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github-actions[bot] edited this page Nov 16, 2025 · 1 revision

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Toggle table of contents Pages 366

Home
2017 Attention Is All You Need
2018 Improving Language Understanding by Generative Pre Training
2019 Double Descent
2020 An Image is Worth 16x16 Words
2021 CLIP
2021 LoRA
2021 P Tuning
2021 Prefix Tuning
2021 Prompt Tuning
2022 FashionCLIP
2022 IA3 Finetuning
2023 LLaVA (VIsual Instruction Tuning)
2024 E5 V Universal Embeddings with MLLMs
2025 LLaVE ( Large Language and Vision Embedding Models with Hardness Weighted Contrastive Learning)
2025 Theoretical Limitations of Embedding Based Retrieval
A B Testing
A Chronological Map of RL
A Review of Structured Decoding
Ablation Test
ACORN
Actor Critic Methods
Adapter Layers
Adversarial Attacks
Alternating Least Squares
ANOVA
Area Under ROC Curve
Attention
Autocorrect
Automatic Differentiation
Bag of Words
Bagging vs Boosting
Bandits
Basics
Basics
Bayes' Rule
Bellman Equation
Benford's Law
Bernoulli Distribution
BERT vs BART
Binary Classification Metrics
Binomial Distribution
Binomial Test
BLEU Score
BM25
Bootstrapping
Box Cox Transform
Breakdown of Common Metrics
Byte Pair Encoding
Cauchy Distribution
Central Limit Theorem
Chain Rule
Challenges in RL
Chi Squared Distribution
Co occurrence Matrix
Collaborative Filtering
Conditional Probability
Confidence Intervals
Content Based Recommender Systems
Continuous Bag of Words (CBOW)
Cumulative Distribution Function
Definition of a Metric
Delauny Graphs
Density Ratio Estimation
Deterministic vs Stochastic Policies
Dimensionality Reduction
Euclidean Distance vs Cosine Similarity
Explanatory Data Analysis
Feature Extraction
Feature Scaling
Frequentists vs Bayesians
Gated Recurrent Neural Networks
Gauss Markov Theorem
GELU Activation
Generalised Advantage Estimation
GLUE Benchmark
Gradient Descent
Gradient Flow
Hidden Markov Model
HNSW
Hypothesis Testing
Images
Importance Sampling
Important Tricks
Intrinsic and Extrinsic Evaluation
Isolation Forrest
IVF (Inverted File Index)
Joint Distribution
K Means
Kernel Density Estimation
Kullback Leibler Divergence
Kurtosis
Likelihood vs Probability
Linear Algebra Basics
Linear Regression
Linear Regression Metrics
Locality Sensitive Hashing
Logistic Regression
Long Short Term Memory networks
Loss Functions
Machine Learning & Data Science A Review of Structured Decoding
Machine Learning & Data Science Ablation Test
Machine Learning & Data Science Adversarial Attacks
Machine Learning & Data Science Architecture Adapter Layers
Machine Learning & Data Science Architecture Gated Recurrent Neural Networks
Machine Learning & Data Science Architecture Long Short Term Memory networks
Machine Learning & Data Science Architecture Recurrent Neural Networks
Machine Learning & Data Science Architecture RMSNorm
Machine Learning & Data Science Architecture Siamese Networks
Machine Learning & Data Science Architecture Transformer Attention
Machine Learning & Data Science Architecture Transformer BERT vs BART
Machine Learning & Data Science Architecture Transformer Global and Local Attention
Machine Learning & Data Science Architecture Transformer Group Query Attention and Multi Query Attention
Machine Learning & Data Science Architecture Transformer KV Caching
Machine Learning & Data Science Architecture Transformer Positional Encodings
Machine Learning & Data Science Architecture Transformer Transformer
Machine Learning & Data Science Automatic Differentiation
Machine Learning & Data Science Datasets Images
Machine Learning & Data Science Datasets Multi Modal
Machine Learning & Data Science Dimensionality Reduction
Machine Learning & Data Science Distance Metrics Breakdown of Common Metrics
Machine Learning & Data Science Distance Metrics Definition of a Metric
Machine Learning & Data Science Distance Metrics Euclidean Distance vs Cosine Similarity
Machine Learning & Data Science Distance Metrics Triangle Inequality
Machine Learning & Data Science Explanatory Data Analysis
Machine Learning & Data Science Fraud Detection Benford's Law
Machine Learning & Data Science Gradient Flow
Machine Learning & Data Science Large Language Models BERT vs BART
Machine Learning & Data Science Large Language Models Speculative Decoding
Machine Learning & Data Science Large Language Models Structured Decoding
Machine Learning & Data Science Linear Algebra Basics
Machine Learning & Data Science Manifold
Machine Learning & Data Science Natural Language Processing Autocorrect
Machine Learning & Data Science Natural Language Processing Bag of Words
Machine Learning & Data Science Natural Language Processing BLEU Score
Machine Learning & Data Science Natural Language Processing Byte Pair Encoding
Machine Learning & Data Science Natural Language Processing Co occurrence Matrix
Machine Learning & Data Science Natural Language Processing Continuous Bag of Words (CBOW)
Machine Learning & Data Science Natural Language Processing Feature Extraction
Machine Learning & Data Science Natural Language Processing GLUE Benchmark
Machine Learning & Data Science Natural Language Processing N Gram Model
Machine Learning & Data Science Natural Language Processing One hot Word Representation
Machine Learning & Data Science Natural Language Processing Part of Speech Tagging
Machine Learning & Data Science Natural Language Processing Preprocessing
Machine Learning & Data Science Natural Language Processing ROUGE Score
Machine Learning & Data Science Natural Language Processing Seq2Seq
Machine Learning & Data Science Natural Language Processing Temperature Scaled Mixing
Machine Learning & Data Science Natural Language Processing Term Document Matrix
Machine Learning & Data Science Natural Language Processing Term Frequency Inverse Document Frequency
Machine Learning & Data Science Natural Language Processing Tokenisation Byte Pair Encoding
Machine Learning & Data Science Natural Language Processing Tokenisation SentencePiece
Machine Learning & Data Science Natural Language Processing Tokenisation SuperBPE
Machine Learning & Data Science Natural Language Processing Tokenisation WordPiece
Machine Learning & Data Science Natural Language Processing Vector Space Models
Machine Learning & Data Science Natural Language Processing Word Embeddings
Machine Learning & Data Science Open vs Closed Models
Machine Learning & Data Science Parameter Efficient Fine Tuning Prefix Finetuning
Machine Learning & Data Science Parameter Efficient Fine Tuning Prompt Tuning
Machine Learning & Data Science Performance Metrics Area Under ROC Curve
Machine Learning & Data Science Performance Metrics Binary Classification Metrics
Machine Learning & Data Science Performance Metrics Intrinsic and Extrinsic Evaluation
Machine Learning & Data Science Performance Metrics Linear Regression Metrics
Machine Learning & Data Science Performance Metrics Perplexity
Machine Learning & Data Science Probability ANOVA
Machine Learning & Data Science Probability Basics
Machine Learning & Data Science Probability Bayes' Rule
Machine Learning & Data Science Probability Binomial Test
Machine Learning & Data Science Probability Chain Rule
Machine Learning & Data Science Probability Conditional Probability
Machine Learning & Data Science Probability Confidence Intervals
Machine Learning & Data Science Probability Conjugate Priors
Machine Learning & Data Science Probability Distributions Bernoulli Distribution
Machine Learning & Data Science Probability Distributions Binomial Distribution
Machine Learning & Data Science Probability Distributions Cauchy Distribution
Machine Learning & Data Science Probability Distributions Chi Squared Distribution
Machine Learning & Data Science Probability Distributions Cumulative Distribution Function
Machine Learning & Data Science Probability Distributions Joint Distribution
Machine Learning & Data Science Probability Distributions Kurtosis
Machine Learning & Data Science Probability Distributions Moments of a Distribution
Machine Learning & Data Science Probability Distributions Multivariate Guassian Distribution
Machine Learning & Data Science Probability Distributions Normal Distribution
Machine Learning & Data Science Probability Distributions Skewness
Machine Learning & Data Science Probability Distributions T Distribution
Machine Learning & Data Science Probability Distributions Uniform Distribution
Machine Learning & Data Science Probability Hidden Markov Model
Machine Learning & Data Science Probability Kullback Leibler Divergence
Machine Learning & Data Science Probability Markov Chains
Machine Learning & Data Science Probability Naïve Bayes
Machine Learning & Data Science Probability Probability vs Confidence
Machine Learning & Data Science Probability Quantiles
Machine Learning & Data Science Probability Random Variables
Machine Learning & Data Science Probability Sampling
Machine Learning & Data Science Probability Visualisation Kernel Density Estimation
Machine Learning & Data Science Probability Visualisation QQ Plots
Machine Learning & Data Science Probability Visualisation Violin Plots
Machine Learning & Data Science Probability Viterbi Algorithm
Machine Learning & Data Science README
Machine Learning & Data Science Recommender Systems Alternating Least Squares
Machine Learning & Data Science Recommender Systems Collaborative Filtering
Machine Learning & Data Science Recommender Systems Content Based Recommender Systems
Machine Learning & Data Science Reinforcement Learning Bandits Bandits
Machine Learning & Data Science Reinforcement Learning Bandits Multi Armed Bandits
Machine Learning & Data Science Reinforcement Learning Bandits Thompson Sampling
Machine Learning & Data Science Reinforcement Learning Bandits Upper Confidence Bound (UCB)
Machine Learning & Data Science Reinforcement Learning Bandits ε Greedy MAB Algorithm
Machine Learning & Data Science Reinforcement Learning Exploration Mavericks
Machine Learning & Data Science Reinforcement Learning Fundamentals A Chronological Map of RL
Machine Learning & Data Science Reinforcement Learning Fundamentals Bellman Equation
Machine Learning & Data Science Reinforcement Learning Fundamentals Challenges in RL
Machine Learning & Data Science Reinforcement Learning Fundamentals Deterministic vs Stochastic Policies
Machine Learning & Data Science Reinforcement Learning Fundamentals Markov Decision Processes
Machine Learning & Data Science Reinforcement Learning Fundamentals The Basics
Machine Learning & Data Science Reinforcement Learning Policy Optimization Advantage Estimation Actor Critic Methods
Machine Learning & Data Science Reinforcement Learning Policy Optimization Advantage Estimation Generalised Advantage Estimation
Machine Learning & Data Science Reinforcement Learning Policy Optimization Advantage Estimation Overview
Machine Learning & Data Science Reinforcement Learning Policy Optimization Advantage Estimation Reward to Go
Machine Learning & Data Science Reinforcement Learning Policy Optimization Advantage Estimation Temporal Difference Error
Machine Learning & Data Science Reinforcement Learning Policy Optimization GRPO
Machine Learning & Data Science Reinforcement Learning Policy Optimization Importance Sampling
Machine Learning & Data Science Reinforcement Learning Policy Optimization Important Tricks
Machine Learning & Data Science Reinforcement Learning Policy Optimization Policy Gradient Optimisation
Machine Learning & Data Science Reinforcement Learning Policy Optimization PPO
Machine Learning & Data Science Reinforcement Learning Policy Optimization REINFORCE
Machine Learning & Data Science Reinforcement Learning Policy Optimization RLHF
Machine Learning & Data Science Reinforcement Learning Policy Optimization TRPO
Machine Learning & Data Science Reinforcement Learning Value Based Q Functions
Machine Learning & Data Science Relaxed Monotonicity
Machine Learning & Data Science Statistics A B Testing
Machine Learning & Data Science Statistics Basics
Machine Learning & Data Science Statistics Central Limit Theorem
Machine Learning & Data Science Statistics Density Ratio Estimation
Machine Learning & Data Science Statistics Feature Scaling
Machine Learning & Data Science Statistics Frequentists vs Bayesians
Machine Learning & Data Science Statistics Gauss Markov Theorem
Machine Learning & Data Science Statistics Hypothesis Testing
Machine Learning & Data Science Statistics Maximum a Posteriori (MAP)
Machine Learning & Data Science Statistics Ordinary Least Squares
Machine Learning & Data Science Statistics Point Estimation Likelihood vs Probability
Machine Learning & Data Science Statistics Point Estimation Maximum Likelihood Estimation
Machine Learning & Data Science Statistics Splines
Machine Learning & Data Science Statistics Time Series Analysis Box Cox Transform
Machine Learning & Data Science Statistics Time Series Analysis Stationarity
Machine Learning & Data Science Statistics Time Series Analysis Time Series Decomposition
Machine Learning & Data Science Supervised Learning Bagging vs Boosting
Machine Learning & Data Science Supervised Learning Bootstrapping
Machine Learning & Data Science Supervised Learning GeGLU
Machine Learning & Data Science Supervised Learning GELU Activation
Machine Learning & Data Science Supervised Learning Gradient Accumulation
Machine Learning & Data Science Supervised Learning Gradient Descent
Machine Learning & Data Science Supervised Learning Linear Regression
Machine Learning & Data Science Supervised Learning Locality Sensitive Hashing
Machine Learning & Data Science Supervised Learning Logistic Regression
Machine Learning & Data Science Supervised Learning Loss Functions
Machine Learning & Data Science Supervised Learning Neural Networks
Machine Learning & Data Science Supervised Learning Overfitting & Underfitting
Machine Learning & Data Science Supervised Learning Random Forest
Machine Learning & Data Science Supervised Learning Regularisation
Machine Learning & Data Science Supervised Learning ReLU
Machine Learning & Data Science Supervised Learning softmax
Machine Learning & Data Science Supervised Learning Support Vector Machines
Machine Learning & Data Science The Asymptotically Normal Assumption
Machine Learning & Data Science The Residual Stream
Machine Learning & Data Science Unsupervised Learning Clustering K Means
Machine Learning & Data Science Unsupervised Learning Isolation Forrest
Machine Learning & Data Science Unsupervised Learning Time Series Models
Machine Learning & Data Science Vector Search ACORN
Machine Learning & Data Science Vector Search BM25
Machine Learning & Data Science Vector Search Delauny Graphs
Machine Learning & Data Science Vector Search HNSW
Machine Learning & Data Science Vector Search IVF (Inverted File Index)
Machine Learning & Data Science Vector Search Product Quantisation
Machine Learning & Data Science Vector Search VBase
Machine Learning & Data Science Vector Search Voronoi Diagrams
Manifold
Markov Chains
Markov Decision Processes
Mavericks
Maximum a Posteriori (MAP)
Maximum Likelihood Estimation
Moments of a Distribution
Multi Armed Bandits
Multi Modal
Multivariate Guassian Distribution
N Gram Model
Naïve Bayes
Neural Networks
Normal Distribution
One hot Word Representation
Open vs Closed Models
Ordinary Least Squares
Overfitting & Underfitting
Overview
Part of Speech Tagging
Perplexity
Policy Gradient Optimisation
Positional Encodings
Prefix Finetuning
Preprocessing
Probability vs Confidence
Product Quantisation
Prompt Tuning
Q Functions
QQ Plots
Quantiles
Random Forest
Random Variables
README
README
Recurrent Neural Networks
Regularisation
REINFORCE
Relaxed Monotonicity
ReLU
Research Paper Explanations 2019 Double Descent
Research Paper Explanations 2025 Theoretical Limitations of Embedding Based Retrieval
Research Paper Explanations Parameter Efficient Fine Tuning 2021 LoRA
Research Paper Explanations Parameter Efficient Fine Tuning 2021 P Tuning
Research Paper Explanations Parameter Efficient Fine Tuning 2021 Prefix Tuning
Research Paper Explanations Parameter Efficient Fine Tuning 2021 Prompt Tuning
Research Paper Explanations Parameter Efficient Fine Tuning 2022 IA3 Finetuning
Research Paper Explanations README
Research Paper Explanations Representation Learning 2021 CLIP
Research Paper Explanations Representation Learning 2024 E5 V Universal Embeddings with MLLMs
Research Paper Explanations Transformers 2017 Attention Is All You Need
Research Paper Explanations Transformers 2018 Improving Language Understanding by Generative Pre Training
Research Paper Explanations Transformers 2020 An Image is Worth 16x16 Words
Research Paper Explanations UniME V2
Research Paper Explanations Upcycling 2022 FashionCLIP
Research Paper Explanations Upcycling 2023 LLaVA (VIsual Instruction Tuning)
Research Paper Explanations Upcycling 2025 LLaVE ( Large Language and Vision Embedding Models with Hardness Weighted Contrastive Learning)
Reward to Go
RLHF
ROUGE Score
Sampling
Seq2Seq
Siamese Networks
Skewness
softmax
Speculative Decoding
Splines
Stationarity
Structured Decoding
Support Vector Machines
T Distribution
Temperature Scaled Mixing
Temporal Difference Error
Term Document Matrix
Term Frequency Inverse Document Frequency
The Asymptotically Normal Assumption
The Basics
The Residual Stream
Thompson Sampling
Time Series Decomposition
Time Series Models
Transformer
Triangle Inequality
Uniform Distribution
UniME V2
Upper Confidence Bound (UCB)
VBase
Vector Space Models
Violin Plots
Viterbi Algorithm
Voronoi Diagrams
Word Embeddings
ε Greedy MAB Algorithm

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