"Metrics and Data Classification" - similar Books and Chapters

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Book	Author(s)	Year	Publisher
Multilabel Classification: Problem Analysis, Metrics and Techniques	Francisco Herrera; Francisco Charte; Antonio J. Rivera; María J. del Jesus	1st ed. 2016	Springer International Publishing
Data analysis,data modeling,and classification	Martin E. Modell	1992	McGraw-Hill
Data Science and Classification	Vladimir Batagelj; Hans-Hermann Bock; Anuška Ferligoj; Aleš Žiberna	2006	Springer Berlin Heidelberg
Classification and Data Mining	Antonio Giusti; Gunter Ritter; Maurizio Vichi	2013	Springer Berlin Heidelberg
Data Classification: Algorithms and Applications	Charu C. Aggarwal	2014	Routledge
The Metrics Manifesto: Confronting Security with Data	Richard Seiersen	2022	Wiley
Advances in Classification and Data Analysis	Simone Borra; Roberto Rocci; Maurizio Vichi; Martin Schader	2001	Springer Berlin Heidelberg
Data Analysis, Classification, and Related Methods	Henk A.L. Kiers; Jean-Paul Rasson; Patrick J.F. Groenen; Martin Schader	2000	Springer Berlin Heidelberg
The 2x2 Matrix: Contingency, Confusion and the Metrics of Binary Classification	A.J. Larner	1st ed. 2021	Springer International Publishing
Classification and Data Analysis: Theory and Applications	Krzysztof Jajuga; Jacek Batóg; Marek Walesiak	1st ed. 2020	Springer International Publishing
Data Analysis and Classification: Methods and Applications	Krzysztof Jajuga; Krzysztof Najman; Marek Walesiak	1st ed. 2021	Springer International Publishing
Data Classification and Incremental Clustering in Data Mining and Machine Learning	Sanjay Chakraborty; Sk Hafizul Islam; Debabrata Samanta	1st ed. 2022	Springer International Publishing
Using Effectiveness Data for School Improvement: Developing and Utilising Metrics	Anthony Kelly; Christopher Downey	2010	Routledge
Selected Contributions in Data Analysis and Classification	Paula Brito; Patrice Bertrand; Guy Cucumel; Francisco De Carvalho	2007	Springer Berlin Heidelberg
New Approaches in Classification and Data Analysis	Edwin Diday; Yves Lechevallier; Martin Schader; Patrice Bertrand; Bernard Burtschy	1994	Springer Berlin Heidelberg
Classification, (Big) Data Analysis and Statistical Learning	Francesco Mola; Claudio Conversano; Maurizio Vichi	1st ed. 2018	Springer International Publishing
Advanced Studies in Classification and Data Science	Tadashi Imaizumi; Akinori Okada; Sadaaki Miyamoto; Fumitake Sakaori; Yoshiro Yamamoto; Maurizio Vichi	1st ed. 2020	Springer Nature Singapore
Remotely Sensed Data Characterization, Classification, and Accuracies	Ph.D., Prasad S. Thenkabail	2015	Routledge
Library Analytics and Metrics: Using Data to Drive Decisions and Services	Ben Showers	2015-04	Facet
Classification Methods for Remotely Sensed Data	Paul Mather; Brandt Tso	2009	Routledge
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Metrics and Data Classification		Business Analytics, Global Edition	James Evans	2020	Pearson
Metrics and Data Classification		Business analytics: methods, models, and decisions	Evans, James Robert	2014;2016	Pearson
Metrics and Data Classification		Statistics, Data Analysis, and Decision Modeling	James R. Evans	2012	Pearson
Classification metrics		Mastering Scala machine learning	Kozlov, Alexander	2016	Packt Publishing
Classification Metrics		Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow	Hannes Hapke, Catherine Nelson	2020	O'Reilly Media
Classification metrics		Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines	Kirill Kolodiazhnyi	2020	Packt Publishing
Classification metrics		Hands-On Artificial Intelligence on Google Cloud Platform: Build intelligent applications powered by TensorFlow, Cloud AutoML, BigQuery, and Dialogflow	Anand Deshpande, Manish Kumar, Vikram Chaudhari	2020	Packt Publishing
Classification Metrics		The Supervised Learning Workshop: A New, Interactive Approach to Understanding Supervised Learning Algorithms, 2nd Edition	Blaine Bateman, Ashish Ranjan Jha, Benjamin Johnston, Ishita Mathur	2020	Packt Publishing
Classification metrics		Scikit-Learn Cookbook - Second Edition	Julian Avila; Trent Hauck	2017	Packt Publishing - ebooks Account
Classification metrics		Machine Learning Algorithms	Bonaccorso, Giuseppe	2017	Packt Publishing
""Classification metrics""		Machine Learning for Developers.	Bonnin, Rodolfo	2017	Packt Publishing
Classification Metrics		Machine Learning Mastery with Python	Jason Brownlee	2016
Classification metrics		Mastering predictive analytics with R: master the craft of predictive modeling by developing strategy, intuition, and a solid foundation in essential concepts	Forte, Rui Miguel	2015	Packt Publishing
Classification metrics		Machine Learning Algorithms	Giuseppe Bonaccorso	2018	Packt Publishing
Metrics and classification evaluation		Machine learning pocket reference: working with structured data in Python	Harrison, Matt	2019	O'Reilly Media
Metrics and Data	Tim Stapenhurst	The Benchmarking Book: A How-to-Guide to Best Practice for Managers and Practitioners	Tim Stapenhurst	2009	Routledge
Metrics and Data		Local planning agency management /	Feiden, Wayne,	2016.	American Planning Association,
Binary Classification Metrics		Tensorflow for Deep Learning: From Linear Regression to Reinforcement Learning	Bharath Ramsundar	2018	O'Reilly Media
Multiclass Classification Metrics		Tensorflow for Deep Learning: From Linear Regression to Reinforcement Learning	Bharath Ramsundar	2018	O'Reilly Media
Binary classification metrics		Hands-On Recommendation Systems with Python: Start Building Powerful and Personalized, Recommendation Engines with Python	Banik, Rounak	2018	Packt Publishing Ltd
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries