Introduction
ML Fundamentals
Classical Machine Learning
- Basics
- Unsupervised Learning
Neural Networks
Loss
Computer Vision
NLP
Parallel Computing
Anomaly Detection
- DBSCAN
- Autoencoder
Visualization

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MapReduce
Broadcast
Map
Reduce
Data Parallelism
Parallel Gradient Descent Using MapReduce
Speedup Ratio
Communication Cost
Bulk Synchronous
Synchronization Cost
Footnote

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Parallel Computing

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