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.
Overview
Syllabus
Intro
ML 101 + Prerequisites
Sentdex + Neural Nets from Scratch
ML Coursera
100 Page ML Book
Applied ML + Daniel Bourke
Origin of Modern NLP
CS224N
NLP Specialization Coursera
Modern NLP + Transformers Intro
Transformer Courses
Doing Projects
Semantic + Vector Search
NLP for Semantic Search
Mining of Massive Datasets
Final Points
Taught by
James Briggs
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Neural Nets for NLP 2021 - Document-Level Models
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Semantic Search: Revolutionizing Information Retrieval - Nils Reimers
