https://drive.google.com/file/d/10D6WrCkIyUwywkdkrgwLr_aXSAyt_f6S/view?usp=sharing
In this video, we provide a ONE SHOT COMPLETE LECTURE of
๐ค MACHINE LEARNING โ UNIT 3 for AKTU B.Tech 3rd Year students.
This lecture is specially designed for:
โ
AKTU exam preparation
โ
One shot revision
โ
Easy explanation of algorithms
โ
Topics repeatedly asked in previous year exams
๐น UNIT 3 TOPICS COVERED:
โข Decision Tree Learning:
โ Decision Tree Learning Algorithm
โ Inductive Bias
โ Inductive Inference with Decision Trees
โ Entropy and Information Theory
โ Information Gain
โ ID3 Algorithm
โ Issues in Decision Tree Learning
โข Instance-Based Learning:
โ k-Nearest Neighbour (k-NN) Learning
โ Locally Weighted Regression
โ Radial Basis Function (RBF) Networks
โ Case-Based Learning
๐ This ONE SHOT lecture is:
โ Highly exam-oriented
โ Algorithm + numerical focused
โ Very important for 10โ15 mark questions
๐ฏ Suitable for B.Tech CSE / IT 3rd Year students (AKTU).
๐ฅ FREE NOTES are provided for this unit.
๐ LIKE ๐ | SHARE ๐ค | SUBSCRIBE ๐ for more AKTU-focused Machine Learning videos.
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#AKTU
#MachineLearningUnit3
#AKTUBTech
#BTech3rdYear
#OneShotRevision
#AKTUExam
#EngineeringStudents
#DecisionTree
#ID3Algorithm
#kNN
#ExamPreparation
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