Intelligence Artificielle Inspirational talk on how AI and Machine Learning is shaping the future and how roles and our processes in design and development will be shaped by it. AI will help designers and developers create better experiences because AI is a creative partner, "your Augmented Intelligence.” Becoming familiar with AI will ignite new thinking, shift approaches, deliver new tools, processes, and concepts.
Intelligence Artificielle We will show you : How we created a machine learning model to recognize bird songs; How we exposed both the data preparation and predict steps as cloud based APIS; How we used Node-RED to combine the audio recognition with Watson Visual Recognition to build a combined audio / visual bird recognition application.
Intelligence Artificielle Object Detection has become very popular during the last few years. It may look complex from afar,How to train a model on my own dataset ? How do I label data? Which architecture should I choose ? What are the standard metrics to evaluate my model ? How to deploy my model ?
In this talk, we will go over a concrete example to present the typical journey to deploy an object detection application in python and answers those questions and many more.
Intelligence Artificielle Developing an AI product goes well beyond building an accurate machine learning model. In addition to the traditional product management components present in AI applications, data adds complexity to the system, from ingestion and validation to model deployment and UX. In this presentation you will learn about the lifecycle of data science projects, the challenges of building data products, and some lessons learned.
Intelligence Artificielle Today’s tech news is littered with buzzwords and acronyms like - ML, AI, big data, smart devices, even graph. What does 'graph' actually provide and mean for technology and business in the artificial intelligence or machine learning space? In this session, we will look at what advantages graph brings to existing tech for AI and why graphs can solve more complex problems with less developer pain and expertise.
Intelligence Artificielle Node-RED provides a browser-based flow editor that makes it easy to wire together apps using a wide range of nodes. In this session we show how to make use of the full capabilities of the Node-RED AI library to rapidly create real applications with little coding.
We will show you how to construct your own flows, re-use existing sample flows, find nodes and how to create and publish your own nodes.
Pour offrir une bonne expérience, l'utilisation de cookies est nécessaire. Certains sont essentiels au bon fonctionnement du site, tandis que d'autres nous aident à mieux répondre à vos intérêts.
