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Machine Learning Techniques Lecture 1 in Hinglish - Learning and Types of Machine Learning

In this lecture of the Machine Learning Techniques series, we explore the fundamental concept of learning in Machine Learning and understand how machines improve their performance through experience. The session introduces the formal definition of learning using Task (T), Experience (E), and Performance Measure (P), followed by a detailed discussion of the major types of Machine Learning.

Topics Covered:

Introduction to Learning in Machine Learning

Learning from Experience: Task, Performance, and Experience

Machine Learning Learning Problem

Supervised Learning

Labelled Data and Prediction Models

Regression and Classification

Real-World Applications of Supervised Learning

Unsupervised Learning

Pattern Discovery and Clustering

Association Learning

Applications of Unsupervised Learning

Reinforcement Learning

Agent–Environment Interaction

Rewards and Penalties

Applications in Robotics and Game Playing

Comparison of Supervised, Unsupervised, and Reinforcement Learning

Summary and Key Takeaways

This lecture is designed for B.Tech, BCA, MCA, M.Tech, Data Science, Artificial Intelligence, and Machine Learning learners who want to build a strong foundation in ML concepts.

Instructor:
Dr. Bindeshwar Singh Kushwaha
Associate Professor (AI/ML)
Ambalika Institute of Management and Technology, Lucknow

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#MachineLearning #ArtificialIntelligence #SupervisedLearning #UnsupervisedLearning #ReinforcementLearning #DataScience #MLTutorial #AITutorial #MachineLearningTechniques #PostNetworkAcademy #DeepLearning #AI

Видео Machine Learning Techniques Lecture 1 in Hinglish - Learning and Types of Machine Learning канала PostNetwork Academy
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