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All-Reduce and Ring-Reduce for Model Synchronization in Multi-GPU Training
Two synchronization algorithms for intermediate-ML models.
Jul 25
22
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All-Reduce and Ring-Reduce for Model Synchronization in Multi-GPU Training
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Conformal Predictions: Build Confidence in Your ML Model's Predictions
A step towards building and using ML models reliably.
Jul 22
•
Avi Chawla
26
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Conformal Predictions: Build Confidence in Your ML Model's Predictions
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Random Forest vs. ExTra Trees
"ExTra" does not mean more.
Jul 21
•
Avi Chawla
25
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Random Forest vs. ExTra Trees
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Logistic Regression Cannot Perfectly Model Well-separated Classes
But isn't well-separated data easiest to separate?
Jul 20
•
Avi Chawla
24
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Logistic Regression Cannot Perfectly Model Well-separated Classes
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Where Did the Regularization Term Originate From?
An intuitive and probabilistic guide to regularization.
Jul 17
•
Avi Chawla
18
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Where Did the Regularization Term Originate From?
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Quantization: Run ML Models on Tiny Hardware
A must-know skill for ML engineers.
Jul 15
•
Avi Chawla
21
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Quantization: Run ML Models on Tiny Hardware
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The Right Way to Use Multiple Embedding Models
A mistake that often goes unnoticed.
Jul 13
•
Avi Chawla
20
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The Right Way to Use Multiple Embedding Models
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Zero-inflated Regression
What it is and how it ruins ML modelling.
Jul 11
•
Avi Chawla
29
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Zero-inflated Regression
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3 Types of Missing Values
...and how to impute them.
Jul 7
•
Avi Chawla
41
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3 Types of Missing Values
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How Does MiniBatchKMeans Works?
A step-by-step visual guide to mini-batch KMeans.
Jul 6
•
Avi Chawla
24
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How Does MiniBatchKMeans Works?
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Automated EDA Tool Stack
8 automated EDA tools in a single frame.
Jul 5
•
Avi Chawla
39
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Automated EDA Tool Stack
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Are you Misinterpreting Continuous Probability Distributions?
The difference between probability density function and probability.
Jul 4
•
Avi Chawla
24
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Are you Misinterpreting Continuous Probability Distributions?
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