Explained - Machine Learning
44 videos • 4,672 views • by DataMListic
1
Connectionist Temporal Classification (CTC) Explained
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2
Long Short-Term Memory (LSTM) Equations Explained
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3
Transformer Self-Attention Mechanism Explained | Attention Is All You Need
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4
Term Frequency Inverse Document Frequency (TF-IDF) Explained
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5
Gated Recurrent Unit (GRU) Equations Explained
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6
ReLU Activation Function Variants Explained | LReLU | PReLU | GELU | SILU | ELU
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7
Estimated Calibration Error (ECE) Explained (Model Calibration, Reliability Curve)
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8
Mel Frequency Cepstral Coefficients (MFCC) Explained
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9
Multivariate Normal (Gaussian) Distribution Explained
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10
AdamW Optimizer Explained | L2 Regularization vs Weight Decay
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11
Bagging vs Boosting - Ensemble Learning In Machine Learning Explained
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12
Spectral Features - Deltas and Delta-Deltas Explained
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13
Measuring Artificial Intelligence (AI) Fairness - Disparate Impact Explained
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14
Gradient Boosting with Regression Trees Explained
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15
The Brier Score Explained | Model Calibration
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16
How to Select the BEST Threshold for Your Model Using the ROC Curve
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17
Object Detection Part 1: R-CNN, Sliding Window and Selective Search
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18
Capsule Networks Explained | Why Using Pooling is a Bad Idea
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19
Fourier Transform Formula Explained
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20
Gaussian Mixture Models (GMM) Explained
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21
XGBoost Explained in Under 3 Minutes
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22
Discrete Fourier Transform (DFT and IDFT) Explained in Python
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23
How to Fine-tune Large Language Models Like ChatGPT with Low-Rank Adaptation (LoRA)
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24
Kabsch-Umeyama Algorithm - How to Align Point Patterns
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25
Multi-Head Attention (MHA), Multi-Query Attention (MQA), Grouped Query Attention (GQA) Explained
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26
Eigendecomposition Explained
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27
Covariance and Correlation Explained
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28
Kullback-Leibler (KL) Divergence Mathematics Explained
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29
P-Values Explained | P Value Hypothesis Testing
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30
LLM Prompt Engineering with Random Sampling: Temperature, Top-k, Top-p
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31
Two Towers vs Siamese Networks vs Triplet Loss - Compute Comparable Embeddings
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32
Spearman Correlation Explained in 3 Minutes
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33
Word Error Rate (WER) Explained - Measuring the performance of speech recognition systems
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34
Hyperparameters Tuning: Grid Search vs Random Search
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35
LLM Tokenizers Explained: BPE Encoding, WordPiece and SentencePiece
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36
BART Explained: Denoising Sequence-to-Sequence Pre-training
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37
Sliding Window Attention (Longformer) Explained
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38
Cross-Validation Explained
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39
BLEU Score Explained
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40
ROUGE Score Explained
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41
Singular Value Decomposition (SVD) Explained
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42
Vector Database Search - Hierarchical Navigable Small Worlds (HNSW) Explained
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43
Least Squares vs Maximum Likelihood
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44
The Bitter Lesson (in AI)...
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