Machine Learning Course in Coimbatore
For Machine Learning Course in Coimbatore is the ability of a machine to learn by itself; the machine has the ability to perform functions with minimum or no human interference. You will learn more about this in the section, “Introduction to supervised and unsupervised Learning". . We will train your skills in a better way through our Machine Learning Training and Course in Coimbatore.
Why Choose CodeBind Technologies for Machine Learning Course in Coimbatore?
- CodeBind Technologies is ensuring to full fill your expectation than providing real time training.
- We are upgrading the latest technologies in a periodical manner and that are delivering to the students on swiftly.
- Provides Hands-on training by the experienced professionals from the reputed industries.
- Supporting the innovative ideas into establishing the real time projects in various emerging technologies.
- We are not focusing only in technical terms, moreover we are involving ourselves to provide the placement training and career development training.
Machine Learning Course in Coimbatore
Machine Learning(ML) Course Programs in Coimbatore
TRAINING DURATION: 20 days, 1 month, 2 months
- Machine Learning(ML) Program in Chennai Introduction Visualization, Data, Problems and tools, Matlab Linear Classification, Perceptron update rule Perceptron convergence Generalization, Maximum margin classification, Classification errors Regularization, Logistic regression, Linear regression estimator bias and variance, active learning Kernal regression, Support vector machine (SVM) and kernels Kernel optimization, Model selection, Model selection criteria Description length, feature selection, Combining classifiers Boosting, margin, and complexity Margin and generalization, mixture models Mixtures and the expectation maximization (EM) algorithm, Clustering Spectral clustering, Markov models Hidden Markov models (HMMs) Bayesian networks, Learning Bayesian networks Probabilistic inference, Guest lecture on collaborative filtering Current problems in machine learning, wrap up