Types of Machine Learning – Part 2 | Reinforcement Learning & Advanced ML Techniques

Welcome to Imarticus Learning! In Part 1, we introduced the basics of Supervised and Unsupervised Learning, but Machine Learning is a vast field, and there's much more to uncover. In Part 2, we dive deeper into Reinforcement Learning, Semi-Supervised Learning, and Self-Supervised Learning, highlighting their concepts along with real-world applications. You'll gain insights into how AI learns through rewards and penalties, the hybrid approach combining labeled and unlabeled data, and how AI trains itself without human intervention. Through engaging examples like AI mastering chess, improving speech recognition, and generating text and images, you'll understand these powerful techniques in action. As part of our commitment to offering the best machine learning videos, this session also covers important topics like Dimensionality Reduction Techniques, Clustering, Association Rules Mining in Unsupervised Learning, Time Series Modeling in Supervised Learning, and Deep Learning Categories. With expert guidance, flexible learning options, comprehensive support, and a strong focus on career success, Imarticus Learning empowers you to confidently step into the world of AI and Machine Learning.