Dmytro Fishman

machine learning bioinformatics science deep learning artificial intelligence neural networks overfitting decision trees backpropagation artificial neuron artificial neural networks t-sne convolutional neural network 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 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