Introduction to Semi Supervised Machine Learning | FOML-6

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Introduction to Semi Supervised Machine Learning | FOML-6

Welcome to our beginner-friendly guide on semi-supervised learning! In this video, we'll explore the powerful fusion of supervised and unsupervised techniques. Semi-supervised learning bridges the gap between labeled data scarcity and abundant unlabeled data. Here's what we'll cover:

1. **What Is Semi-Supervised Learning?** Understand how it combines labeled and unlabeled data for AI model training.
2. **Popular Techniques:** Dive into self-training, pseudo-labeling, and co-training.
3. **Use Cases:** Discover scenarios where semi-supervised learning shines.
4. **Mathematical Formulation:** Explore the underlying assumptions and limitations.

🔍 **Real-Life Applications:**
- Customer segmentation
- Anomaly detection
- Drug discovery
- Genetic sequencing

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🔥 **Hashtags:**
#SemiSupervisedLearning #MachineLearning #AI #DataScience #SelfTraining #PseudoLabeling #CoTraining #DataMining #AnomalyDetection #TechEducation #Genomics #AICommunity #LearnToCode
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