Flying Whales
Posts
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AutoML and Neural Architecture Search
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Evolutionary Algorithms in Machine Learning
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RL: Reinforcement Learning with Human Feedback
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RL: Proximal Policy Optimization (PPO)
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RL: Policy gradient
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RL: Deep Q-learning
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VQ-GAN
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Stable Diffusion
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News: Reconstruct mind videos from brain activity
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Sentiment Analysis
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Kernelized Support Vector Machine
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Interpretable AI: CAM
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Interpretable AI: SHAP
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Interpretable AI: LIME
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Feature Engineering
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Feature Selection
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Content-based Filtering
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Collaborative Filtering
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t-SNE
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Time series: ARIMA
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Stacking
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Boosting
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Restricted Boltzmann Machine
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Optimizers
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Duality
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Optimization
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Convexity
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Algebra
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Probability
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Deep Learning in Healthcare
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Object Detection: YOLO
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Clustering: DBSCAN
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Clustering: Flat and Hierarchical
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NLP: LSI and LDA
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An NLP Recipe
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The Ethics of AI
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Autoencoders in molecular simulations
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An Introduction on Natural Language Processing (NLP)
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K nearest neighbors
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A machine learning project recipe
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ProgressiveGAN and styleGAN
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CycleGAN and Star(Cycle)GAN
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Conditional GAN (cGAN and pix2pix)
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Generative Adversarial Network (GAN)
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Transformer
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Recurrent Neural Network (RNN)
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Reinforcement Learning: Q-learning and social cooperation
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Markov Decision Process (MDP)
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Application: MoveNet scoring your yoga poses
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UNET: Segmenting Nuclei
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Modern CNNs
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Convolutional Neural Network (CNN)
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Principal Component Analysis - PCA
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Fully Connected Neural Network (FCN/MLP)
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Random Forest
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Decision Tree
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Softmax Regression
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Naive Bayes
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Perceptron
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Logistic Regression
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Linear Support Vector Machine (SVM)
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K-means clustering
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Linear Regression
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