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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
Connect with PostNetwork Academy:
Website: [www.postnetwork.co](http://www.postnetwork.co)
YouTube: [www.youtube.com/@postnetworkacademy](http://www.youtube.com/@postnetworkacademy)
Facebook: [www.facebook.com/postnetworkacademy](http://www.facebook.com/postnetworkacademy)
LinkedIn: [www.linkedin.com/company/postnetworkacademy](http://www.linkedin.com/company/postnetworkacademy)
GitHub: [www.github.com/postnetworkacademy](http://www.github.com/postnetworkacademy)
#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
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
Connect with PostNetwork Academy:
Website: [www.postnetwork.co](http://www.postnetwork.co)
YouTube: [www.youtube.com/@postnetworkacademy](http://www.youtube.com/@postnetworkacademy)
Facebook: [www.facebook.com/postnetworkacademy](http://www.facebook.com/postnetworkacademy)
LinkedIn: [www.linkedin.com/company/postnetworkacademy](http://www.linkedin.com/company/postnetworkacademy)
GitHub: [www.github.com/postnetworkacademy](http://www.github.com/postnetworkacademy)
#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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4 июня 2026 г. 18:39:07
00:14:54
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