Machine learning

Dive into real-world applications of machine learning, from natural language processing to predictive analytics in various fields.

5 Use Cases of Semantic Analysis in Natural Language Processing
Machine learning

5 Use Cases of Semantic Analysis in Natural Language Processing

Using semantic analysis in natural language processing (NLP) offers many benefits. Read how we use these technologies in our products.

Image processing applications in data science – practical know-how
Machine learning

Image processing applications in data science – practical know-how

Image processing means converting an image to a digital form that can be processed by computers. Read what industries can use this solution.

Predictive Analytics – what is it and how to use it in your business?
Machine learning

Predictive Analytics – what is it and how to use it in your business?

Predictive analytics is a method to predict future market trends to make better, data-driven decisions. Read how your business can benefit from it.

Data science vs machine learning – what is the difference?
Machine learning

Data science vs machine learning – what is the difference?

Data science and machine learning are commonly used terms, but do you know the difference? What ML engineer and data scientist do? Read in this article.

The fight against Internet hate speech – technical context of CMP system
Machine learning

The fight against Internet hate speech – technical context of CMP system

Content Moderation Platform is our system for detecting hate speech on the Internet. In this article, we present the technological context of this project.

Natural language processing – our means of work at WEBSENSA
Machine learning

Natural language processing – our means of work at WEBSENSA

Natural language processing develops rapidly and more entrepreneurs introduce it to their companies. Read how your business can benefit from NLP!

Go vs. Python – which one is better for machine learning?
Machine learning

Go vs. Python – which one is better for machine learning?

Python is the most popular machine learning language, but the less popular, like Go, also have supporters. Read our comparison of Python and Go in ML.

Semantic engines – the application in banks and financial institutions
Machine learning

Semantic engines – the application in banks and financial institutions

Semantic search engines find high-quality informations in big data sets. Thats's why they can be so useful in financial institutions.

Other topics

Generative AI

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Explore the dynamically changing world of Generative AI and its growing impact across different sectors.

Generative AI
Artificial intelligence

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Read about the impact, ethics, and innovative applications of artificial intelligence in various sectors.

Artificial intelligence