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Data News — Week 23.35

Christophe Blefari

I spent a few hours working on the fancy data stack project and articles are in the works, but it was idealistic to produce quality code and content while enjoying the summer. On September 1, I'm still getting used to the school rhythm. There are unit, integration, functional and end-to-end tests. I just create content.

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Top Software Deployment Strategies in 2024

Knowledge Hut

Companies are using deployment models for continuous integration and continuous delivery (CI/CD pipelines) to automate the deployment process. Software deployment is the act of remotely installing software from a central place on one or more machines inside a network at the same time. What is a Software Deployment Strategy?

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Going from Developer to CEO: Chronosphere

The Pragmatic Engineer

Martin Mao travelled this path: starting his first developer job at a local startup in Australia, then making the move to the US – first being at Microsoft in Seattle, then at Amazon, and then at Uber, in Silicon Valley. From learning to code in Australia, to working in Silicon Valley How did I learn to code?

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Naive Bayes in Machine Learning [Examples, Models, Types]

Knowledge Hut

In this article, I'll walk you through the fundamentals of Naive Bayes, a robust machine learning algorithm. Join me as we navigate the key aspects of Naive Bayes in the professional field of machine learning. However, it's essential to acknowledge limitations tied to the assumption of feature independence.

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What is LDA: Linear Discriminant Analysis for Machine Learning

Knowledge Hut

It is used as a pre-processing step in Machine Learning and applications of pattern classification. The goal of LDA is to project the features in higher dimensional space onto a lower-dimensional space in order to avoid the curse of dimensionality and also reduce resources and dimensional costs.

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Announcing halide-haskell - a Haskell interface for the Halide image and array processing language

Tweag

The availability of deep learning frameworks like PyTorch or JAX has revolutionized array processing, regardless of whether one is working on machine learning tasks or other numerical algorithms. The Haskell library ecosystem has been catching up as well, and there are now multiple good array libraries. min 255.0 ). factor * ).

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Artificial Intelligence Engineer Job Description to Ace in 2024

Knowledge Hut

To give you a brief idea, AI engineers design, create, and implement complex algorithms to make machines act and work like humans. Example 1 X [company's name] seeks a proficient AI engineer who understands deep learning, neuro-linguistic programming, computer vision, and other AI technologies. Now, that's just a rough overview.