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Overview of deep learning techniques for teaching beginners, auto-encoder techniques
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Overview of deep learning for beginners, classification by the Artificial Intelligence Society, hierarchical neural networks, coders, restricted Boltzmann machines.
Clojure Clojure and Functional Programming
Clojure, a functional programming language that can be used for Artificial Intelligence (AI), Machine Learning (ML), and Digital Transformation (DX)
機械学習:Machine Learning General Machine Learning and Data Analysis
Overview of machine learning for beginners, differences between types of learning and results, no-free lunch theorem as a frame for machine learning.
python Clustering with R – k-means
Machine learning using R, unsupervised, non-hierarchical classification using k-means
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Machine learning using R, classification with hierarchical clustering function hclust
R R Language Preferences
Overview of machine learning using R, setting up the environment and handling data
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Overview of machine learning with R, history of R and introduction to reference books
機械学習:Machine Learning Protected: Bayesian Estimation and Information Theory
Bayesian estimation and information theory for artificial intelligence (AI), machine learning (ML), and natural language processing (NLP), from de Moivre's probability theory to Bayesian probability and Shannon's information engineering and tools for Bayesian estimation (STAN)
Clojure Sentence classification using liblinear and natural language processing
Classification in liblinear with Clojure, a natural language processing tool., liblinear, SVM, classification with Clojure