Machine Learning Course

Machine Learning course is offered by Baba Programmer. Our curriculum emphasizes practical experience. You’ll work on real-world projects, enabling you to apply theoretical concepts and build a strong portfolio.

At Baba Programmer, you’ll not only gain technical skills but also join a vibrant community of fellow learners and professionals. Engage in discussions, collaborate on projects, and expand your network.

Whether you're looking to change careers or enhance your skill set, Baba Programmer’s training courses will set you on the path to success.

Syllabus:

•     Introduction, linear classification, perceptron update rule
•     Perceptron convergence, generalization
•     Maximum margin classification
•     Classification errors, regularization, logistic regression
•     Linear regression, estimator bias and variance, active learning
•     Active learning (cont.), non-linear predictions, kernals
•     Kernal regression, kernels
•     Support vector machine (SVM) and kernels, kernel optimization
•     Model selection
•     Model selection criteria
•     Description length, feature selection
•     Combining classifiers, boosting
•     Boosting, margin, and complexity
•     Margin and generalization, mixture models
•     Mixtures and the expectation maximization (EM) algorithm
•     EM, regularization, clustering
•     Clustering
•     Spectral clustering, Markov models
•     Hidden Markov models (HMMs)
•     HMMs (cont.)
•     Bayesian networks
•     Learning Bayesian networks
•     Probabilistic inference