"Sharing Student Models That Use Machine Learning"

entries per page

Filter:

Showing 1 to 20 of 100 entries

Book	Author(s)	Year	Publisher
Hardware-Aware Probabilistic Machine Learning Models: Learning, Inference and Use Cases	Laura Isabel Galindez Olascoaga; Wannes Meert; Marian Verhelst	1st ed. 2021	Springer International Publishing
Computational Trust Models and Machine Learning	Xin Liu; Anwitaman Datta; Ee-Peng Lim	2014	Routledge
Practical MLOps: Operationalizing Machine Learning Models	Noah Gift, Alfredo Deza	2021	O'Reilly Media
Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient	Tanay Agrawal	1st ed.	Apress
Applied Supervised Learning with R: Use machine learning libraries of R to build models that solve business problems and predict future trends	Karthik Ramasubramanian, Jojo Moolayil	2019	Packt Publishing
Machine Learning Systems: Designs That Scale	Jeff Smith	2017	Manning Publications
Graphical Models for Machine Learning and Digital Communication	Brendan J. Frey	1998	MIT Press
Graphical Models for Machine Learning and Digital Communication	Brendan J. Frey	1998	MIT Press,
Learn PySpark: Build Python-based Machine Learning and Deep Learning Models	Pramod Singh	1st ed.	Apress
Models of Teaching: Connecting Student Learning With Standards	Jeanine M. Dell'; Olio; Tony Donk	February 2007	SAGE Publications, Inc
Models of teaching: connecting student learning with standards	Jeanine M. Dell'Olio; Tony Donk	2007	Sage Publications
Machine Learning Automation with TPOT: Build, validate, and deploy fully automated machine learning models with Python	Dario Radečić	2021	Packt Publishing
Data-Driven Computational Neuroscience: Machine Learning and Statistical Models	Concha Bielza; Pedro Larrañaga	2020-11	Cambridge University Press
Machine Learning and Optimization Models for Optimization in Cloud	Punit Gupta; Mayank Kumar Goyal; Sudeshna Chakraborty; Ahmed A Elngar	2022	Routledge
Machine learning methods for commonsense reasoning processes: interactive models	Xenia Naidenova	2010	Information Science Reference
MACHINE LEARNING WITH PYTORCH AND SCIKIT-LEARN: develop machine learning and deep learning. . . models with scikit-learn and pytorch.	SEBASTIAN LIU YUXI (HAYDEN) MIRJALILI VAHID RASCHKA	2022	PACKT PUBLISHING LIMITED
Machine Learning	Ethem Alpaydin	2021	MIT Press
Machine Learning	Zhi-Hua Zhou	1st ed. 2021	Springer Nature Singapore
Machine Learning	Andrea Mechelli andSandra Vieira	2019	Academic Press
Machine Learning	Marco Gori	2018	Morgan Kaufmann
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

entries per page

Filter:

Showing 1 to 20 of 100 entries

Chapter	Author(s)	Book	Book Authors	Year	Publisher
Sharing Student Models That Use Machine Learning	Benjamin Valdes; Carlos Ramirez; Jorge Ramirez	Artificial Intelligence in Education: 17th International Conference, AIED 2015, Madrid, Spain, June 22-26, 2015. Proceedings	Cristina Conati; Neil Heffernan; Antonija Mitrovic; M. Felisa Verdejo	2015	Springer International Publishing
Towards Sharing Student Models Across Learning Systems	Ryan S. Baker; Bruce M. McLaren; Stephen Hutt; J. Elizabeth Richey; Elizabeth Rowe; Ma. Victoria Almeda et al.	Artificial Intelligence in Education: 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14–18, 2021, Proceedings, Part II	Ido Roll; Danielle McNamara; Sergey Sosnovsky; Rose Luckin; Vania Dimitrova	1st ed. 2021	Springer International Publishing
Machine Learning Approaches for Inducing Student Models	Oriana Licchelli; Teresa M. A. Basile; Nicola Di Mauro; Floriana Esposito; Giovanni Semeraro; Stefano Ferilli	Innovations in Applied Artificial Intelligence: 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004, Ottawa, Canada, May 17-20, 2004. Proceedings	Bob Orchard; Chunsheng Yang; Ali Moonis	2004	Springer Berlin Heidelberg
Machine Learning Models		Internet of Energy for Smart Cities: Machine Learning Models and Techniques	Anish Jindal; Neeraj Kumar; Gagangeet Singh Aujla	2021	Routledge
Machine learning models		Machine Learning Theory to Applications: Theory to Applications	Seyedeh Leili Mirtaheri, Reza Shahbazian	2022	CRC Press
Machine learning models		IoT and Edge Computing for Architects: Implementing edge and IoT systems from sensors to clouds with communication systems, analytics, and security, 2nd Edition	Perry Lea	2020	Packt Publishing
Machine Learning Models	Guanghui Lan	First-order and Stochastic Optimization Methods for Machine Learning	Guanghui Lan	1st ed. 2020	Springer International Publishing
Machine Learning Models	Jacques Savoy	Machine Learning Methods for Stylometry: Authorship Attribution and Author Profiling	Jacques Savoy	1st ed. 2020	Springer International Publishing
Models of Student Learning	John L. Wilson	Student Learning in Higher Education: A Halsted Press Book	John L. Wilson	1981	Routledge
Different Machine Learning Models	Neeraj Kumar; Aaisha Makkar	Machine Learning in Cognitive IoT	Neeraj Kumar; Aaisha Makkar	2020	Routledge
Anonymizing Machine Learning Models	Abigail Goldsteen; Gilad Ezov; Ron Shmelkin; Micha Moffie; Ariel Farkash	Data Privacy Management, Cryptocurrencies and Blockchain Technology: ESORICS 2021 International Workshops, DPM 2021 and CBT 2021, Darmstadt, Germany, October 8, 2021, Revised Selected Papers	Joaquin Garcia-Alfaro; Jose Luis Muñoz-Tapia; Guillermo Navarro-Arribas; Miguel Soriano	1st ed. 2022	Springer International Publishing
3 - Machine Learning Models		Machine Learning for Speaker Recognition	Man-Wai Mak; Jen-Tzung Chien	2020-11	Cambridge University Press
Managing machine learning models		Distributed Data Systems with Azure Databricks: Create, deploy, and manage enterprise data pipelines	Alan Bernardo Palacio	2021	Packt Publishing
Interpret Machine Learning Models		Matlab. Statistics and Machine Learning Toolbox. User's Guide		2021	MathWorks
Testing Machine Learning Models		Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow	Hannes Hapke, Catherine Nelson	2020	O'Reilly Media
Machine learning-based models		Hands-On Simulation Modeling with Python: Develop simulation models to get accurate results and enhance decision-making processes	Giuseppe Ciaburro	2020	Packt Publishing
Evaluating machine learning models		Deep learning with PyTorch: a practical approach to building neural network models using PyTorch	Subramanian, Vishnu	2018	Packt Publishing
Testing machine learning models		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
Evaluating machine learning models		Deep Learning with PyTorch	Vishnu Subramanian	2018	Packt Publishing
Newer machine learning models		Natural Language Processing with TensorFlow: Teach Language to Machines Using Python's Deep Learning Library	Thushan Ganegedara	2018	Packt Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

"Sharing Student Models That Use Machine Learning" - similar Books and Chapters