Neural Designer (@NeuralDesigner) header
Neural Designer (@NeuralDesigner) profile picture

#NeuralDesigner is a #MachineLearning platform that helps you discover relationships, recognize patterns, predict trends and find associations from your #data.

Spain (Europe)
Joined August 2019
Photo by Neural Designer (@NeuralDesigner)Photo by Neural Designer (@NeuralDesigner)Photo by Neural Designer (@NeuralDesigner)Photo by Neural Designer (@NeuralDesigner)Photo by Neural Designer (@NeuralDesigner)Photo by Neural Designer (@NeuralDesigner)Photo by Neural Designer (@NeuralDesigner)Photo by Neural Designer (@NeuralDesigner)Photo by Neural Designer (@NeuralDesigner)Photo by Neural Designer (@NeuralDesigner)
Learn how to build a #MachineLearning model to predict CO2 emissions from cars based on various car engine characteristics. #AI #NeuralNetworks neuraldesigner.com/learning/…
1
55
Learn what advanced analytics is and how you can apply descriptive, diagnostic, predictive and prescriptive analytics in your business. #Machinelearning #AI #NeuralNetworks neuraldesigner.com/blog/what…
1
52
Use #MachineLearning to build a digital twin of an electric motor to ensure electric engines are the best in the market. #AI #NeuralNetworks neuraldesigner.com/learning/…
60
Learn how to build a #MachineLearning model that predicts the biodegradability of molecules by analyzing their chemical structures and properties. #AI #NeuralNetworks neuraldesigner.com/learning/…
43
Many typical #MachineLearning applications arise from complex relationships between #features. Learn about feature selection techniques to help you identify those variables. #AI #NeuralNetworks neuraldesigner.com/blog/gene…
37
Learn to create a cost-effective #MachineLearning model for aquatic toxicity assessment using real water data. #AI #NeuralNetworks neuraldesigner.com/learning/…
34
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 neuraldesigner.com/blog/prin…
39
Learn how to build a #MachineLearning model to design concrete mixtures with specified properties and reduced costs. #AI #NeuralNetworks neuraldesigner.com/learning/…
39
Build a #MachineLearning model to develop a classification method to detect gamma rays while it discriminate the background. #AI #NeuralNetworks neuraldesigner.com/learning/…
65
Explore Auto-Associative Neural Networks (AANNs) for predictive maintenance and learn about architecture, training and deployment. #MachineLearning #AI #NeuralNetworks neuraldesigner.com/blog/aann…
24
Explore various training algorithms for #NeuralNetworks, from gradient descent to the Levenberg-Marquardt algorithm. #AI #MachineLearning neuraldesigner.com/blog/5_al…
1
40
Learn how to build a #MachineLearning model to classify asteroid orbits type, specifically AMO, APO, and ATE. #AI #NeuralNetworks neuraldesigner.com/learning/…
36
Use #MachineLearning to build a predictive maintenance model for identifying faulty parts in an air compressor system. # AI #NeuralNetworks neuraldesigner.com/blog/air-…
17
Understand the mathematics of #ArtificialIntelligence from the perspective of functional analysis and variational calculus. #MachineLearning #NeuralNetworks neuraldesigner.com/blog/lear…
43
Build a #MachineLearning model to use as predictive maintenance to detect faults in an ultrasonic flow meter. #AI #NeuralNetworks neuraldesigner.com/learning/…
39
Build a #MachineLearning model to predict the hydrodynamics performance of sailing yachts from dimensions and velocity. #AI #NeuralNetworks neuraldesigner.com/learning/…
29
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 neuraldesigner.com/learning/…
35
Learn the mathematics of the perceptron neuron model (aka dense or fully connected), the most widely used neuron model in #MachineLearning. #AI #NeuralNetworks neuraldesigner.com/blog/perc…
22