#NeuralDesigner is a #MachineLearning platform that helps you discover relationships, recognize patterns, predict trends and find associations from your #data.
Learn how to build a #MachineLearning model to predict CO2 emissions from cars based on various car engine characteristics. #AI#NeuralNetworks
https://t.co/MJ1CX7IdZ8
Learn what advanced analytics is and how you can apply descriptive, diagnostic, predictive and prescriptive analytics in your business. #Machinelearning#AI#NeuralNetworks
https://t.co/WdzxIEvJbd
Use #MachineLearning to build a digital twin of an electric motor to ensure electric engines are the best in the market. #AI#NeuralNetworks
https://t.co/NR5c4vQFvY
Learn how to build a #MachineLearning model that predicts the biodegradability of molecules by analyzing their chemical structures and properties. #AI#NeuralNetworks
https://t.co/y2w3SUNsh5
Many typical #MachineLearning applications arise from complex relationships between #features. Learn about feature selection techniques to help you identify those variables. #AI#NeuralNetworks
https://t.co/EZq9DJ5QrZ
Learn to create a cost-effective #MachineLearning model for aquatic toxicity assessment using real water data. #AI#NeuralNetworks
https://t.co/Gh8jT2Eczm
Learn about Principal Components Analysis (PCA). This unsupervised #machinelearning algorithms technique allows us to identify the underlying dependencies of a #dataset and to reduce its dimensionality significantly by attending to them. #AI
https://t.co/UMCJ5YKjFF
Learn how to build a #MachineLearning model to design concrete mixtures with specified properties and reduced costs. #AI#NeuralNetworks
https://t.co/upsQ75LXhN
Build a #MachineLearning model to develop a classification method to detect gamma rays while it discriminate the background. #AI#NeuralNetworks
https://t.co/T161OhQfvy
Explore Auto-Associative Neural Networks (AANNs) for predictive maintenance and learn about architecture, training and deployment. #MachineLearning#AI#NeuralNetworks
https://t.co/vJ695CgE1B
Explore various training algorithms for #NeuralNetworks, from gradient descent to the Levenberg-Marquardt algorithm. #AI#MachineLearning
https://t.co/psGzWTl3Z1
Learn how to build a #MachineLearning model to classify asteroid orbits type, specifically AMO, APO, and ATE. #AI#NeuralNetworks
https://t.co/vdPHo46mj6
Use #MachineLearning to build a predictive maintenance model for identifying faulty parts in an air compressor system. # AI #NeuralNetworks
https://t.co/HOQTHZQseN
Build a #MachineLearning model to use as predictive maintenance to detect faults in an ultrasonic flow meter. #AI#NeuralNetworks
https://t.co/gQjm376KTS
Build a #MachineLearning model to predict the hydrodynamics performance of sailing yachts from dimensions and velocity. #AI#NeuralNetworks
https://t.co/pHmGtpF1gg
Learn how to build a #MachineLearning model that can modelate the theoretical power curve of a wind turbine based on the wind speed.. #AI#NeuralNetworks#Energy
https://t.co/nExSFkzvrC
Learn the mathematics of the perceptron neuron model (aka dense or fully connected), the most widely used neuron model in #MachineLearning. #AI#NeuralNetworks
https://t.co/6Ejtrh0S6T