2019.12.08(am): Types of Machine Learning

As there are various problems to be solved by machine learning, there are various types of machine learning. In the past, machine learning algorithms were largely divided into supervised learning and unsupervised learning. Recently, as reinforcement learning becomes more important, it is being divided into supervised learning, unsupervised learning, and reinforced learning. Supervised learning In …

2019.12.01(pm): Gradient descent method

This article describes the gradient descent method, one of the basic function optimization methods. The gradient descent method is one of the representative ways to apply the concept of differential to optimization problems and is to find the local minimum of a function. The gradient descent method is also called steepest descent method. Gradient descent …

2019.11.30(pm): Machine Learning – Linear Regression

Today we will look at the concept of linear regression. The dictionary meaning of regression means “return to the origin state.” The term begins with the British geneticist Francis Galton studying the laws of inheritance. In studying the relationship between parents and children’s heights, Galton surveyed and tabulated the averages of heights of fathers and …

2019.11.17(pm): CNN(Convolutional Newral Network)

CNN Fully connected Layer 1 A finite part of an array (array) format. One color photograph is three-dimensional data. Long pictures available for batch mode are 4D data. Fully Connected (FC) Neural Networks can be trained with photo data, transforming 3D photo data into 1D. Flatten your photo data. Artificial neural networks can be characterized …

2019.11.10(pm): Fine microstructure formation in steel under ultrafast heating

authors: Mitsuharu Yonemura, Hitomi Nishibata, Tomohiro Nishiura, Natsumi Ooura, Yuki Yoshimoto, Kazuki Fujiwara, Kaori Kawano, Tomoyuki Terai, Yuichi Inubushi, Ichiro Inoue, Kensuke Tono & Makina Yabashi  link: https://www.nature.com/articles/s41598-019-47668-6 abstract: In this study, phase transformation kinetics was directly evaluated using a femtosecond X-ray diffraction technique for operand measurements of the dislocation densities and carbon concentrations in Fe-0.1mass%C martensitic steel. To identify the reverse transformation mechanism from α′ to …

2019.11.03(pm): How to install Anaconda and Jupyter Notebook

Anaconda Anaconda is a development platform that gathers open source for Python-based data analysis. Anaconda’s advanced package manager allows you to get the most out of Python. Another advantage of Anaconda is that the virtual environment manager can efficiently configure the development environment for each project. Download https://www.anaconda.com/download/ If you have anaconda installed, check the …

2019.11.02(pm): Bayes’s Theorem and MLE vs MAP

Bayes’s Theorem Called Bayes’s theorem or Bayes’s rule or Bayes’ law, this is a conditional probability equation (X2: model, X1: observation) Bayesian probabilities are probability transforms that allow the posterior probability to be calculated using prior and likelihoods. Bayesian probabilities mostly occur when classification and detection problems occur in image processing. In other words, Bayesian …