Posts
-
Collaborative Filtering
-
t-SNE
-
Time series: ARIMA
-
Stacking
-
Boosting
-
Restricted Boltzmann Machine
-
Optimizers
-
Duality
-
Optimization
-
Convexity
-
Algebra
-
Probability
-
Deep Learning in Healthcare
-
Object Detection: YOLO
-
Clustering: DBSCAN
-
Clustering: Flat and Hierarchical
-
NLP: LSI and LDA
-
An NLP Recipe
-
The Ethics of AI
-
Autoencoders in molecular simulations
-
An Introduction on Natural Language Processing (NLP)
-
K nearest neighbors
-
A machine learning project recipe
-
ProgressiveGAN and styleGAN
-
CycleGAN and Star(Cycle)GAN
-
Conditional GAN (cGAN and pix2pix)
-
Generative Adversarial Network (GAN)
-
Transformer
-
Recurrent Neural Network (RNN)
-
Reinforcement Learning: Q-learning and social cooperation
-
Markov Decision Process (MDP)
-
Application: MoveNet scoring your yoga poses
-
UNET: Segmenting Nuclei
-
Modern CNNs
-
Convolutional Neural Network (CNN)
-
Principal Component Analysis - PCA
-
Fully Connected Neural Network (FCN/MLP)
-
Random Forest
-
Decision Tree
-
Softmax Regression
-
Naive Bayes
-
Perceptron
-
Logistic Regression
-
Linear Support Vector Machine (SVM)
-
K-means clustering
-
Linear Regression
subscribe via RSS
Flying Whales