Becoming a data head : how to think, speak, and understand data science, statistics, and machine learning /
| Main Authors: | Gutman, Alex J., Goldmeier, Jordan (Author) |
|---|---|
| Corporate Author: | EBSCOhost |
| Format: | eBook |
| Language: | English |
| Published: |
Indianapolis, Indiana :
John Wiley & Sons Inc.,
[2021]
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Similar Items
Becoming a data head : how to think, speak, and understand data science, statistics, and machine learning /
by: Gutman, Alex J., et al.
Published: (2021)
by: Gutman, Alex J., et al.
Published: (2021)
Applied machine learning for data science practitioners /
by: Subramanian, Vidya, 1978-
Published: (2025)
by: Subramanian, Vidya, 1978-
Published: (2025)
Meta-analytics : consensus approaches and system patterns for data analysis /
by: Simske, Steven J.
Published: (2019)
by: Simske, Steven J.
Published: (2019)
Machine learning and data mining : introduction to principles and algorithms /
by: Kononenko, Igor, 1959-
Published: (2007)
by: Kononenko, Igor, 1959-
Published: (2007)
How one Google team built storytelling into analytics /
by: Zhu, Jiaxi
Published: (2025)
by: Zhu, Jiaxi
Published: (2025)
Multimodal learning using heterogeneous data /
Published: (2025)
Published: (2025)
Data mining and machine learning applications /
Published: (2022)
Published: (2022)
Introduction to algorithms for data mining and machine learning /
by: Yang, Xin-She
Published: (2019)
by: Yang, Xin-She
Published: (2019)
Temporal Data Mining via Unsupervised Ensemble Learning.
by: Yang, Yun (University lecturer)
Published: (2016)
by: Yang, Yun (University lecturer)
Published: (2016)
Data science projects with Python : a case study approach to gaining valuable insights from real data with machine learning /
by: Klosterman, Stephen
Published: (2021)
by: Klosterman, Stephen
Published: (2021)
Merkmalskonstruktion für Machine Learning : Prinzipien und Techniken der Datenaufbereitung /
by: Zheng, Alice, et al.
Published: (2019)
by: Zheng, Alice, et al.
Published: (2019)
Teaching data science : core learning outcomes and topics for an introductory course.
Published: (2018)
Published: (2018)
Praxiseinstieg Machine Learning mit Scikit-Learn und TensorFlow : Konzepte, Tools und Techniken für intelligente Systeme /
by: Raschka, Sebastian
Published: (2018)
by: Raschka, Sebastian
Published: (2018)
Machine learning in multimedia : unlocking the power of visual and auditory intelligence /
Published: (2025)
Published: (2025)
Introduction to machine learning with Python : a guide for data scientists /
by: Müller, Andreas C., et al.
Published: (2017)
by: Müller, Andreas C., et al.
Published: (2017)
Practical machine learning for data analysis using python /
by: Subasi, Abdulhamit
Published: (2020)
by: Subasi, Abdulhamit
Published: (2020)
Werde ein Data Head : Data Science, Machine Learning und Statisik verstehen und datenintensive Jobs meistern /
by: Gutman, Alex J., et al.
Published: (2022)
by: Gutman, Alex J., et al.
Published: (2022)
Demystifying big data, machine learning, and deep learning for healthcare analytics /
Published: (2021)
Published: (2021)
Using web scraping and machine learning to study political polarization.
Published: (2019)
Published: (2019)
Machine learning in chemistry : data-driven algorithms, learning systems, and predictions /
Published: (2019)
Published: (2019)
Hands-on machine learning with Microsoft Excel 2019 : build complete data analysis flows, from data collection to visualization /
by: Martino, Julio Cesar Rodriguez
Published: (2019)
by: Martino, Julio Cesar Rodriguez
Published: (2019)
Building an effective data science practice a framework to bootstrap and manage a successful data science practice /
by: Raina, Vineet, et al.
Published: (2022)
by: Raina, Vineet, et al.
Published: (2022)
Data mining and machine learning applications /
Published: (2022)
Published: (2022)
Big data, IoT, and machine learning : tools and applications /
Published: (2021)
Published: (2021)
Data mining : practical machine learning tools and techniques /
by: Witten, I. H. (Ian H.), et al.
Published: (2011)
by: Witten, I. H. (Ian H.), et al.
Published: (2011)
Machine learning for planetary science /
Published: (2022)
Published: (2022)
Machine learning for data mining : improve your data mining capabilities with advanced predictive modeling /
by: Salcedo, Jesus
Published: (2019)
by: Salcedo, Jesus
Published: (2019)
Machine learning and data mining : methods and applications /
Published: (1998)
Published: (1998)
Machine learning and data science : fundamentals and applications /
Published: (2022)
Published: (2022)
Machine learning for transportation research and applications /
by: Wang, Yinhai, et al.
Published: (2023)
by: Wang, Yinhai, et al.
Published: (2023)
DATA SCIENCE FOR TEAMS 20 lessons from the fieldwork.
by: GEORGIOU, HARRIS
Published: (2026)
by: GEORGIOU, HARRIS
Published: (2026)
Machine Learning mit Python und Scikit-learn und TensorFlow : das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics /
by: Raschka, Sebastian, et al.
Published: (2018)
by: Raschka, Sebastian, et al.
Published: (2018)
Supervised machine learning in wind forecasting and ramp event prediction /
by: Dhiman, Harsh S., et al.
Published: (2020)
by: Dhiman, Harsh S., et al.
Published: (2020)
Handbook of hydroinformatics.
Published: (2022)
Published: (2022)
Jing tong ji qi xue xi : shi yong Python = Introduction to machine learning with Python /
by: Müller, Andreas C., et al.
Published: (2017)
by: Müller, Andreas C., et al.
Published: (2017)
Computational advertising : 19th International Workshop, AdKDD 2025, Toronto, ON, Canada, August 4, 2025, Proceedings /
Published: (2026)
Published: (2026)
Big Data, Data Mining and Data Science : algorithms, infrastructures, management and security /
Published: (2024)
Published: (2024)
Applied machine learning on sensing technologies /
Published: (2025)
Published: (2025)
Advances in subsurface data analytics : traditional and physics-based machine learning /
Published: (2022)
Published: (2022)
Metalearning : Applications to Automated Machine Learning and Data Mining /
by: Brazdil, Pavel, et al.
Published: (2022)
by: Brazdil, Pavel, et al.
Published: (2022)