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1
Intro
2
ML 101 + Prerequisites
3
Sentdex + Neural Nets from Scratch
4
ML Coursera
5
100 Page ML Book
6
Applied ML + Daniel Bourke
7
Origin of Modern NLP
8
CS224N
9
NLP Specialization Coursera
10
Modern NLP + Transformers Intro
11
Transformer Courses
12
Doing Projects
13
Semantic + Vector Search
14
NLP for Semantic Search
15
Mining of Massive Datasets
16
Final Points
Description:
Discover a comprehensive guide for self-learning Natural Language Processing (NLP) in this 23-minute video. Explore a curated curriculum of free resources for beginners, covering essential topics from machine learning basics to advanced NLP concepts. Learn about neural networks, transformers, and semantic search through recommended courses, books, and projects. Follow this step-by-step roadmap to navigate the NLP landscape and work towards a full-time position in the field, leveraging insights from an experienced practitioner's journey.

How to Learn NLP for Beginners

James Briggs
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