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Unit 4 Part-1 | MACHINE LEARNING AKTU | Most Important Questions

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Unit 5 Part-1 | MACHINE LEARNING AKTU | Most Important Questions

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Lecture 5.1 | Reinforcement learning | Reinforcement learning in practice | #mlt #aktu #unit5

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Lecture 3.6 | Radial basis function network | Neural Network in machine learning | #aktu #mlt #ml

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Unit 1 Part 2 | MACHINE LEARNING | AKTU | Most Important Questions

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Unit 3 Part-1 | MACHINE LEARNING AKTU | Most Important Questions

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Lecture 5.2 | Reinforcement learning models | Q Learning | Markov Decision Process | #mlt #aktu #ml

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Lecture 5.3 | Genetic Algorithm and its Applications | Genetic Algorithm | Key Components #mlt #aktu

16:01

Lecture 4.2 | Deep Learning | Convolutional neural network | Types of Layers | Case Study #mlt #aktu

34:28

Lecture 1.5 | Reinforcement learning algorithms | Reinforcement learning | Machine Learning | #mlt

8:20

Lecture 1.16 | Issues in Machine Learning and Data Science | Machine learning techniques | #mlt #ai

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Object Oriented System Design (OOSD) & OOPS Important Questions for Exams AKTU

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mlt unit 3 | Instance Based Vs Model Based Learning | Types of Machine Learning | #mlt #aktu #imp

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Lecture 1.9 | Top 7 machine learning approaches | Machine learning techniques #machinelearning #mlt

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Lecture 3.4 | KNN Algorithm In Machine Learning | K Nearest Neighbor | Classification | #mlt #knn

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Lecture 0 | Machine Learning Course Introduction: Unlock the World of AI and Data Science | #mlt #ml

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Lecture 1.13 | Bayesian network | Bayesian Learning | Machine learning techniques #mlt #ml #bayesian

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Lecture 2.2 | Logistic Regression Explained in hindi | logistic regression | #mlt #machinelearning

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Entrepreneurship Development | Unit 1 || AKTU | Important Topics | :@agradelearning #btech #aktu

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Lecture 1.14 | Support Vector Machine (SVM) Explained | Machine learning techniques #mlt #svm #ml

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Lecture 1.2 | Types of Machine Learning Algorithms | Machine learning algorithms | Machine Learning

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Lecture 3.2 | ID3 Algorithm | Decision Tree Algorithm | Machine learning techniques #id3 #mlt #aktu

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Lecture 4.1 | Artificial neural network | Perceptron, Gradient Descent, Delta rule | #mlt #aktu #ml

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Lecture 3.7 | Case-Based Reasoning | Case-Based Learning | Machine learning techniques | #mlt #aktu

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Lecture 2.5 | Bayesian Belief Network | EM Algorithm | Expectation Maximization algorithm #aktu #mlt

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Rural development Administration and planning AKTU unit 1 important questions| part 1|KHU 701

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Indian Tradition Culture & Society Important Questions for Exams || Important Topics AKTU || KNC 602

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Lecture 1.3 | What is Supervised learning | Supervised Learning | Machine learning Techniques | #mlt

6:18

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AKTU Exam | Machine Learning Techniques| Unit wise Set of Important Questions | LS Academy

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Software Engineering Important Questions for Exams || Important Topics AKTU || KCS 601 -100% PASS

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Electrical Engineering Important Question Aktu | AKTU Electrical Eng Imp.| Imp Que Electrical Eng.

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Data Warehousing And Data Mining Important Questions aktu [UNIT-2] #Datawarehousinganddataminingaktu

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DBMS important Questions//aktu// all unit//cse wale//Database management system important questions

7:32

Lecture 3.1 | Decision Tree Learning | Inductive Bias, Entropy, Gini Impurity, Information Gain #mlt

34:45