Introduction to Data Collection Methods in AI & ML | End-to-End Session 24

Ready to dive deep into the world of
Artificial Intelligence
Machine Learning (AIML)?

Welcome to Session 24 of our comprehensive AI & ML series! In this session, we introduce you to the fundamental concepts and techniques of Data Collection—a critical first step in any AI and machine learning project. Understanding how to gather, organize, and prepare data is essential for building accurate and effective models. This session is tailored for both beginners and experienced practitioners looking to enhance their knowledge of data collection strategies.

What You’ll Learn:

Overview of data collection in AI & ML
Primary vs. secondary data sources
Techniques for web scraping and API data extraction
Ethical considerations in data collection
Data storage and management best practices
Introduction to data collection tools and software
Real-world examples and case studies in AI & ML
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