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Intro to QML, pt. 4
Intro to QML, pt. 4
I don't wanna study this further
Intro to QML, pt. 3
Intro to QML, pt. 3
Approaching AI takeover
Intro to QML, pt. 2
Intro to QML, pt. 2
Schrodinger's old shotgun
Intro to QML, pt. 1
Intro to QML, pt. 1
20 minute adventure
Quantum algorithms
Quantum algorithms
Think twice
Intro to quantum computing
Intro to quantum computing
Our possible future
Swarm intelligence
Swarm intelligence
Nature's algorithms, you know
Spiking neural network
Spiking neural network
As it should be
Everybody needs a dashboard
Everybody needs a dashboard
And they pay a lot
Basics of BI
Basics of BI
You have to talk with stupid people
Introduction to data analytics
Introduction to data analytics
How to start hating the word "insight"
Experimental design
Experimental design
This could save your life
Data visualization
Data visualization
Everything measurable can be a painting
Approximate inference
Approximate inference
Navigating complexity with clever shortcuts
Prompt engineering
Basics of prompting
Basics of prompting
Neural network training, now literally
MoE architecture
MoE architecture
Actually a very smart architecture
Deploying LLMs
Deploying LLMs
Building an army
LLM inference optimization
LLM inference optimization
Inference is expensive too
Advanced RAG
Advanced RAG
More frameworks, more applications
RAG for LLMs
RAG for LLMs
Tricky and effective
LLM engineering
LLM engineering
Vocabulary becomes infrastructure
Intro to AI engineering
Intro to AI engineering
Please be gentle
Vector databases & ANN
Vector databases & ANN
Here proximity is measured in dimensions
Causal representation learning
Causal representation learning
Causality steps in
Graphical models
Graphical models
This is just the beginning of the real ML
Bayesian networks
Bayesian networks
The true probabilistic inference as it is
Partition function (a closer look)
Partition function (a closer look)
Learn some important details
Monte Carlo methods
Monte Carlo methods
The casino math that solves real-world bets
Sampling, in-depth
Sampling, in-depth
It's like chess
Neural ODEs
Neural ODEs
Differential equations for psychopaths
Deep probabilistic models
Deep probabilistic models
Flirting with uncertainty
Information theory for ML
Information theory for ML
Old-school stuff
Group theory for ML, pt. 2
Group theory for ML, pt. 2
Some sort of mental BDSM
Group theory for ML, pt. 1
Group theory for ML, pt. 1
The department of brain fucking
Contrastive learning & SimCLR
Contrastive learning & SimCLR
Learning to see sameness in difference
Normalizing flows
Normalizing flows
Likelihood-based approach
Adversarial ML
Adversarial ML
Teaching models paranoia as a feature
Training models at scale, pt. 2
Training models at scale, pt. 2
Advanced cosmic-scale idiocy
Training models at scale, pt. 1
Training models at scale, pt. 1
Cosmic-scale idiocy
AI reasoning & uncertainty, pt. 2
AI reasoning & uncertainty, pt. 2
Reasoning in shades of probability
AI reasoning & uncertainty, pt. 1
AI reasoning & uncertainty, pt. 1
Theoretical foundations of thinking
AI planning
AI planning
First step for problem-solving agents
Knowledge representation
Knowledge representation
From chaos to ontology
AI logic
AI logic
Constructing agent statements
AI search
AI search
Problem-solving agents meet different environments
Synthetic data
Synthetic data
Statistically authentic garbage
Semi-supervised learning
Semi-supervised learning
There are two chairs...
Self-supervised learning
Self-supervised learning
No labels? No problem.
Retrieval-augmented generation
Retrieval-augmented generation
Built-in research department
Geometry estimation, pt. 2
Geometry estimation, pt. 2
Diagnosis is progressing
Geometry estimation, pt. 1
Geometry estimation, pt. 1
A promising area of research
AI web agents
AI web agents
Welcome to a new era of user experience
Intelligent agents
Intelligent agents
Generalizing AI
Federated learning
Federated learning
Democracy in ML lmao
Econometrics for DS
Econometrics for DS
"I work in cryptocurrency"
Contrastive language-image pretraining
Contrastive language-image pretraining
Bridging modalities by what they resist
Advanced AB-tesing
Advanced AB-tesing
Sophisticated experimentation
Multimodal models
Multimodal models
Attepmts to blend all of this
Intro to AI theory, pt. 2
Intro to AI theory, pt. 2
Advanced learning theory
Intro to AI theory, pt. 1
Intro to AI theory, pt. 1
Because we need it
Cloud analytics
Cloud analytics
The future, I guess
AI-driven navigation
AI-driven navigation
Navigating in real environments
Multithreading in ML
Multithreading in ML
Bullets will run out before legs do
Automated ML, pt. 2
Automated ML, pt. 2
Self-driving pipelines
Automated ML, pt. 1
Automated ML, pt. 1
Because I'm lazy
DBN architecture
DBN architecture
First believe, then compute
RvNN architecture
RvNN architecture
The curse of recursion
Kernel (in-depth look)
Kernel (in-depth look)
You'll need it
Siamese neural network
Siamese neural network
What the hell are you
Social networks analysis
Social networks analysis
This world is small
Active learning
Active learning
Curiosity-driven algorithms
Graph neural networks
Graph neural networks
Why not?
Learning to rank
Learning to rank
The relevance hierarchy
Data engineering zone
Data engineering zone
Plumber at your service
Online machine learning
Online machine learning
Fluid intelligence
Pose estimation
Pose estimation
You're just a skeleton
Music generation
Music generation
Poof, another creative profession gone
Speech synthesis
Speech synthesis
Learning to speak
Speech recognition
Speech recognition
Learning to hear
Topic modeling
Topic modeling
Listening to word crowds
Depth map
Depth map
Flat goes vertical
Data collection techniques
Data collection techniques
Sometimes it's more important than modelling
PixelRNN & PixelCNN
PixelRNN & PixelCNN
Generating images like a crossword puzzle
Inpainting
Inpainting
Use it the right way ( ͡° ͜ʖ ͡°)
Image blending
Image blending
Another cool application
Batch-normalization
Batch-normalization
Take care of your batches
Dialogue systems
Dialogue systems
"My guidelines won't let me talk about that"
Optical character recognition
Optical character recognition
Learning to read
Playing with PySpark
Playing with PySpark
A sophisticated way to procrastinate
Intro to RL
Intro to RL
Research papers and alcoholism
Image object segmentation
Image object segmentation
More cat pics, right
Image object detection
Image object detection
Learning to find cats
Vision transformers
Vision transformers
Reinventing sight again
Tuning LLMs
Tuning LLMs
Something from alchemy idk
Intro to LLMs, pt. 2
Intro to LLMs, pt. 2
Taming trillion-token beasts
Intro to LLMs, pt. 1
Intro to LLMs, pt. 1
And it's not just tweaking parameters
Sentence transformer
Sentence transformer
Read between tokens
BERT model
BERT model
Our first transformer
Transformer architecture, pt. 2
Transformer architecture, pt. 2
Advanced implementations
Transformer architecture, pt. 1
Transformer architecture, pt. 1
There's no God beyond this point
Attention mechanism
Attention mechanism
The moment of revolution
Diffusion models
Diffusion models
Harnessing entropy to create art
SQL and databases for DS
SQL and databases for DS
Everyone is brave at first
Word embeddings
Word embeddings
Meaning has direction and magnitude
Intro to NLP
Intro to NLP
Everything around is woven from words
NST algorithm
NST algorithm
Any style you wish
Img-to-img translation
Img-to-img translation
Be patient, I'm a CV engineer
Recommender systems
Recommender systems
Better way to sell useless shit
Intro to Computer Vision
Intro to Computer Vision
The mathematics of motion
Hierarchical clustering
Hierarchical clustering
The genealogy of clusters
Bayesian models
Bayesian models
One formula, dozens of new approaches
GAN architecture
GAN architecture
Artistry in rivalry
Energy-based models
Energy-based models
Huh?
Generative models
Generative models
Aggressively stealing artistic people's work
Autoencoder architecture
Autoencoder architecture
Learning to rebuild
RNN architecture
RNN architecture
Learning to remember
Inception and DenseNet
Inception and DenseNet
It evolves
ResNet architecture
ResNet architecture
Identity crisis
CNN architecture, pt. 2
CNN architecture, pt. 2
Learning to see, but slightly better
CNN architecture, pt. 1
CNN architecture, pt. 1
Learning to see
Neural network concepts, pt. 3
Neural network concepts, pt. 3
More advanced sorcery
Neural network concepts, pt. 2
Neural network concepts, pt. 2
Chaotic wizardry
Neural network concepts, pt. 1
Neural network concepts, pt. 1
Braсe yourself
Markov models
Markov models
Remember the future?
Sequential models
Sequential models
Order matters
Improving ML models
Improving ML models
Getting paid literally for tweaking numbers
t-SNE
t-SNE
Teasing out patterns that PCA won't show
Dimensionality reduction & PCA
Dimensionality reduction & PCA
The art of losing features
Intro to PyTorch
Intro to PyTorch
How to stop being afraid of pip install
Classification metrics
Classification metrics
For any occasion
Clustering metrics
Clustering metrics
For any occasion
Cluster analysis
Mean shift
Mean shift
Mode-seeking cluster analysis algorithm
Gaussian mixture models
Gaussian mixture models
Equal-opportunity modeling for all clusters
Gaussian processes
Gaussian processes
Bayesian poetry
Anomaly detection
Anomaly detection
Detecting novelty and outliers
Time series
Time series
Time is money
Ensemble methods
Ensemble methods
Main battle tank of ML
Intro to TensorFlow & Keras
Intro to TensorFlow & Keras
Coding, hooray!
Advanced optimizers
Advanced optimizers
Tricky spaces, tricky methods
Gradient optimization
Gradient optimization
Everybody gangsta until the real data
DBSCAN & OPTICS
DBSCAN & OPTICS
For tricky scenarios
Intro to MLOps
Intro to MLOps
Concentrated self-hatred
Video processing
Video processing
I hate my job
Image processing
Image processing
Always useful to know
K-nearest neighbors
K-nearest neighbors
Old but gold
Intro to Big Data
Intro to Big Data
Is this "data" in the room with us right now?
Association rule learning
Association rule learning
Writing rules from co-occurrence
Support vector machines
Support vector machines
Grandpa's old shotgun
Decision trees
Decision trees
How primitive can we get
Clustering & K-means
Clustering & K-means
Grouping data
Logistic regression
Logistic regression
Predictive caterpillar
Regression analysis
Regression analysis
For those who get the taste
Regularization
Regularization
Correcting engineer's mistakes
Linear regression
Linear regression
The most basic thing here
Exploratory data analysis
Exploratory data analysis
The most enjoyable part of the job
ML isn't for kids
ML isn't for kids
You will suffer
Programming
Algorithms and data structures
Algorithms and data structures
The core of programming
Mathematics
Calculus for ML/DS
Calculus for ML/DS
Vietnam flashbacks
Mathematics
Hypothesis testing, pt. 2
Hypothesis testing, pt. 2
Courtroom drama
Mathematics
Hypothesis testing
Hypothesis testing
Drink whiskey, reject hypotheses
Mathematics
Statistical distributions
Statistical distributions
You don't have any friends?
Mathematics
A non-boring intro to statistics, pt. 2
A non-boring intro to statistics, pt. 2
The science of lies
Mathematics
A non-boring intro to statistics
A non-boring intro to statistics
The engine of all this "AI"
Tools
Web tools for DS
Web tools for DS
"We'll do that in 10 minutes within a month"
Tools
Linux essentials for DS/ML
Linux essentials for DS/ML
Stay true
Misc
CS essentials for DS/ML
CS essentials for DS/ML
No hugging, only debugging
Mathematics
Linear algebra for ML
Linear algebra for ML
The magic starts here
Reflections
On research
On research
Something incredible is waiting to be known