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Reduce embedded systems development time using ROS — Kapernikov

Reduce embedded systems development time using ROS — Kapernikov

Large systems nowadays are generally divided into many small components, “microservices”, that are easy to isolate, replace or integrate…
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Kapernikov
Best practices for model training and serving in machine learning — Part 2 — Kapernikov

Best practices for model training and serving in machine learning — Part 2 — Kapernikov

In our previous article, we discussed what are the parameters controlling the training process of machine learning algorithms. We…
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Kapernikov
Cloud independent solutions — Kapernikov

Cloud independent solutions — Kapernikov

At Kapernikov, we build robust, scalable and cost-efficient cloud-native data platforms and applications. When we start discussing…
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Kapernikov
Book review: what we learned from The Data-Centric Revolution — Kapernikov

Book review: what we learned from The Data-Centric Revolution — Kapernikov

Implementing enterprise software systems for utility or manufacturing companies can be a gargantuan task. The cost and effort of setting…
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Kapernikov
From experimentation to production: how MLOps helps to deliver high-quality machine learning…

From experimentation to production: how MLOps helps to deliver high-quality machine learning…

Deploying machine learning models into a production environment can be a long and winding road. A lot can go wrong between the…
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Kapernikov
Escape from the land of confusion: quality data for the energy market — Kapernikov

Escape from the land of confusion: quality data for the energy market — Kapernikov

Data science
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Kapernikov
Best practices for model training and serving in machine learning — Part 1 — Kapernikov

Best practices for model training and serving in machine learning — Part 1 — Kapernikov

Now that we have chosen the right algorithm for our machine learning problem, and we have collected and prepared a dataset, we can finally…
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Kapernikov
Scalable cloud architecture gears MYND up for the commercial market — Kapernikov

Scalable cloud architecture gears MYND up for the commercial market — Kapernikov

MYND is a topic modeling software, based on machine learning. It allows users to automatically analyze and cluster vast amounts of text…
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Kapernikov
Want to use AI on your problem, but struggling to get a good dataset? Part 2. — Kapernikov

Want to use AI on your problem, but struggling to get a good dataset? Part 2. — Kapernikov

Data is a key component of machine learning. Without a good dataset, it is impossible to build a good model, no matter how complex your…
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Kapernikov
Three reasons why you shouldn’t rush blindly into deep learning — Kapernikov

Three reasons why you shouldn’t rush blindly into deep learning — Kapernikov

Got a data-related problem? No worries, let deep learning sort it out. This may be a natural reaction, but it’s not always the best one…
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Kapernikov
A comparison of stream processing frameworks — Kapernikov

A comparison of stream processing frameworks — Kapernikov

Data streams are all around us, and companies need to process that data instantly, or as close to real time as possible. That’s where…
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Kapernikov
Want to use AI on your problem, but struggling to get a good dataset? Part 1. — Kapernikov

Want to use AI on your problem, but struggling to get a good dataset? Part 1. — Kapernikov

Data is a key component of AI, artificial intelligence and machine learning. Without a good dataset, it is impossible to build a good…
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Kapernikov
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