DareData Blog
Perspectives from the DareData team on AI systems, enterprise transformation, and the engineering behind real-world deployments.
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2025: Product, Consulting, and Production
This was the year where strategy met customers, production systems and enterprise constraints. We didn’t iterate in isolation, but we...
PyTorch Introduction — Enter NonLinear Functions
Continuing the Pytorch series, in this post we’ll learn about how non-linearities help solve complex problems in the context of neural networks
8 min
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PyTorch Introduction — Building your First Linear Model
Learn how to build your first PyTorch model, by using the “magical” Linear layer
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PyTorch Introduction - The Tensor Object
Learn about Tensors and how to use them in one of the most famous machine learning libraries, PyTorch
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Why teach MLOps to your Data Science Teams?
For these reasons, this blog is intended to be an educational introduction to the main ideas behind MLOps, while providing examples of...
12 min
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Tips to Build a Robust Data Lake Infrastructure
Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals.
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Why this time it may be different - Digesting Large Language Models and their implications for Society
Irrespective of your stance regarding the speed of technological evolution, one thing is certain: with the latest advances in artificial intelligence and the creation of groundbreaking technologies like GPT-4, there will be profound implications for all of us.
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The Lean Structure Startup
DareData was founded in 2019 by Sam and Nuno with the mission of building a network of exceptional professionals in the fields of Data...
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2023, prepare to take-off
However, the cash pressure due to good growth is definitely a challenge. We have been thinking about external investment but we are trying...
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Most important Data Engineering Concepts and Tools for Data Scientists
Learn the most important data engineering concepts that data scientists should be aware of - such as data orchestrators, ingestion or infrastructure-as-code
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DS Building Blocks - Regression vs. Classification
Understand the difference between regression and classification problems
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Good data teams / Bad data teams
Understand the main characteristics that set good and bad teams apart.
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