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How a For-loop and List Comprehension Differ at Scope Level
A lesser-talked difference between for-loop and list comprehension.
15 hrs ago
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Avi Chawla
18
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How a For-loop and List Comprehension Differ at Scope Level
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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
23
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All-Reduce and Ring-Reduce for Model Synchronization in Multi-GPU Training
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Improve Matplotlib Plot Quality
A hidden Matplotlib hack waiting to be discovered.
Jul 24
•
Avi Chawla
21
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Improve Matplotlib Plot Quality
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What Happens When You Append Rows to a Pandas DataFrame
Understanding the internal working of Pandas DataFrame.
Jul 23
•
Avi Chawla
23
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What Happens When You Append Rows to a Pandas DataFrame
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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
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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
blog.dailydoseofds.com
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How does “Python -m” Work?
Understanding the utility of ‘-m’ flag in Python.
Jul 19
•
Avi Chawla
26
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How does “Python -m” Work?
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9 Python Command Line Flags
Commonly used Python command-line options in a single frame.
Jul 18
•
Avi Chawla
24
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9 Python Command Line Flags
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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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Visualize Skewed Geographical Data
A lesser-known technique to counter skewness.
Jul 16
•
Avi Chawla
16
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Visualize Skewed Geographical Data
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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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