Machine Learning

	Question
1	Explain the EM Algorithm. This question has 0 answers so far.
1	Explain the classification Errors? This question has 0 answers so far.
1	What is Bayes theorem? How is it useful in a machine learning context? This question has 0 answers so far.
0	Write short notes on Value function approximation. This question has 0 answers so far.
0	Write short notes on Hidden Markov Model. This question has 0 answers so far.
0	(a)Explain the Goals of Machine learning. (b)What is the difference between linear and non linear discriminative classification. (c)Explain the brief of Bellman Equation. (d)What is bagging and boosting? (e)How is KNN different from K-means clustering? This question has 0 answers so far.
0	What is the difference between supervised learning and unsupervised learning? This question has 0 answers so far.
0	Explain the aspect of developing learning system This question has 0 answers so far.
0	What is nearest neighbor? This question has 0 answers so far.
0	What is learning system? Explain the application of machine learning? This question has 0 answers so far.
0	Explain the over fitting. This question has 0 answers so far.
0	Explain the generative probabilistic classification. This question has 0 answers so far.
0	What's the difference between generative and discriminative model? This question has 0 answers so far.
0	Explain the Ada boost Algorithm. This question has 0 answers so far.
0	What is support vector machine-Explain briefly? This question has 0 answers so far.
0	Explain the Perceptron. This question has 0 answers so far.
0	What is PCA? Find the difference between PCA and ICA? This question has 0 answers so far.
0	Explain the Hidden Markov Model (HMMs). This question has 0 answers so far.
0	What is spectral clustering. Explain briefly. This question has 0 answers so far.
0	Explain the Segmenting Indexing. This question has 0 answers so far.
0	Write short notes on (any two)- a) Linear Quadratic regulation b) Q-learning c) MDPs d) Value Function Approximation This question has 0 answers so far.
0	Discuss bagging and boosting. Write the Ada boost algorithm. This question has 0 answers so far.
0	Discuss Narve Bayes Theorem. This question has 0 answers so far.
0	What is the difference between supervised learning and unsupervised learning? This question has 0 answers so far.
0	Explain in brief logistic regression. This question has 0 answers so far.
0	What is the Independent Component Analysis? Discuss. This question has 0 answers so far.
0	What is machine learning? Discuss the issues in machine learning and the steps required for selecting right machine learning algorithm. This question has 0 answers so far.
0	What is learning? Discuss any four learning techniques. This question has 0 answers so far.
0	Explain generative learning algorithms in detail. This question has 0 answers so far.
0	Describe the limitations of the perception model. This question has 0 answers so far.
0	Explain the decision tree algorithm with example, This question has 0 answers so far.
0	What are the key tasks of machine learning? This question has 0 answers so far.
0	Discus K-means clustering with example. This question has 0 answers so far.
0	Discuss sequential covering algorithm in detail. This question has 0 answers so far.
0	What is Princinal Component Analysis? Discus its steps in detail. This question has 0 answers so far.
0	What is spectral clustering? Discuss any one spectral clustering algorithm. This question has 0 answers so far.
0	Discuss bellman equations in reinforcement learning. This question has 0 answers so far.
0	What are the key terminologies of support vector machine? This question has 0 answers so far.
0	What are classification errors? This question has 0 answers so far.
0	Write short notes on applications of Machine Learning Algorithms. This question has 0 answers so far.
0	Write short notes on temporal difference learning. This question has 0 answers so far.

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