アルゴリズム:Algorithms Protected: Introduction to Machine Learning with Bayesian Inference An overview of machine learning with Bayesian inference, a probabilistic generative model. 2021.05.14 アルゴリズム:Algorithms機械学習:Machine Learning確率・統計:Probability and Statistics
微分積分:Calculus Protected: Submodular Optimization and Machine Learning – Overview Overview of inferior modular optimization, which is machine learning for discrete variables used in sensor placement optimization. 2021.05.13 微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics
最適化:Optimization Protected: Causal Exploration of Statistics – Introduction Overview of methods for statistical learning of causal information, and methods for determining various causal relationships. 2021.05.12 最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics
アルゴリズム:Algorithms Sequential Pattern Mining Overview of data mining to find patterns in data delivered in sequence and introduction to the actual use of SPMF, an oven source 2021.05.11 アルゴリズム:Algorithms推論技術:inference Technology最適化:Optimization機械学習:Machine Learning
検索技術:Search Technology Juman and KNP Juman and KNP, open source Japanese natural language processing tools (morphological analysis, takedown analysis, etc.) 2021.05.10 検索技術:Search Technology自然言語処理:Natural Language Processing
機械学習:Machine Learning Protected: Machine Learning Based on Sparsity Overview An overview of efficient machine learning using sparsity, L1 norm regularization 2021.05.09 機械学習:Machine Learning
機械学習:Machine Learning Protected: Natural Language Processing with Deep Learning (1) Data Representation Model Overview of natural language processing by deep learning, one-hot vector, distributed representation 2021.05.08 機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing
微分積分:Calculus Word2Vec An overview of Wprd2Vec, an application of deep learning models to natural language processing. 2021.05.07 微分積分:Calculus最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning
最適化:Optimization Protected: Gaussian Processes and Machine Learning – Introduction Overview of Gaussian Generative Models for Machine Learning without Parameterization of Probabilistic Generative Models 2021.05.06 最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics
アルゴリズム:Algorithms Protected: Support Vector Machines – Overview Overview of SVMs (Support Vector Machines), the basis for various machine learning methods such as classification, regression, and unsupervised learning. 2021.05.05 アルゴリズム:Algorithms最適化:Optimization機械学習:Machine Learning線形代数:Linear Algebra