Cost-effective oil and gas software solutions engineered with advanced IoT, ML, and AI technologies, crafted by the team of industry-focused experts with cutting-edge innovations.| Oil & Gas Custom Software Development by Serokell
Looking for a reliable provider of natural language processing services?| NLP Service Provider | Serokell
With years of expertise in blockchain, Serokell develops advanced, scalable, and feature-rich decentralized applications (dApps) for different business domains.| dApp development services | Serokell
Expert SRE services by Serokell to accelerate your CI/CD implementation and enhance the reliability of your software system.| Site Reliability Engineering Services
As an expert blockchain software development company, we design new digital currencies, hot and cold wallets, and cryptocurrency platforms. If you are in need of efficient blockchain software consulting services, hire Serokell developers.| Blockchain Software Development Company | DLT & Blockchain App Development Se...
Big data architecture from an IT company with 8+ years of experience in cryptography and data protection. Serokell provides big data consulting services that include building customized and highly secure systems for data collection, storage, and analysis.| Big data consulting services | Serokell
Smart contract audits and blockchain security services from the leading blockchain developers.| Blockchain Security & Smart Contract Audits | Serokell
Full-cycle biotech software development services from IT experts at Serokell.| Biotech software development services | Serokell
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Naive Bayes classifiers are a set of classification algorithms for binary (two-class) and multiclass problem classification. Let’s find out where the Naive Bayes algorithm has proven to be effective in ML and where it hasn't.| Naive Bayes Algorithm in Machine Learning
What is the difference between Artificial Intelligence, and Machine Learning, and Deep Learning? Find out in Serokell's new blog post.| AI vs. ML vs. DL: What’s the Difference
Which are the trends in machine learning that will be relevant in 2023? Read our post to find out the answer.| Top Machine Learning Trends for 2023
Read this article and find out how deep learning can be applied to computer vision.| Deep Learning Applications for Computer Vision | Serokell
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Explainable AI (XAI) is a set of processes, methods, and tools that help us understand the logic of ML models when making forecasts and predictions. Learn more about it by reading our introductory article.| What Is Explainable AI and What Is It Used For?
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Self-supervised learning is one of the most popular approaches to ML today. SSL algorithms don’t require manual target labeling and can obtain all the information they need from the data. Find out more about how they work in our new post.| Is Self-Supervised Learning the Future of AI?
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Machine learning focuses on building ML models, while data science is the field that works on extracting meaning from data. Data analytics studies how to collect and process data and apply the discovered insights to deliver better service for the end user. Learn about the difference between these fields by reading our beginner-oriented ML article.| Data Science Vs Machine Learning: What’s the Difference?
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What is polynomial regression? When should you use it? In this article, we’ll give you all the answers.| Introduction to Polynomial Regression Analysis
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We’ve collected pros and cons of no-code applications to help you evaluate whether no-code apps are a good choice for you or you need to ask a qualified programmer’s assistance.| No-Code Applications for AI/ML
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This beginner guide will help you understand how convolution neural networks (CNNs) work and what they are useful for.| What Are Convolutional Neural Networks?