Machine Learning Guide
A machine learning podcast teaching the fundamentals of machine learning and artificial intelligence. It covers intuition, models, neural networks, math, languages, frameworks, etc. Where visual ML resources provide the trees, I provide the forest. Podcasts are a great supplement during exercise, commute, chores, etc.
MLG 020 Natural Language Processing 3
Jul 23, 2017
Click to Play Episode
Natural Language Processing classical/shallow algorithms.
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Show Notes
- Parsing
- Constituents
- Grammar: Context Free Grammars (CFGs), Probabalistic CFGs (PCFGs), Cocke–Younger–Kasami (CYK)
- Dependency Tree: Greedy transition-based parsing (stack/buffer)
- SyntaxNet (English = Parsey McParseface)
- Relationship Extraction
- Question Answering / Textual Entailment (TF-IDF+Cosine Similarity; Parsing; NER)
- Automatic summarization (TF-IDF; TextRank)
- Machine Translation (details here)
Resources
Note: Resources best viewed here, keeping this list for posterity
Speech and Language Processing
Natural Language Processing - Stanford University
CS224N: Natural Language Processing with Deep Learning | Winter 2019