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Recommended resources
Module 1
Classical ML Foundations
Module 3
Model Evaluation and Validation
Module 4
Essential Probability and Statistics
Module 5
Advanced SQL for Data Analysis
Module 6
Data Engineering Principles and Tooling
Module 7
Introduction to Distributed Data Processing with Spark
Module 8
From RNNs to Transformers: Core Concepts
Module 9
Applied LLMs and Modern NLP
Module 10
MLOps: From Development to Production
Module 11