Machine Learning Explained: Understanding the ML Life Cycle | Machine learning in ai |
Автор: Bestie Lessons
Загружено: 2025-03-02
Просмотров: 399
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Machine Learning Life Cycle Explained!
In this video, we break down the Machine Learning Life Cycle—a step-by-step process to develop, train, and deploy ML models. Learn about key stages:
1️⃣ Problem Definition – Understanding the goal and data requirements
2️⃣ Data Collection & Preprocessing – Gathering, cleaning, and preparing data
3️⃣ Model Selection & Training – Choosing the right algorithm and training the model
4️⃣ Evaluation & Tuning – Assessing performance and optimizing hyperparameters
5️⃣ Deployment – Integrating the model into real-world applications
6️⃣ Monitoring & Maintenance – Ensuring continuous performance and improvements
Watch now to master the complete ML workflow! Don’t forget to like, share, and subscribe for more AI content!
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