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?
How many members can access this course with a coupon?
Mathematics & Statistics of Machine Learning & Data Science Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!
