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Enhancing Distributed System Load Shedding with TCP Congestion Control Algorithm

Zalando Engineering

We cannot process all requested communication as fast as possible. The business stakeholders have requested to ensure that we process the communication which supports critical business operations within the given service level objectives ( SLOs). We know if our system runs within its normal limits that we meet our SLOs.

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What are the Commonly Used Machine Learning Algorithms?

Knowledge Hut

There is no end to what can be achieved with the right ML algorithm. Machine Learning is comprised of different types of algorithms, each of which performs a unique task. U sers deploy these algorithms based on the problem statement and complexity of the problem they deal with.

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Time Complexity: Significance, Types, Algorithms

Knowledge Hut

” In this article, we are going to discuss time complexity of algorithms and how they are significant to us. Nobody would want to use a system which takes a lot of time to process large input size. The Time complexity of an algorithm is the actual time needed to execute the particular codes.

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Movie Recommendation System: Definition, Strategies, Usecase

Knowledge Hut

Not only could this recommendation system save time browsing through lists of movies, it can also give more personalized results so users don’t feel overwhelmed by too many options. What are Movie Recommendation Systems? Recommender systems have two main categories: content-based & collaborative filtering.

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Bring Your Own Algorithm to Anomaly Detection

Pinterest Engineering

The approach here could be generalized to integrate processing done in one language/paradigm into a platform in another language/paradigm. Warden started off as a Java Thrift service built around the EGADs open-source library, which contains Java implementations of various time-series anomaly detection algorithms. What’s the Problem?

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What is Machine Learning and Why It Matters: Everything You Need to Know

Knowledge Hut

It means a computer or a system designed with machine learning will identify, analyse and change accordingly and give the expected output when it comes across a new pattern of data, without any need of humans. Doesn’t this piece of information gives you a glimpse of the wondrous possibilities of machine learning and its potential uses?

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K-Nearest Neighbor (KNN) Algorithm for Machine Learning

Knowledge Hut

If you are thinking of a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classifications as well as regression problems, K-Nearest Neighbors (K-NN) is a perfect choice. K-Nearest Neighbors is one of the most basic supervised machine learning algorithms, yet very essential.