"Classification & Regression using Supervised Learning"

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Book	Author(s)	Year	Publisher
Using Classification And Regression Trees: A Practical Primer	Xin Ma	2018	Information Age Publishing
Semi-Supervised Learning	Olivier Chapelle; Bernhard Schölkopf; Alexander Zien	2006	MIT Press
Semi-Supervised Learning	Olivier Chapelle; Bernhard Scholkopf; Alexander Zien	2006	The MIT Press
Semi-supervised learning	Olivier Chapelle; Bernhard Schölkopf; Alexander Zien	2010	MIT Press
Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning	Alan J. Izenman	2008	Springer New York
Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning	Alan J. Izenman (auth.)	2008	Springer-Verlag New York
Fraud Analytics Using Supervised, Unsupervised and Social Network Learning Techniques	Bart Baesens	2015	John Wiley & Sons
Supervised Learning with Python: Concepts and Practical Implementation Using Python	Vaibhav Verdhan	1st ed.	Apress
Classification And Regression Trees	Leo Breiman	1984	Routledge
Statistical Regression and Classification: From Linear Models to Machine Learning	Norman Matloff	2017	Routledge
Regression using JMP	Rudolf J. Freund	2003	SAS Institute;J. Wiley
Supervised Learning with Quantum Computers	Maria Schuld; Francesco Petruccione	1st ed. 2018	Springer International Publishing
Introduction to Semi-Supervised Learning	Xiaojin Zhu; Andrew. B Goldberg		Springer International Publishing
Graph-Based Semi-Supervised Learning	Amarnag Subramanya; Partha Pratim Talukdar		Springer International Publishing
Introduction to semi-supervised learning	Zhu X., Goldberg A.B	2009	Morgan
Graph-Based Semi-Supervised Learning	Amarnag Subramanya, Partha Pratim Talukdar	2014	Morgan & Claypool Publishers
R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3. 5	Dr. Sunil Kumar Chinnamgari	2019	Packt Publishing
R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3. 5	Dr. Sunil Kumar Chinnamgari	2019	Packt Publishing
Interpreting and Using Regression	Christopher H. Achen	1982	SAGE Publications, Inc
Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning	Taeho Jo	1st ed. 2021	Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Classification & Regression using Supervised Learning		Artificial Intelligence with Python	Prateek Joshi	2017	Packt Publishing
Supervised Learning—Classification Using Logistic Regression		Python Machine Learning	Wei-Meng Lee	2019	John Wiley & Sons
Supervised Learning – Classification and Regression		Structural Health Monitoring - A Machine Learning Perspective	Charles R. Farrar	2012	John Wiley & Sons
Chapter 5: Classification and Regression Using Supervised Learning		Artificial Intelligence with Python: Your complete guide to building intelligent apps using Python 3. x and TensorFlow 2	Alberto Artasanchez; Prateek Joshi	2020	Packt Publishing
Chapter 2: Classification and Regression Using Supervised Learning		Artificial intelligence with Python: build real-world artificial intelligence applications with Python to intelligently interact with the world around you /	Joshi, Prateek.	2017.	Packt Publishing,
Supervised learning strategies - regression versus classification		Machine Learning for Developers	Rodolfo Bonnin	0	Packt Publishing - ebooks Account
Supervised learning strategies - regression versus classification		Machine learning for developers: uplift your regular applications with the power of statistics, analytics, and machine learning	Bonnin, Rodolfo	2017	Packt Publishing - ebooks Account
Supervised learning â€“ classification and regression		Python: Data Analytics and Visualization	Phuong Vo.T.H, Martin Czygan, Ashish Kumar, Kirthi Raman	2017	Packt Publishing
Supervised learning â€“ classification and regression		Python: End-to-end Data Analysis: Leverage the Power of Python to Clean, Scrape, Analyze, and Visualize Your Data: a Course in Three Modules	Phuong Vo. T. H; Phuong Vothihong	2016
Classification–Supervised Learning	J.S. Marron; Ian L. Dryden	Object Oriented Data Analysis	J. S. Marron; Ian L. Dryden	2021	Routledge
Bangla Topic Classification Using Supervised Learning	Md. Kowsher; Anik Tahabilder; Nusrat Jahan Prottasha; Md. Abdur-Rakib; Md. Moyez Uddin; Puspita Saha	Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2021	Asit Kumar Das; Janmenjoy Nayak; Bighnaraj Naik; Soumi Dutta; Danilo Pelusi	1st ed. 2022	Springer Nature Singapore
Email Classification Using Supervised Learning Algorithms	Akshay Bhadra; Saifuddin Hitawala; Ruchit Modi; Suraj Salunkhe	Progress in Advanced Computing and Intelligent Engineering: Proceedings of ICACIE 2016, Volume 2	Khalid Saeed; Nabendu Chaki; Bibudhendu Pati; Sambit Bakshi; Durga Prasad Mohapatra	1st ed. 2018	Springer Nature Singapore
52 Regression (Supervised Learning)		Data Analytics Made Accessible	Anil Maheshwari	2020
Supervised Learning—Linear Regression		Python Machine Learning	Wei-Meng Lee	2019	John Wiley & Sons
361 Supervised classification and regression		Neurotechnology: Methods, advances and applications (Healthcare Technologies)	Victor Hugo C. de Albuquerque (editor), Alkinoos Athanasiou (editor), Sidarta Ribeiro (editor)	2020	Institution of Engineering and Technology
Regression via Logic Supervised Classification	Vladimir Ryazanov	Pattern Recognition: 5th Mexican Conference, MCPR 2013, Queretaro, Mexico, June 26-29, 2013. Proceedings	Jesús Ariel Carrasco-Ochoa; Jose Francisco Martinez-Trinidad; Joaquin Salas Rodriguez; Gabriella Sanniti di Baja	2013	Springer Berlin Heidelberg
Supervised Learning for Classification	Hongyu Li; Wenbin Chen; I-Fan Shen	Fuzzy Systems and Knowledge Discovery: Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II	Lipo Wang; Yaochu Jin	2005	Springer Berlin Heidelberg
Supervised Machine Learning—Classification	Umesh R. Hodeghatta; Umesh Nayak	Business Analytics Using R - A Practical Approach	Umesh R Hodeghatta; Umesha Nayak	1st ed.	Apress
Supervised Learning Methods: Classification	George Fernandez	Statistical Data Mining Using SAS Applications	George Fernandez	2011	Routledge
562 Classification (Supervised Learning)		A Hands-On Introduction to Data Science	Chirag Shah	2020	Cambridge University Press
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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