It is one of the best Machine Learning Course in Mohali. This course provides a broad introduction to machine learning, Deep Learning, data mining, and statistical pattern recognition. They offer best Machine Learning training in Bangalore as the course will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to build smart AI systems, text understanding, computer vision applications, medical informatics, audio, database mining, and other areas.

Course Content:

• Probability Theory (Recap), Linear Algebra (Recap), Convex Optimization (Recap), Introduction: Statistical Decision Theory – Regression, Statistical Decision Theory -Classification, Bias Variance, Expectations and calculus (recap)
• Linear Regression, Polynomial Basis Functions, Ridge and Lasso, Multivariate Regression, Subset Selection, Shrinkage Methods, Principal Component Regression, Partial Least squares, Bayesian Regression, Linear Classification, Logistic Regression, LDA, Naive Bayes
• SVM, Perceptron, Neural Networks – Introduction, Perceptron Learning, Neural Networks – Backpropagation, Neural Networks – Initialization, Training & Validation, Parameter Estimation, Convolutional Neural Networks, Recurrent Neural Networks, Applications in Computer Vision and NLP
• Decision Trees, Regression Tree, Decision Trees – Stopping Criterion & Pruning, Loss functions, Bootstrapping & Cross Validation, Class Evaluation Measures, ROC curve, MDL, Ensemble Methods – Bagging, Ensemble Methods – Boosting, Gradient Boosting, Random Forests, Multi-class Classification, XGBOOST
• Undirected Graphical Models, HMM, PCA, T-SNE, Hierarchical Clustering, CURE Algorithm, Density-based Clustering, Gaussian Mixture Models and Expectation-Maximization(K-means and Spectral Clustering), Learning Theory, Introduction to Reinforcement Learning) and FINAL PROJECT.