Assignment topic is Generative AIML TOOLS and due date is .
Dear Students the Resource Link has been uploaded for the following topics:</br>AIML
Dear Students the Puzzles has been uploaded for the following topics:</br>Galvanic Series and its importance- Types of electrochemical Corrosion, </br>AIML CROSS WORD PUZZLE, </br>CROSS WORD PUZZLE
Assignment topic is Types of Machine Learning and due date is .
Assignment topic is Content beyond syllabus and due date is .
Dear Students the Youtube Video has been uploaded for the following topics:</br>Types of Linear regression Analysis</br>Types of Supervised Learning</br>Machine Learning Introduction</br>Applications of Machine Learning</br>Machine Learning Process</br>Supervised Machine Learning</br>Types of Machine Learning</br>Applications of machine Learning</br>K means Clustering</br>Supervised ML</br>K Nearest Neighbour</br>Support vectore Machine part 1</br>Support vector machine part 2</br>Machine learning Alg</br>logistic Regression</br>Types of Logistic regression</br>Decision tree Alg
Dear Students the Question Bank has been uploaded for the following topics:</br>aiml 2 marks
Dear Students the Lecture Notes has been uploaded for the following topics:</br>Terminology-Weight Space, </br>Learning Algorithms, </br>Definition of learning systems Goals and applications of machine learning, </br>Types of Machine Learning Machine Learning Process, </br>Parametric Models- Multivariate Regression , </br>Classification: Bayesian Decision Theory parametric and non-parametric methods, </br>K-Nearest Neighbor classifier, </br>Decision Tree based methods for classification and Regression Ensemble methods, </br>Regression: Linear Regression , </br>Introduction, </br>Principal Component Analysis, </br>Clustering-K-means clustering, </br>EM algorithm, </br>Hierarchical Clustering, </br>Probabilistic PCA, </br>The Brain and The Neuron, </br>Back Propagation Dimensionality Reduction, </br>Perceptron-Training the perceptron, </br>Perceptron Learning Algorithm, </br>Neural Networks, </br>Convolutional Networks, </br>Recurrent Neural Networks, </br>Bidirectional RNNs, </br>Applications Speech Recognition, </br>Deep Recurrent Networks
Write Applications of AIML in detail
