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#machine learning

…with Microsoft ML.NET – Part 1

Machine Learning 101: Part 1

The purpose of this series of articles is to provide a complete guide (from data to predictions) to machine learning, for .NET developers in a .NET ecosystem, and that is possible now using Microsoft ML.NET and Jupyter Notebooks. Even more, you don’t have to be a data scientist to do machine learning.

The fifth form of matter

Introducing software fuzzing – part of AI and ML in DevOps

Justin Reock, Chief Architect for OpenLogic at Perforce Software, describes what is software fuzzing and why it is needed. Justin is the author on a chapter about fuzzing in a new book from Perforce Software: “Accelerating Software Quality: Machine Learning & Artificial Intelligence in the Age of DevOps”.

ML isn't just for Python

Top 5 JavaScript Machine Learning Libraries

As technology advances with the time passing by and so do we – a variety of machine learning frameworks came into limelight such as JavaScript. This article goes over five of the best machine learning libraries for JavaScript and why JS succeeds in the field of ML.

No coding skills necessary

How to Build a Chatbot – All You Need to Know

Michael Larsen, Head of Customer Success & Academy at BotXO.ai, takes us through the essential steps of building a chatbot. A chatbot project should be easy to carry out, easy to maintain and edit, and bring results pretty quickly. It should meet the needs of the business and potential problems to solve, proper flow and content, and integrations.

Most clicked news

Top 10 Java stories of May: TIOBE Index, Spring Boot 2.3, Java 16 plans & more

Every month, we take a look back at our top ten most clicked topics. Last month was packed full of exciting news such as more info on Java 16 with its upcoming migration to Git and GitHub. Other top news include interviews on the programming language Julia, the visualization platform Grafana and the Node alternative Deno. In May, we also learned how to analyze big data using Java and saw C pass Java in the monthly TIOBE Index.

Interview with Jens Dahl Møllerhøj

Nordic language BERT models: “Languages with fewer speakers are underrepresented on the internet”

BERT models in Danish, Swedish and Norwegian have been released by the Danish company BotXO. We spoke to Jens Dahl Møllerhøj, Lead Data Scientist at BotXO, to find out more. See how these open source models differ from Google’s multilanguage BERT model, what can make creating NLP models for Nordic languages difficult, and where these models can be used.

Flatten the curve with AI

Could AI solve the COVID-19 crisis?

Artificial intelligence could help us fight the coronavirus crisis. AI can, for example, already identify pneumonia on a CT scan in seconds with a high degree of accuracy. See what other things it can do to help flatten the curve.

Interview with the creators of Julia

“Julia is comparable to Python for simple machine learning tasks and better for complex ones”

The initial release of the Julia programming language was eight years ago, in 2012. We spoke to the four creators of the language, Dr. Viral B. Shah, Dr. Jeff Bezanson, Stefan Karpinski and Prof. Alan Edelman, to find out whether Julia has been able to live up to their high expectations. They also went into detail about the various use cases Julia is applied to today, how the language compares to Python, and where it is headed in the future.