
Автор: Ganapathi Pulipaka
Издательство: Xlibris US
Год: 2021
Страниц: 568
Язык: английский
Формат: epub
Размер: 20.6 MB
The simple models of supervised Machine Learning with Gaussian Naïve Bayes, Naïve Bayes, decision trees, classification rule learners, linear regression, logistic regression, local polynomial regression, regression trees, model trees, K-nearest neighbors, and support vector machines lay a more excellent foundation for statistics. A Greater Foundation of Machine Learning Engineering covers a broad range of classical linear algebra and calculus with program implementations in PyTorch, TensorFlow, R, and Python with in-depth coverage. Though the book title suggests Machine Learning, there are several implementations of deep learning algorithms, including deep reinforcement learning.