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- 01.04.2025 Intro to QML, pt. 4
- 01.04.2025 Intro to QML, pt. 3
- 01.04.2025 Intro to QML, pt. 2
- 01.04.2025 Intro to QML, pt. 1
- 01.04.2025 Quantum algorithms
- 01.04.2025 Intro to quantum computing
- 01.04.2025 Swarm intelligence
- 01.04.2025 Spiking neural network
- 01.04.2025 Everybody needs a dashboard
- 01.04.2025 Basics of BI
- 01.04.2025 Introduction to data analytics
- 01.04.2025 Experimental design
- 01.04.2025 Data visualization
- 26.03.2025 Approximate inference
- 21.03.2025 Basics of prompting
- 18.03.2025 MoE architecture
- 13.03.2025 Deploying LLMs
- 06.03.2025 LLM inference optimization
- 25.02.2025 Advanced RAG
- 20.02.2025 RAG for LLMs
- 19.02.2025 LLM engineering
- 14.02.2025 Intro to AI engineering
- 10.02.2025 Vector databases & ANN
- 04.02.2025 Causal representation learning
- 25.01.2025 Graphical models
- 16.01.2025 Bayesian networks
- 12.01.2025 Partition function (a closer look)
- 16.12.2024 Monte Carlo methods
- 16.12.2024 Sampling, in-depth
- 13.12.2024 Neural ODEs
- 03.12.2024 Deep probabilistic models
- 20.11.2024 Information theory for ML
- 13.11.2024 Group theory for ML, pt. 2
- 11.11.2024 Group theory for ML, pt. 1
- 06.11.2024 Contrastive learning & SimCLR
- 01.11.2024 Normalizing flows
- 28.10.2024 Adversarial ML
- 17.10.2024 Training models at scale, pt. 2
- 14.10.2024 Training models at scale, pt. 1
- 10.10.2024 AI reasoning & uncertainty, pt. 2
- 10.10.2024 AI reasoning & uncertainty, pt. 1
- 09.10.2024 AI planning
- 03.10.2024 Knowledge representation
- 19.09.2024 AI logic
- 19.09.2024 AI search
- 18.09.2024 Synthetic data
- 06.09.2024 Semi-supervised learning
- 22.08.2024 Self-supervised learning
- 15.08.2024 Retrieval-augmented generation
- 09.08.2024 Geometry estimation, pt. 2
- 07.08.2024 Geometry estimation, pt. 1
- 02.08.2024 AI web agents
- 28.07.2024 Intelligent agents
- 20.07.2024 Federated learning
- 17.07.2024 Econometrics for DS
- 11.07.2024 Contrastive language-image pretraining
- 06.07.2024 Advanced AB-tesing
- 30.06.2024 Multimodal models
- 20.06.2024 Intro to AI theory, pt. 2
- 20.06.2024 Intro to AI theory, pt. 1
- 05.06.2024 Cloud analytics
- 01.06.2024 AI-driven navigation
- 20.05.2024 Multithreading in ML
- 12.05.2024 Automated ML, pt. 2
- 12.05.2024 Automated ML, pt. 1
- 09.05.2024 DBN architecture
- 28.04.2024 RvNN architecture
- 27.04.2024 Kernel (in-depth look)
- 22.04.2024 Siamese neural network
- 13.04.2024 Social networks analysis
- 10.04.2024 Active learning
- 26.03.2024 Graph neural networks
- 14.03.2024 Learning to rank
- 04.03.2024 Data engineering zone
- 29.02.2024 Online machine learning
- 14.02.2024 Pose estimation
- 09.02.2024 Music generation
- 03.02.2024 Speech synthesis
- 03.02.2024 Speech recognition
- 21.01.2024 Topic modeling
- 17.01.2024 Depth map
- 15.01.2024 Data collection techniques
- 20.12.2023 PixelRNN & PixelCNN
- 12.12.2023 Inpainting
- 06.12.2023 Image blending
- 24.11.2023 Batch-normalization
- 22.11.2023 Dialogue systems
- 18.11.2023 Optical character recognition
- 07.11.2023 Playing with PySpark
- 02.11.2023 Intro to RL
- 19.10.2023 Image object segmentation
- 16.10.2023 Image object detection
- 13.10.2023 Vision transformers
- 04.10.2023 Tuning LLMs
- 03.10.2023 Intro to LLMs, pt. 2
- 01.10.2023 Intro to LLMs, pt. 1
- 25.09.2023 Sentence transformer
- 23.09.2023 BERT model
- 12.09.2023 Transformer architecture, pt. 2
- 11.09.2023 Transformer architecture, pt. 1
- 10.09.2023 Attention mechanism
- 05.09.2023 Diffusion models
- 28.08.2023 SQL and databases for DS
- 14.08.2023 Word embeddings
- 11.08.2023 Intro to NLP
- 04.08.2023 NST algorithm
- 03.08.2023 Img-to-img translation
- 27.07.2023 Recommender systems
- 17.07.2023 Intro to Computer Vision
- 06.07.2023 Hierarchical clustering
- 01.07.2023 Bayesian models
- 22.06.2023 GAN architecture
- 23.06.2023 Energy-based models
- 20.06.2023 Generative models
- 17.06.2023 Autoencoder architecture
- 12.06.2023 RNN architecture
- 08.06.2023 Inception and DenseNet
- 07.06.2023 ResNet architecture
- 25.05.2023 CNN architecture, pt. 2
- 24.05.2023 CNN architecture, pt. 1
- 15.05.2023 Neural network concepts, pt. 3
- 15.05.2023 Neural network concepts, pt. 2
- 15.05.2023 Neural network concepts, pt. 1
- 09.05.2023 Markov models
- 08.05.2023 Sequential models
- 05.05.2023 Improving ML models
- 25.04.2023 t-SNE
- 21.04.2023 Dimensionality reduction & PCA
- 15.04.2023 Intro to PyTorch
- 01.04.2023 Classification metrics
- 01.04.2023 Clustering metrics
- 26.03.2023 Mean shift
- 22.03.2023 Gaussian mixture models
- 10.03.2023 Gaussian processes
- 04.03.2023 Anomaly detection
- 27.02.2023 Time series
- 19.02.2023 Ensemble methods
- 13.02.2023 Intro to TensorFlow & Keras
- 05.02.2023 Advanced optimizers
- 02.02.2023 Gradient optimization
- 20.01.2023 DBSCAN & OPTICS
- 09.01.2023 Intro to MLOps
- 25.12.2022 Video processing
- 23.12.2022 Image processing
- 14.12.2022 K-nearest neighbors
- 09.12.2022 Intro to Big Data
- 24.11.2022 Association rule learning
- 15.11.2022 Support vector machines
- 08.11.2022 Decision trees
- 02.11.2022 Clustering & K-means
- 27.10.2022 Logistic regression
- 23.10.2022 Regression analysis
- 11.10.2022 Regularization
- 05.10.2022 Linear regression
- 28.09.2022 Exploratory data analysis
- 20.09.2022 ML isn't for kids
- 12.09.2022 Algorithms and data structures
- 07.09.2022 Calculus for ML/DS
- 05.09.2022 Hypothesis testing, pt. 2
- 05.09.2022 Hypothesis testing
- 24.08.2022 Statistical distributions
- 23.08.2022 A non-boring intro to statistics, pt. 2
- 18.08.2022 A non-boring intro to statistics
- 22.07.2022 Web tools for DS
- 21.07.2022 Linux essentials for DS/ML
- 20.07.2022 CS essentials for DS/ML
- 02.06.2022 Linear algebra for ML
- 29.05.2022 Venturing forth!
- 29.05.2022 On research
- 29.05.2022 Lifelong pilgrimage
Mathematics 7Diary 3Novosibirsk 2DevOps 2Operating systems 2Virtualization 2Version control 2Git 2Tools 2Workflows 2Data pipelines 2Reflections 2Russia 1Travelogue 1Programming 1Misc 1Software engineering 1Testing 1Computer architecture 1Computer networks 1Cryptography 1Tensors 1Linear equations 1Linear maps 1Vector spaces 1Vectors 1Matrices 1Eigenvalues 1Linear transformations 1Linear projections 1Shell 1Scripting 1Bash 1Zsh 1Vim 1Neovim 1Automation 1SSH 1Cluster analysis 1Algorithms 1Machine learning 1Clustering 1Unsupervised learning 1Pattern recognition 1Image analysis 1Information retrieval 1Visual tracking 1MLOps 1Docker 1Cloud platforms 1AWS 1Containerization 1APIs 1Orchestration 1Logging 1CI/CD 1Flask 1Kubernetes 1REST 1Prompt engineering 1LLMs 1Context window 1Prompt tuning 1Prompt optimization 1Few-shot learning 1Zero-shot learning 1P-tuning 1Prefix tuning 1Adapter tuning 1
