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- 29.08.2025 We are here to explore
- 16.08.2025 My pillars of well-being
- 02.08.2025 Building AI agents
- 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