Machine learning

streamlit app for eda and interactive prediction

Deploy a custom Docker image for Data Science project – Streamlit app for EDA and interactive prediction (Part 2)

A guide to deploy a custom Docker image for a Streamlit app with AI Deploy. Welcome to the second article concerning custom Docker image deployment. If you haven’t read the previous one, you can read it on the following link. It was about Gradio and sketch recognition. When creating code for a Data Science project, […]

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Deploy a custom Docker image for Data Science project – Gradio sketch recognition app (Part 1)

A guide to deploy a custom Docker image for a Gradio app with AI Deploy. When creating code for a Data Science project, you probably want it to be as portable as possible. In other words, it can be run as many times as you like, even on different machines. Unfortunately, it is often the

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A journey into the wondrous land of Machine Learning, or “Cleaning data is funnier than cleaning my flat!” (Part 3)

A journey into the wondrous land of Machine Learning, or “Cleaning data is funnier than cleaning my flat!” (Part 3)

What am I doing here? The story so far… As you might know if you have read our blog for more than a year, a few years ago, I bought a flat in Paris. If you don’t know, the real estate market in Paris is expensive but despite that, it is so tight that a

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AI Notebooks: analyze and classify sounds with AI

AI Notebooks: analyze and classify sounds with AI

A guide to analyze and classify marine mammal sounds. Since you’re reading a blog post from a technology company, I bet you’ve heard about AI, Machine and Deep Learning many times before. Audio or sound classification is a technique with multiple applications in the field of AI and data science. Use cases Acoustic data classification:

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Network devices overheat monitoring

Network devices overheat monitoring

Network devices overheat monitoring Problem to solve Monitoring our network devices is important to ensure a good quality of service for our customers. In particular, avoiding any overheat safety shutdowns is critical, even if we ensure failure resilience in our infrastructure with device redundancy. In the best scenario, if a device falls, its twin is

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2021: major technological advances to accelerate, democratize and certify AI uses

2021: major technological advances to accelerate, democratize and certify AI uses

In 2020, OVHcloud launched a portfolio of PaaS solutions dedicated to Data and AI. As an innovative cloud player for the past 20 years, our up-to-date technology coupled with our close collaboration with data science communities as well as the most cutting-edge players in the sector has enabled us to identify 10 strong AI trends

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A journey through the wondrous land of Machine Learning or "Can I really buy a palace in Paris for 100,000€?" (Part 2)

A journey through the wondrous land of Machine Learning or “Can I really buy a palace in Paris for 100,000€?” (Part 2)

Spoiler alert, no you can’t. A few months ago, I explained how to use Dataiku – a well-known interactive AI studio – and how to use data, made available by the French government, to build a Machine Learning model predicting the market value of real estate. Sadly, it failed miserably: when I tried it on

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How PCI-Express works and why you should care? #GPU

How PCI-Express works and why you should care? #GPU

What is PCI-Express ? Everyone, and I mean everyone, should pay attention when they do intensive Machine Learning / Deep Learning Training. As I explained in a previous blog post, GPUs have accelerated Artificial Intelligence evolution massively. However, building a GPUs server is not that easy. And failing to create an appropriate infrastructure can have

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Interpretability Engine: An open-source tool to interpret your models in ML Serving

Context Artificial Intelligence is now a part of our daily life and the services it provides continue to flourish in multiple industries. At OVHCloud, we have recently launched ML Serving; a service to deploy Machine Learning models, ready to use in production. Its likely you’ve read some articles relating to Machine Learning (ML) techniques or

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Distributed Learning in a Deep Learning context

Distributed Training in a Deep Learning Context

Previously on OVHcloud Blog … In previous blog posts we have discussed a high level approach to deep learning as well as what is meant by ‘training’ in relation to Deep Learning. Following the article, I had lots of questions entering my twitter inbox, especially regarding how GPUs actually works. I decided, therefore, to write

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