cinevisionXL is very cinematic
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K-Nearest Neighbors Classification Using OpenCV
The OpenCV library comes with a module that implements the k-Nearest Neighbors algorithm for machine learning applications. In this tutorial, you are going to learn how to apply OpenCV’s k-Nearest Neighbors algorithm for the task of classifying handwritten digits. After completing this tutorial, you will know: Several of the most important characteristics of the k-Nearest …
Best of both worlds: Achieving scalability and quality in text clustering
Posted by Sara Ahmadian and Mehran Kazemi, Research Scientists, Google Research Clustering is a fundamental, ubiquitous problem in data mining and unsupervised machine learning, where the goal is to group together similar items. The standard forms of clustering are metric clustering and graph clustering. In metric clustering, a given metric space defines distances between data …
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Do we have enough GPUs to manifest AI’s potential?
The GPU shortage presents both challenge and opportunity as enterprises adapt and become more innovative, agile and responsive in the process.Read More
Best Fitting T-Shirts for Men (According to a Savile Row Tailor)
Bombarded by social media ads promising the “perfect” T-shirt whatever your shape, WIRED put these claims to the test with world-famous Savile Row tailors Gieves & Hawkes.
AnimateDiff is a true game-changer. We went from idea to promo video in less than two days!
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Streaming SQL in Data Mesh
Democratizing Stream Processing @ Netflix By Guil Pires, Mark Cho, Mingliang Liu, Sujay Jain Data powers much of what we do at Netflix. On the Data Platform team, we build the infrastructure used across the company to process data at scale. In our last blog post, we introduced “Data Mesh” — A Data Movement and Processing Platform. When a user …
Apache Kafka and Apache Flink: An open-source match made in heaven
In the age of constant digital transformation, organizations should strategize ways to increase their pace of business to keep up with — and ideally surpass — their competition. Customers are moving quickly, and it is becoming difficult to keep up with their dynamic demands. As a result, I see access to real-time data as a …
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Best of both worlds: Achieving scalability and quality in text clustering
Posted by Sara Ahmadian and Mehran Kazemi, Research Scientists, Google Research Clustering is a fundamental, ubiquitous problem in data mining and unsupervised machine learning, where the goal is to group together similar items. The standard forms of clustering are metric clustering and graph clustering. In metric clustering, a given metric space defines distances between data …
Read more “Best of both worlds: Achieving scalability and quality in text clustering”
Bundesliga Match Facts Shot Speed – Who fires the hardest shots in the Bundesliga?
There’s a kind of magic that surrounds a soccer shot so powerful, it leaves spectators, players, and even commentators in a momentary state of awe. Think back to a moment when the sheer force of a strike left an entire Bundesliga stadium buzzing with energy. What exactly captures our imagination with such intensity? While there …
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