Books

현대의 오픈 소스 방식으로 과학자가 되는 방법에 대한 책입니다.

Książka o tym, jak być naukowcem we współczesny, otwarto-źródłowy sposób.

關於如何以現代、開源方式成為科學家的書籍。

Um livro sobre como ser um cientista à maneira moderna e de código aberto.

Ein Buch darüber, wie man auf moderne, Open-Source-Weise Wissenschaftler wird.

現代のオープンソース方式で科学者になる方法についての本。

This book explores supervised machine learning for scientific research, addressing its limitations in interpretability, causality, and uncertainty quantification. By unifying philosophical justification with practical solutions, it provides a roadmap for turning machine learning into a rigorous tool for science.

Recent advancements in causal inference have made it possible to gain profound insight about our world and the complex systems which operate in it. Industry professionals and academics in every domain ask questions of their data, but traditional statistical methods often fall short of providing conclusive answers. This is where causality can help.

Data is changing nearly everything about our world, but many people don't know where to start. This book is designed for “non-technical” people (especially students) who want a hands-on introduction to data using free or open tools.

Zaman serilerini ogrenip finans tekniklerini gormeye hazir miyiz? Bu kitap tum bu konulari isleyecek.

"Statistics By Tajamul Khan" is a groundbreaking textbook designed to demystify the world of statistics and empower readers with essential analytical skills.

Get onboard this journey into the land of streams. This is a complete hands-on book about Apache Flink, that follows real-life use cases and will help you learn how to create scalable end-to-end stream processing pipelines.