A-Warded
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Natural Language Processing
Natural Language Processing
34 lessons across 6 topics
1. Introduction
1
Ethics And Bias
2
Evaluation Metrics
3
Linguistic Basics
4
Nlp History
5
Tools And Resources
6
What Is Nlp
2. Text Processing
7
Feature Engineering
8
Morphology
9
Normalization
10
Tokenization
11
Vector Representations
3. Statistical Models
12
Bayesian Nlp
13
Classifiers
14
Crfs
15
Hmms
16
Language Modeling
4. Neural Methods
17
Cnns For Nlp
18
Optimization
19
Pretrained Models
20
Rnns
21
Transformers
22
Word Embeddings
5. Core Tasks
23
Machine Translation
24
Ner
25
Parsing
26
Pos Tagging
27
Qa Systems
28
Summarization
6. Advanced Topics
29
Deployment
30
Dialogue
31
Interpretability
32
Multilingual Nlp
33
Research Methods
34
Robustness
