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. 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 アルゴリズム:Algorithms推論技術:inference Technology最適化:Optimization機械学習:Machine Learning
微分積分:Calculus Word2Vec An overview of Wprd2Vec, an application of deep learning models to natural language processing. 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 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. アルゴリズム:Algorithms最適化:Optimization機械学習:Machine Learning線形代数:Linear Algebra
幾何学:Geometry Fundamentals of Computer Mathematics Overview of computer mathematics as a basis for artificial intelligence and machine learning techniques, functions, sets, probability, simultaneous equations, differentiation, and integration. 幾何学:Geometry微分積分:Calculus数理論理学:Mathematical logic最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra集合論:Set theory