
