This document contains instructions for installing and using the scTGIF R package for analyzing single-cell transcriptomic data, as well as a reference to the 2018 paper "Tabula Muris" by Stephen R. Quake. It includes the licensing information for a Togo picture gallery from DBCLS.
This document contains instructions for installing and using the scTGIF R package for analyzing single-cell transcriptomic data, as well as a reference to the 2018 paper "Tabula Muris" by Stephen R. Quake. It includes the licensing information for a Togo picture gallery from DBCLS.
Amazon SageMaker is a fully managed service that enables developers and data scientists to build, train, and deploy machine learning (ML) models quickly. It provides algorithms, notebooks, APIs and scalable infrastructure for building ML models. Some key features of SageMaker include algorithms for common ML tasks, notebooks for developing models, APIs for training and deployment, and scalable infrastructure for training and hosting models. It also integrates with other AWS services like S3, EC2 and VPC.
CCSS School on Computational Social Science『計算社会科学入門』における第5章ネットワーク解説.
http://ccss.kobe-u.ac.jp/event/seminar_all/2020/202102270900.html
「計算社会科学」
https://amzn.to/3pZGt2w
Amazon SageMaker is a fully managed service that enables developers and data scientists to build, train, and deploy machine learning (ML) models quickly. It provides algorithms, notebooks, APIs and scalable infrastructure for building ML models. Some key features of SageMaker include algorithms for common ML tasks, notebooks for developing models, APIs for training and deployment, and scalable infrastructure for training and hosting models. It also integrates with other AWS services like S3, EC2 and VPC.
CCSS School on Computational Social Science『計算社会科学入門』における第5章ネットワーク解説.
http://ccss.kobe-u.ac.jp/event/seminar_all/2020/202102270900.html
「計算社会科学」
https://amzn.to/3pZGt2w
AI Wolf Contest -Development of Game AI using Collective Intelligence-Fujio Toriumi
The document describes an AI Wolf Contest that aims to develop game AI agents that can play the party game "Are You a Werewolf?". The game involves incomplete information, communication, and deception. To solve the challenges, the contest employs a collective intelligence approach using competitions. An AI Wolf platform provides a common environment for agents to connect and play games. The first Werewolf Intelligence Competition was held in 2015 with preliminary and final stages involving over a million games to evaluate the agents. Analysis found the top agents had higher success rates than lower ranked agents.