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Machine learning

Machine learning is used in many applications, from speech recognition to autonomous driving, machine translation and product recommendation.

The different types of machine learning

There are three main types of machine learning: supervised learning, unsupervised learning and reinforcement learning.

Supervised learning is the most classic type. This is an algorithm that is trained on labeled data, that is, with example data accompanied by their expected results. The algorithm uses these examples to learn how to predict results for new data. For example, detecting an object in an image.

Unsupervised learning, on the other hand, tries to extract information from raw data without knowing its label. An example of this type of learning is a recommendation system.

Finally we have reinforcement learning which is a type of machine learning in which the algorithm is trained from unlabeled data, but which receives rewards or penalties based on their actions. The algorithm uses these rewards and penalties to learn how to make the most effective decisions to achieve a given goal. An example would be training a robot.
Machine Learning

Examples of concrete application

Engineers at Exponent have already worked on numerous artificial intelligence projects. They are used to working with standard libraries like TensorFlow, Keras or PyTorch. Among the projects carried out by the team, we can notably cite the creation of a search tool for the internal documents of a company, the processing of medical images such as MRI or OCTA, the detection of feelings, the processing audio signals or the automatic extraction of information present in a form.

Our team of experts is passionate about AI and has already proven its expertise in this area. We look forward to putting our expertise to work for your business to help you achieve your goals using AI. Do not hesitate to come see us at our offices at Geneva to explain your project or ideas to us at any time.

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