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Berta Chapters
luigipascal/berta-chapters
Home
Getting Started
Setup Guide (Step by Step)
Curriculum
Curriculum
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Chapters
Chapters
Foundation Track
Foundation Track
Ch 1: Python Fundamentals
1.1 Introduction
1.2 Intermediate
1.3 Advanced
Ch 2: Data Structures
2.1 Introduction
2.2 Intermediate
2.3 Advanced
Ch 3: Linear Algebra
3.1 Introduction
3.2 Intermediate
3.3 Advanced
Ch 4: Probability & Statistics
4.1 Introduction
4.2 Intermediate
4.3 Advanced
Ch 5: Software Design
5.1 Introduction
5.2 Intermediate
5.3 Advanced
Practitioner Track
Practitioner Track
Ch 6: Intro to ML
6.1 Introduction
6.2 Intermediate
6.3 Advanced
Ch 7: Supervised Learning
7.1 Introduction
7.2 Intermediate
7.3 Advanced
Ch 8: Unsupervised Learning
8.1 Introduction
8.2 Intermediate
8.3 Advanced
Ch 9: Deep Learning Fundamentals
9.1 Introduction
9.2 Intermediate
9.3 Advanced
Ch 10: Natural Language Processing
10.1 Introduction
10.2 Intermediate
10.3 Advanced
Ch 11: LLMs & Transformers
11.1 Introduction
11.2 Intermediate
11.3 Advanced
Ch 12: Prompt Engineering
12.1 Introduction
12.2 Intermediate
12.3 Advanced
Ch 13: Retrieval-Augmented Generation
13.1 Introduction
13.2 Intermediate
13.3 Advanced
Ch 14: Fine-tuning & Adaptation
14.1 Introduction
14.2 Intermediate
14.3 Advanced
Ch 15: MLOps & Model Deployment
15.1 Introduction
15.2 Intermediate
15.3 Advanced
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