100% Off Coupon - Mathematics & Statistics of Machine Learning & Data Science

What you’ll learn

Mathematics and Statistics behind Machine Learning
Mathematics and Statistics behind Neural Networks
Mathematics and Statistics behind Deep Learning
Probably Approximately Correct (PAC) Learning
Vapnik-Chervonenkis (VC) Dimension
Bayesian Decision Theory
Parametric Methods
Bernoulli Density
Tuning Model Complexity
Gaussian (Normal) Density
Multivariate Methods
Multivariate Normal Distribution
Tuning Complexity
Dimensionality Reduction
Linear Discriminant Analysis
Clustering
Expectation-Maximization Algorithm
Supervised Learning after Clustering
k-Means Clustering
Nonparametric Density Estimation
Kernel Estimator
k-Nearest Neighbor Estimator
Condensed Nearest Neighbor
Pruning
Multivariate Trees
Learning Vector Quantization
v-SVM
Multiclass Kernel Machines
Model Selection in HMM

Who this course is for:

People who want to start their career in Machine Learning
People who want to learn Machine Learning
People who want to learn Deep Learning

How to Enroll Mathematics & Statistics of Machine Learning & Data Science course?

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