By the end of this training, you will be able to: - Map the main families of problems (classification, regression, NLP, vision, etc.). - Associate the right type of model or tool based on business needs and technical constraints. - Evaluate feasibility (available data, budget, required skills). - Compare and prioritize different AI solutions to maximize impact.
Lead Data Scientist
Lead Data Scientist and co-founder of Synaptiks.ai, Alexandre spans the entire ML pipeline from research to production. Backed by a Master's in Computer Science with a focus on Machine Learning, he translates cutting-edge discoveries into high-impact business use cases. Renowned for simplifying complex ideas, he has already coached finance and healthcare teams through hands-on, interactive AI programmes.
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