AI開発の基礎知識とまとめ（331～365）– AIプロジェクトの全体像を理解し、これまでの知識を総括します。 –

Recap and Today's Theme Hello! In the last episode, we covered data storage and management, introducing efficient ways to store and manage data using databases and data lakes. We learned how selecting the right technology according to pr...

Recap and Today's Theme Hello! In the previous episode, we discussed data annotation, a crucial step in AI model training. We covered the importance of accurately labeling data, which directly impacts model performance. We also looked at...

Recap and Today's Theme Hello! In the previous episode, we discussed data collection methods, including web scraping and API usage, to gather high-quality data for AI projects. Today, we’ll dive into data annotation, a critical process i...

Recap and Today's Theme Hello! In the last episode, we discussed project planning and requirement gathering, focusing on the importance of setting clear goals and gathering the right requirements for an AI project. Today, we’ll explore h...

Recap and Today's Theme Hello! In the previous episode, we discussed the overall process of AI project management, covering everything from problem definition to model deployment, operation, and improvement. We learned that proper decisi...

Recap and Today's Theme Hello! In the last episode, we reviewed Chapter 11, focusing on a summary and understanding check of speech recognition and audio processing techniques. Today, we’ll shift gears and look at the flow of an AI proje...