The document provides an introduction and background about the speaker, Kenichi Matsui. It discusses his career experience working for several large companies in software development, communications, and consulting. It then covers some of his current responsibilities related to data analysis and machine learning as a data scientist and group manager. Specific topics covered include an overview of data science skills and roles, machine learning techniques like classification and regression, and data analysis competitions.
The document discusses ecological niche modeling (ENM), which estimates the niche of a species based on known occurrence locations and environmental data using machine learning techniques. It describes two main algorithms for ENM: genetic algorithm for rule-set production (GARP) and maximum entropy modeling. GARP uses a genetic algorithm approach while maximum entropy modeling selects a probability distribution with maximum entropy subject to environmental constraints derived from occurrence data. The document provides examples of applying these methods to model the niche of Sitka willow in North America.
The document provides an introduction and background about the speaker, Kenichi Matsui. It discusses his career experience working for several large companies in software development, communications, and consulting. It then covers some of his current responsibilities related to data analysis and machine learning as a data scientist and group manager. Specific topics covered include an overview of data science skills and roles, machine learning techniques like classification and regression, and data analysis competitions.
The document discusses ecological niche modeling (ENM), which estimates the niche of a species based on known occurrence locations and environmental data using machine learning techniques. It describes two main algorithms for ENM: genetic algorithm for rule-set production (GARP) and maximum entropy modeling. GARP uses a genetic algorithm approach while maximum entropy modeling selects a probability distribution with maximum entropy subject to environmental constraints derived from occurrence data. The document provides examples of applying these methods to model the niche of Sitka willow in North America.
The document provides an overview of the POSTECH Library's resources and services. It summarizes the library spaces including study areas on different floors, collaboration areas that require booking, and other spaces. It also outlines the library's research materials including books, e-books, journals, databases, and DVDs. Finally, it describes services such as how to search and locate items, borrow and return policies, requesting unavailable articles, and getting assistance from a librarian.
CAS SciFinder Discovery Platform Quick Reference Guide_2023(EN)POSTECH Library
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This document provides a quick reference guide for using CAS SciFindern, outlining its key search and results features. It describes how to search for substances, references, reactions, sequences, and suppliers. It also explains how to view detailed results, save searches and alerts, visualize results using Chemscape and Bioscape, and access help resources. The guide is intended to help new users understand the basic functions of CAS SciFindern.
Knovel is an online technical reference tool that provides engineers with trusted content such as handbooks, databases, manuals, and interactive tools to solve engineering problems. Users can search across Knovel's content, use interactive graphs and tables to find material property data, and save, organize, and share content with colleagues by creating a free account. Knovel aims to help engineers enhance productivity, reduce costs and time, and build expertise.
This document provides instructions for using the Reading List tool in the PLMS course management system. The Reading List tool allows instructors to create customized reading lists for their courses that provide students with convenient access to required course materials. Instructors can add materials to reading lists from the library catalog, web pages, files, or manually. Reading lists can then be published for students and statistics on student usage of materials can be viewed. The tool aims to improve access to course resources for students and provide the library with information to better support courses.