• Suche: Machine Learning and Data Science with Python

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41

JupyterLab in Retrograde: Contextual Notifications That Highlight Fairness and Bias Issues for Data Scientists
Harrison, Galen ; Bryson, Kevin ; Bamba, Ahmad Emmanuel Balla ; et al.
Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. :1-19

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42

Workshop Proposal: PySAL : Python Spatial Analysis Library
Rey, Sergio ; Knaap, Elijah
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs. :1-2

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43

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44

Machine Learning
Sundararajan, Srikrishnan ; Chakrabarti, Amlan, Series Editor ; Sundararajan, Srikrishnan
Multivariate Analysis and Machine Learning Techniques : Feature Analysis in Data Science Using Python. :349-390

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45

Integrating data science into an econometrics course with a Kaggle competition.
Kuroki, Masanori
Journal of Economic Education. Oct-Dec2023, Vol. 54 Issue 4, p364-378. 15p. 2 Color Photographs, 6 Black and White Photographs.

Data science Econometrics Log-linear models Virtual communities Machine learning Statistical learning
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46

Multivariate Analysis and Machine Learning Techniques: Feature Analysis in Data Science Using Python
Srikrishnan Sundararajan ; Srikrishnan Sundararajan
Transactions on Computer Systems and Networks ISBN: 9789819903528

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47

JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science
Xue, Tianju ; Liao, Shuheng ; Gan, Zhengtao ; et al.
In Computer Physics Communications October 2023 291

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48

Data Analysis and Mining
Ougiaroglou, Stefanos ; Margaris, Dionisis

chi-square test constrained likelihood r... Fisher test gamma distribution uniformly most powerful... key interested frame …
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50

Large Scale Distributed Data Science using Apache Spark
Shanahan, James G. ; Dai, Laing
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. :2323-2324

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51

Classification
Sundararajan, Srikrishnan ; Chakrabarti, Amlan, Series Editor ; Sundararajan, Srikrishnan
Multivariate Analysis and Machine Learning Techniques : Feature Analysis in Data Science Using Python. :183-210

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52

Computational Techniques
Sundararajan, Srikrishnan ; Chakrabarti, Amlan, Series Editor ; Sundararajan, Srikrishnan
Multivariate Analysis and Machine Learning Techniques : Feature Analysis in Data Science Using Python. :309-347

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53

A Tutorial on Machine Learning and Data Science Tools with Python.
Marcus D. Bloice ; Andreas Holzinger
Machine Learning for Health Informatics. :435-480

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54

Identification of Fusarium sambucinum species complex by surface-enhanced Raman spectroscopy and XGBoost algorithm
Caramês, Elem T.S. ; de Moraes-Neto, Venancio F. ; Bertozzi, Bruno G. ; et al.
In Food Chemistry 15 July 2025 480

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55

Static Analysis of Data Transformations in Jupyter Notebooks
Negrini, Luca ; Shabadi, Guruprerana ; Urban, Caterina
Proceedings of the 12th ACM SIGPLAN International Workshop on the State Of the Art in Program Analysis. :8-13

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56

Introduction and Overview
Sundararajan, Srikrishnan ; Chakrabarti, Amlan, Series Editor ; Sundararajan, Srikrishnan
Multivariate Analysis and Machine Learning Techniques : Feature Analysis in Data Science Using Python. :1-27

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58

Artificial Intelligence and Deep Neural Networks
Sundararajan, Srikrishnan ; Chakrabarti, Amlan, Series Editor ; Sundararajan, Srikrishnan
Multivariate Analysis and Machine Learning Techniques : Feature Analysis in Data Science Using Python. :391-435

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59

The Materials Simulation Toolkit for Machine learning (MAST-ML): An automated open source toolkit to accelerate data-driven materials research
Jacobs, Ryan ; Mayeshiba, Tam ; Afflerbach, Ben ; et al.
In Computational Materials Science 15 April 2020 176

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60

Evaluation of Code LLMs on Geospatial Code Generation
Gramacki, Piotr ; Martins, Bruno ; Szymański, Piotr
Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery. :54-62

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