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Machine Learning
Blog posts
A workflow for creating a Docker image with support for TensorFlow, PyTorch, and GPU
Reading: Hands-On ML - Quick notes (Chapter 14 & 15)
draft
[archived] Resources for DS & ML & DL
Reading: Hands-On ML - Chap 2: End-to-End ML Project
Reading: Hands-On ML - Chap 1: The ML Landscape
Reading: Hands-On ML - Chap 3: Classification
Reading: Hands-On ML - Quick notes (Chapter 10 — 13)
Reading: Hands-On ML - Quick notes (Chapter 4 — 9)
HOG (Histogram of Oriented Gradients)
draft
DS & ML with Mac M1
Metrics for clustering
Principal Component Analysis (PCA)
Decision Tree Classifier
Support Vector Machine (SVM)
Confusion matrix & f1-score
Jupyter notebook
Tensorflow
Undefitting & Overfitting
draft
Dynamic Time Warping (DTW)
Mean Shift clustering
DBSCAN / HDBSCAN Clustering
Pipeline & GridSearch
draft
Random Forest
Decision Tree Regression
K-Means & K-Medoids Clustering