query: Machine Learning books for CS (non-statistician) grad student
positive_passages.docid: 18472
positive_passages.text: Machine learning cookbook / reference card / cheatsheet?
negative_passages.docid: 109972
negative_passages.text: Book suggestion for linear algebra "2"
negative_passages.docid: 155713
negative_passages.text: Book recommendation for analysis problems
negative_passages.docid: 119864
negative_passages.text: Books for starting with analysis
negative_passages.docid: 70425
negative_passages.text: Valid references on origins of Machine Learning, Statistical Learning and Data Mining
negative_passages.docid: 150479
negative_passages.text: Reference book for linear algebra applied to statistics?
negative_passages.docid: 149175
negative_passages.text: Book on structural equation modelling/ confirmatory factor analysis
negative_passages.docid: 106520
negative_passages.text: rigorous statistical-inference book recommendation
negative_passages.docid: 136739
negative_passages.text: Machine learning courses: maths explained
negative_passages.docid: 72950
negative_passages.text: Book recommendation for Metric Spaces
negative_passages.docid: 16764
negative_passages.text: Recommendations for statistical mechanics book
negative_passages.docid: 70151
negative_passages.text: Good references on learning how to deal with missing data/imputation
negative_passages.docid: 58202
negative_passages.text: Self-study book for dynamical systems theory?
negative_passages.docid: 21220
negative_passages.text: book recommendation for real analysis
negative_passages.docid: 116022
negative_passages.text: Books or resources for learning unified view of classical statistics?
negative_passages.docid: 637
negative_passages.text: Advanced statistics books recommendation
negative_passages.docid: 9203
negative_passages.text: probability textbooks