In our Haskell in Production series, we interview developers and technical leaders from companies that use Haskell for real-world tasks. We cover benefits, downsides, common pitfalls, and tips for building useful Haskell products. Today's guest is Marc Scholten, the Founder and CEO of digitally induced. In this interview, we discuss their product, textcontent.ai. It is a text-generating tool that helps marketers create a distinct style and tone of voice. Marc explained how it differs from..
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5d ago
Best Tech Conferences and Events 2024. Part 2 ..read more
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In our previous post, we covered the major tech conferences of the first half of 2024. In this post, we have put together the most interesting IT conferences and events happening from July to December this year. For your convenience, we have divided them into several sections, with events appearing in chronological order within each section.
Serokell Elixir Blog
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5d ago
Best Tech Conferences and Events 2024. Part 2 ..read more
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Modern cloud native computing heavily relies on the use of containers and the adoption of Kubernetes. Despite being a relatively new technology, it is deployed by many global enterprises to manage business-critical applications in their production environments. The popularity of Kubernetes is driven by a growing range of features, such as enhanced security, better management of microservices, improved observability, and more efficient scaling and resource use.
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2w ago
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In this post, we share insights from Serokell AI experts on their investigation into drug-disease interactions. Specifically, they explored whether a drug has a positive, negative, or neutral effect on the treatment of a particular disease. Serokell has collaborated with Neo7Bioscience, a molecular technology company, and Elsevier, an information and analytics firm that facilitates medical and biological research. With the data licensed from Elsevier, our specialists developed ML models that..
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2w ago
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No project can be a success without good management, and software projects are no different. Stats reveal that in the IT realm, only 39% of projects are successful. 43% are challenged, and 18% are failing. This is what happens when you start a project without proper planning and management strategies in place. Today, we are going to run you through what software development project management is, why it is so important, and what the process looks like from the inside.
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2w ago
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In earlier posts on our blog, we discussed various types of machine learning, including supervised and unsupervised learning. Today, we continue the series by exploring one of the most versatile and widely used machine learning techniques—hybrid, or semi-supervised learning. In this article, you will learn about how semi-supervised learning works, what its benefits are, and what algorithms to use.
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1M ago
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At Serokell, we have a dedicated team working on GHC. The primary goal is to help add dependent types to Haskell, as outlined in GHC proposal #378, Design for Dependent Types..
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1M ago
Serokell’s Work on GHC: Dependent Types, Part 3 ..read more
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Unsupervised learning is a type of machine learning that relies less on human guidance and intervention and more or analyzing raw data and extracting patterns from it. It’s thanks to unsupervised machine learning that today we have so many powerful ML applications such as generative AI systems, search engines, and recommendation systems. In this article, you will learn about how unsupervised learning works and what techniques you can use to build your own ML model.
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1M ago
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In machine learning, there are different approaches to building effective learning representations. One of them that appeared first and up to this day continues to be quite a popular way of teaching machines to learn and make predictions, is supervised learning. In this article, you will learn what supervised learning is, how supervised machine learning models are built and how they are used for real-life applications.
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2M ago
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In this piece, we focus on introducing types to lambda calculus. Typed lambda calculus extends the untyped lambda calculus by introducing a type system. It's important to note that, unlike untyped lambda calculus, there are multiple typed lambda calculi, each differentiated by the specific features of the type system used. The exact features of the type system can be chosen with considerable flexibility. In this article, we will explore some of the common choices.
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