5
personnes maximum
3j
duration
French
language
Goals
Images are a source of multiple information and can be used to respond to numerous business issues.
This Python Artificial Intelligence course will allow you to carry out machine learning data analyses. You will learn how to transform an image and extract information from it.
At the end of the training, you will know:
- What are the key steps in creating a Computer Vision model
- How to apply each step
- Generate training data avoiding bias
Prerequisites and target audience
Prerequisites:
Pratique du langage Python
Targeted audience :
Développeurs Python désirant s’approprier les principaux dispositifs d’apprentissage automatisé et de traitement d’image.
Educational means
The training alternates between theoretical and practical contributions. In order to bring out as many questions as possible, the final practical application includes simplified development sessions, supervised by a data scientist who is an expert on the subject.
Training profiles
- Data Scientist
Rate
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Training program
- Introduction to Data Science and Machine Learning
- Reminder: Python, the fundamentals
- Discovery of labeled image libraries
- Labeled image libraries
- Biases to avoid
- Generating training data
- The main steps in creating a Computer Vision model
- Discovery of some Python image processing libraries
- Presentation of different computer vision libraries and technologies
- Training a Computer Vision algorithm
- Performance evaluation of a Computer Vision algorithm
- Feature engineering: pre-processing and data augmentation
