Dmytro Fishman

machine learning science deep learning bioinformatics artificial intelligence artificial neuron backpropagation neural networks overfitting decision trees biology nature recommendations data analysis antibody protein immunology soft skills presentations mapping localization slam autonomous vehicles self-driving pooling activation function linear regression regression statistics data mining gaussian processes information technology research computer vision computational biology microscopy cancer medicine healthcare recurrent neural network convolutional neural network artificial neural networks t-sne pca principal component analysis dimensionality reduction hierarchical clustering k-means clustering unsupervised learning model performance receiver operating characteristic roc lecture course cross-validation curse of dimensionality random forest knn classifiers supervised learning education