This chapter addresses the role that data‐driven approaches, especially machine learning
methods, are expected to play in materials research in the immediate future. Machine …

Data-to-knowledge ideas are beginning to show enormous promise within materials
science. Indeed, the concept of rationally designing materials through the effective use of …

Data-to-knowledge ideas are beginning to show enormous promise within materials
science. Indeed, the concept of rationally designing materials through the effective use of …

Andreas Müller Page 1 Supervised learning SUPERVISED LEARNING WITH SCIKIT-LEARN
Andreas Müller Core developer, scikit-learn Page 2 SUPERVISED LEARNING WITH SCIKIT-LEARN …

Machine Learning in Materials Science | CiNii Research CiNii 国立情報学研究所 学術情報
ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす 大学図書館の本を …

I would like to thank my co-authors and editors, as well as Hariharan Iyer and David LaVan
at NIST, for their valuable comments and assistance in editing this text. I would also like to …

Data‐to‐knowledge ideas are beginning to show enormous promise within materials
science. Indeed, the concept of rationally designing materials through the effective use of …

Andreas Müller Page 1 Supervised learning SUPERVISED LEARNING WITH SCIKIT-LEARN
Andreas Müller Core developer, scikit-learn Page 2 SUPERVISED LEARNING WITH SCIKIT-LEARN …

Data-to-knowledge ideas are beginning to show enormous promise within materials
science. Indeed, the concept of rationally designing materials through the effective use of …

Data‐to‐knowledge ideas are beginning to show enormous promise within materials
science. Indeed, the concept of rationally designing materials through the effective use of …