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Machine-learning toepassingen in voorspelling van betonsterkte combineert traditionele engineering met moderne data science, waardoor de manier waarop we de sterkte van beton voorspellen een nieuwe vorm krijgt. Dit boek richt zich op betonmengsels die zand, gefabriceerd zand (M-zand) en laterietgrond gebruiken als fijne toeslagstoffen en biedt een praktische gids voor machine-learningtechnieken zoals lineaire regressie, beslisbomen, Random Forest, steunvectorregressie en gradiëntversterking. Met duidelijke uitleg en een praktijkcase voorziet het de lezer van de kennis om datagestuurde benaderingen toe te passen in de bouw.