Скачать или смотреть ML SUPER IMP 2025 VTU💯🤩 | BCS602 MACHINE LEARNING Model Paper Solutions + PYQs | 22 Scheme

ML SUPER IMP 2025 VTU💯🤩 | BCS602 MACHINE LEARNING Model Paper Solutions + PYQs | 22 Scheme #vtu #cse

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Never Miss the Most Expected Questions from Machine Learning. In this video, learn Trends and Patterns seen in the Previous Year VTU exam papers. Selected PYQs 🎯 With Best Shortcuts | Machine Learning | Most Expected Questions with Solutions PDF | Afnan Marquee

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⌛ Time Stamps

MODULE 1
0:00 Define Machine Learning. Explain the relationship to other fields with diagram. 🔥🔥🔥

1:48 Explain different types of machine learning with diagram 🔥🔥🔥

5:16 Describe main challenges faced in machine learning 🔥🔥🔥

6:40 Explain 6Vs of Big Data 🔥🔥🔥

7:51 Explain data preprocessing with an example 🔥🔥🔥

10:56 Explain applications of machine learning 🔥🔥🔥

MODULE 2
11:36 Define concept learning. Explain the task of concept learning 🔥🔥🔥

13:30 Explain the steps in designing a learning system 🔥🔥🔥

14:38 Design a learning system for chess 🔥🔥🔥

16:32 Describe candidate elimination algorithm 🔥🔥🔥

17:21 Write Find-S algorithm and find issues with the algorithm 🔥🔥🔥

18:36 Explain the concept of version spaces in machine learning 🔥🔥🔥

19:17 Compare key difference between Find-S and Candidate Elimination Algorithm 🔥🔥🔥

MODULE 3
20:03 Distinguish between Locally weighted, Linear regression, Multiple Linear Regression and Logistic Regression 🔥🔥🔥

21:28 Analyze Decision Tree Learning with its structure, application, advantages and disadvantages 🔥🔥🔥

23:59 Obtain ID3 decision tree learning method 🔥🔥🔥

25:13 Define Inductive Bias. Explain inductive bias in decision learning 🔥🔥🔥

26:55 Explain the concepts of Entropy and Information Gain 🔥🔥🔥

28:59 Explain KNN algo with an example 🔥🔥🔥

MODULE 4
32:00 Define Prior Probability. Explain Bayes Theorem, Hml, Hmap with an example 🔥🔥🔥

33:18 Explain Brute Force MAP learning algorithm 🔥🔥🔥

34:37 Explain MLE and MDL 🔥🔥🔥

35:39 Explain the working of Naive Bayes and provide examples of its application 🔥🔥🔥

38:25 Define perceptron. Explain single perceptron with its learning algorithm 🔥🔥🔥

MODULE 5
43:01 Analyze GRID based approach and mention the steps of CLIQUE 🔥🔥🔥

44:52 Determine characteristics, applications and challenges of Reinforcement Learning 🔥🔥🔥

46:44 Write a short note on Q-Learning 🔥🔥🔥

47:32 Explain Markov Decision Process 🔥🔥🔥

49:07 Explain the four components of reinforcement learning 🔥🔥🔥


📚 22 Scheme 6th Sem PYQs Full PLAYLIST    • 22 scheme 6th sem PYQs  

📚 22 Scheme 6th Sem Theory Subjects Full PLAYLIST    • 22 Scheme 6th sem  

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Hi! I'm Afnan, Software Engineer at Bangalore, teaching on YouTube since 2020. This Channel will help if you are preparing for VTU exams of CSE. My Aim is to help you understand concepts in logical way and use the shortcuts, tricks, trends, patterns and tips in the most elegant and conceivable way to pass the subject with flying colors!!

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