Why Overfitting and Underfitting Happen #machinelearning #datascience #overfitting #variance #bias

Fourier Transform Maths Explained #fouriertransform #maths #mathematics

Neural Nets Can Learn Any Function? #neuralnetworks #machinelearning #datascience #deeplearning

Gaussian (Normal) Distribution Explained #gaussian #distribution #statistics #datascience #maths

Divide By N-1 in the Variance Formula #datascience #math #machinelearning #statistics #variance

The ROC curve - select the best threshold #datascience #machinelearning #statistics #mathematics

Neural Networks on Tabular Data #datascience #machinelearning #neuralnetworks #deeplearning

Why we scale the input features #datascience #machinelearning #statistics #stats #optimization

Why we build deep neural networks #machinelearning #deeplearning #neuralnetworks #datascience

Why ResNet (Residual Connections) Works #datascience #machinelearning #deeplearning #neuralnetworks

Gaussian Mixture Models (GMMs) #datascience #normaldistribution #machinelearning #statistics

Gradient Boosting Explained #datascience #machinelearning #statistics #boosting #math

Why Batch Norm Works #machinelearning #deeplearning #neuralnetworks #datascience

AdamW Optimizer Explained #datascience #machinelearning #deeplearning #optimization

Why Naive Bayes Is Naive? #datascience #machinelearning #artificialintelligence #statistics

How does TF-IDF work? #datascience #naturallanguageprocessing #machinelearning #nlp #ml

XGBoost explained #datascience #machinelearning #statistics #xgboost #decisiontrees

Object detection: R-CNN, Fast R-CNN and Faster R-CNN #datascience #deeplearning #computervision

Low-rank adaptation (LoRA) - fine-tune large language models like ChatGPT #machinelearning #chatgpt

Mel Frequency Cepstral Coefficients (MFCC) #maths #datascience #speechrecognition #signalprocessing

Model Calibration - Estimated Error Calibration (ECE) #machinelearning #datascience #statistics #ece

ReLU Variants #machinelearning #datascience #deeplearning #neuralnetworks #artificialintelligence

Attention Mechanism Explained #machinelearning #transformers #deeplearning #datascience #nlp

P-Values Explained #datascience #machinelearning #statistics #maths #math #mathematics

Why large language models hallucinate #datascience #machinelearning #chatgpt #llama2 #deeplearning

Why we don't use the mean squared error for classification #machinelearning #datascience #stats

Brier Score Explained #machinelearning #datascience #statistics #maths

Eigendecomposition Explained #machinelearning #maths #datascience #linearalgebra #eigenvectors

KL Divergence #machinelearning #datascience #statistics #maths #deeplearning #probabilities

Prompt Engineering with random sampling and temperature #machinelearning #languagemodels #llms #gpt

Covariance Explained #statistics #datascience #machinelearning #maths #mathematics

Two Towers Architecture #machinelearning #deeplearning #statistics #maths #datascience #transformers

Spearman Correlation Explained #datascience #machinelearning #statistics #correlation #maths

Word Error Rate (WER) Explained #speechrecognition #audioprocessing #datascience #machinelearning

Stable Diffusion dreams of visiting France #stablediffusion #generativeai #generativeart

RCNN Explained #objectdetection #computervision #machinelearning #deeplearning

Fast RCNN Explained #computervision #objectdetection #deeplearning #machinelearning

Faster RCNN Explained #rcnn #objectdetection #computervision #datascience #machinelearning

Hyperparameters search - grid search vs random search #machinelearning #datanalysis #datascience

Byte-Pair Encoding (BPE) Tokenizer #machinelearning #datascience #naturallanguageprocessing #nlp

YOLO Explained #machinelearning #datascience #deeplearning #objectdetection #computervision

The Hungarian Algorithm #computervision #machinelearning #algorithms #datascience

Sliding Window Attention #machinelearning #datascience #naturallanguageprocessing #llms #attention

BART Model Explained #machinelearning #datascience #bart #transformer #attentionmechanism

BLEU Score Explained #machinelearning #translation #bleu #nlp

ROUGE Score Explained #machinelearning #datascience #summarization #nlp #rouge

Singular Value Decomposition (SVD) Explained #machinelearning #datascience #linearalgebra #stats

Hierarchical Navigable Small Worlds (HNSW) Explained #machinelearning #datascience #vectordatabase

AI Reading List - Item 1 #machinelearning #datascience #readinglist #ai #education #deeplearning

AI Reading List - Part 2 #artificialintelligence #datascience #deeplearning #machinelearning

AI Reading List - Part 3 #deeplearning #machinelearning #datascience #artificialintelligence

AI Reading List - Part 4 #deeplearning #datascience #machinelearning #artificialintelligence

AI Reading List -Item 5 #deeplearning #ailearning #machinelearning #datascience

Linear Regression vs Maximum Likelihood #machinelearning #statistics #datascience

Joint, Marginal and Conditional Probability Explained #machinelearning #datascience #statistics

Covariance Matrix Explained #datascience #machinelearning #statistics #maths

AI Reading List - Item 6 #datascience #machinelearning #deeplearning #statistics #neuralnetworks

Independent T-Test Explained #statistics #maths #datascience #dataanalytics #machinelearning

Dependent t-test #statistics #maths #datascience #machinelearning

One Sample t-test #maths #statistics #datascience #machine learning #stats

Poisson Distribution Explained #maths #education #datascience #statistics #stats

L1 vs L2 Regularization Explained #machinelearning #datascience #statistics

Why regularization works? #maths #datascience #machinelearning #regularization #ai

T-Test vs Z-Test #maths #statistics #datascience #machinelearning #stats

Confidence Intervals - Explained #datascience #statistics #maths #machinelearning #stats #ds #ml

Overfitting vs Underfitting - Explained #datascience #statisticaldata #machinelearning #ds #ml #ai

Why L1 regularization produces sparse weights #datascience #machinelearning #statistics

Content-Based Recommender Systems - Explained #datascience #machinelearning #statistics

Collaborative Filtering Recommender Systems - Explained #datascience #machinelearning #recommender

Matrix Factorization - Recommender Systems #datascience #machinelearning #recommender #maths

Dropout in Neural Networks #neuralnetworks #machinelearning #datascience #maths #dataanlysis

Weights Initialization #datascience #machinelearning #dataanlysis #maths #neuralnetworks

Cross-Entropy Explained #datascience #machinelearning #statistics #dataanlysis

Common Issues in Recommender Systems #datascience #machinelearning #statistics

Multi-Head Attention (MHA), Multi-Query Attention (MQA), Grouped-Query Attention (GQA) #transformers

Curse of Dimensionality - Explained #machinelearning #datascience #statistics #dataanlysis #maths

The Kernel Trick - Explained #datascience #machinelearning #statistics #dataanlysis

The RBF Kernel (w/ caps) #machinelearning #datascience #statistics #mathematics

Bayesian Optimization - Explained #datascience #machinelearning #dataanlysis #statistics

Bayesian Optimization - Intro #datascience #statistics #machinelearning #dataanlysis #maths

Gaussian Processes - Explained #machinelearning #statistics #maths #datascience

Kernel Trick - Non-linear transformations #machinelearning #datascience #statistics #dataanlysis

Cross-Entropy #machinelearning #datascience

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vector database search #machinelearning #datascience #computerscience

gaussian distribution #mathematics #shorts

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