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Building an an Early Stage Startup: Lessons from Akita Software

The Pragmatic Engineer

In this issue, we cover: How Akita was founded On cofounders Raising funding Pivoting and growing the company On hiring The tech stack The biggest challenges of building a startup For this article, I interviewed Jean directly. So we started to build API specs on top of our API security product. We pivoted to API observability in 2020.

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Bring Your Own Algorithm to Anomaly Detection

Pinterest Engineering

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. They found the existing selection of anomaly detection algorithms in EGADs to be limiting. We have also thought of building a RESTful API endpoint in Python.

Algorithm 110
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Building Holiday Finds: How Pinterest Engineers Reimagined Gift Discovery

Pinterest Engineering

Personalization Stack Building a Gift-Optimized Recommendation System The success of Holiday Finds hinges on our ability to surface the right gift ideas at the right time. Unified Logging System: We implemented comprehensive engagement tracking that helps us understand how users interact with gift content differently from standardPins.

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Decision Tree Algorithm in Machine Learning: Types, Examples

Knowledge Hut

Unsupervised Learning: If the available dataset has predefined features but lacks labels, then the Machine Learning algorithms perform operations on this data to assign labels to it or to reduce the dimensionality of the data. Hence, we start building the concepts slowly with some basic theory. What is a Decision Tree?

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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. As a software developer, I have been building applications and I know how important it becomes for us to deliver solutions that are fast and efficient. Let's first understand what an algorithm is.

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From Theory to Practice: Building a k-Nearest Neighbors Classifier

KDnuggets

The k-Nearest Neighbors Classifier is a machine learning algorithm that assigns a new data point to the most common class among its k closest neighbors. In this tutorial, you will learn the basic steps of building and applying this classifier in Python.

Building 147