"Machine Learning Frameworks and Device Engineering"

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Book	Author(s)	Year	Publisher
Machine Learning Engineering	Andriy Burkov	2020
Machine Learning and Systems Engineering	Sio-Iong Ao; Burghard B. Rieger; Mahyar Amouzegar	2010	Springer Netherlands
Machine Learning Engineering MEAP	Ben Wilson	2021	Simon and Schuster
Machine learning for financial engineering	Györfi, László; Ottucsak, Gyorgy; Walk, Harro	2012	Imperial College Press
Machine Learning Engineering in Action	Ben Wilson	2022	Manning Publications
Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices	Amitoj Singh; Vinay Kukreja; Taghi Javdani Gandomani	2022	Routledge
AI and Machine Learning for On-Device Development: A Programmer's Guide	Laurence Moroney	2021	O'Reilly Media, Inc.
Feature Engineering for Machine Learning and Data Analytics	Guozhu Dong; Huan Liu	2018	Routledge
Optimization and Machine Learning - Optimizationfor Machine Learning and Machine Learning for Optimization	Rachid Chelouah; Patrick Siarry	2022	John Wiley & Sons
Advances in machine learning applications in software engineering /	Zhang, Du.; Tsai, Jeffrey J.-P.	c2007.	Idea Group Pub.,
Machine Learning and Knowledge Discovery for Engineering Systems Health Management	Ashok N. Srivastava; Jiawei Han	2012	Routledge
Entrepreneurial Learning: Conceptual Frameworks and Applications	Richard Harrison; Claire M. Leitch	2008	Routledge
Ecology and design: frameworks for learning	Kristina Hill	2002	Island Press
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control	Steven L. Brunton; J. Nathan Kutz	2019-02	Cambridge University Press
Machine Learning Engineering with MLflow: Manage the end-to-end machine learning life cycle with MLflow	Natu Lauchande	2021	Packt Publishing
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
Machine Learning	Sergios Theodoridis	2015	Academic Press
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Machine Learning Frameworks and Device Engineering	Chandrasekar Vuppalapati	Democratization of Artificial Intelligence for the Future of Humanity	Chandrasekar Vuppalapati	2021	Routledge
Machine learning frameworks		F# for Machine Learning Essentials	Sudipta Mukherjee	2016	Packt Publishing
Machine Learning Frameworks		TensorFlow for Dummies	Matthew Scarpino	2018	Wiley
Machine learning frameworks and libraries		Machine Learning Theory to Applications: Theory to Applications	Seyedeh Leili Mirtaheri, Reza Shahbazian	2022	CRC Press
Machine learning tools and frameworks		Practical Machine Learning	Sunila Gollapudi	2016	Packt Publishing
Machine learning tools and frameworks		Practical machine learning: tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques /	Gollapudi, Sunila,; Laxmikanth, V.,
144 Machine learning frameworks		Introducing Data Science: Big Data, Machine Learning, and More, using Python Tools	Davy Cielen; Arno D.B. Meysman; Mohamed Ali	2016	Manning Publications
Overview Machine Learning and Deep Learning Frameworks	Volker Liermann	The Digital Journey of Banking and Insurance, Volume III: Data Storage, Data Processing and Data Analysis	Volker Liermann; Claus Stegmann	1st ed. 2021	Springer International Publishing
Automated Machine Learning: Techniques and Frameworks	Radwa Elshawi; Sherif Sakr	Big Data Management and Analytics: 9th European Summer School, eBISS 2019, Berlin, Germany, June 30 – July 5, 2019, Revised Selected Papers	Ralf-Detlef Kutsche; Esteban Zimányi	1st ed. 2020	Springer International Publishing
Machine Learning and Financial Engineering		Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification	Antonios K. Alexandridis	2014	John Wiley & Sons
Defining machine learning engineering		Data Science For Dummies	Lillian Pierson	2021	For Dummies
Machine Learning Engineering Community		Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow	Hannes Hapke, Catherine Nelson	2020	O'Reilly Media
Big Data, Machine Learning, and Deep Learning Frameworks	Tshepo Chris Nokeri	Data Science Solutions with Python: Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn	Tshepo Chris Nokeri	1st ed.	Apress
Big Data–Based Frameworks and Machine Learning	Kesana Mohana Lakshmi; Tummala Ranga Babu	Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics	Abhishek Kumar; Ashutosh Kumar Dubey; Sreenatha G. Anavatti; Pramod Singh Rathore	2022	Routledge
Machine Learning in Physics and Engineering	Stefan Kollmannsberger; Davide D’Angella; Moritz Jokeit; Leon Herrmann	Deep Learning in Computational Mechanics: An Introductory Course	Stefan Kollmannsberger; Davide D'Angella; Moritz Jokeit; Leon Herrmann	1st ed. 2021	Springer International Publishing
Working with Azure Machine Learning Using Different Machine Learning Frameworks		Azure AI Services at Scale for Cloud, Mobile, and Edge: Building Intelligent Apps with Azure Cognitive Services and Machine Learning	Simon Bisson, Mary Branscombe, Chris Hoder, Anand Raman	2022	O'Reilly Media
TFX with Other Machine Learning Frameworks		Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow	Hannes Hapke, Catherine Nelson	2020	O'Reilly Media
Large-Scale Machine/Deep Learning Frameworks	Sherif Sakr	Big Data 2. 0 Processing Systems: A Systems Overview	Sherif Sakr	2nd ed. 2020	Springer International Publishing
Machine Learning in Metabolic Engineering	Sayak Mitra	Machine Learning and IoT: A Biological Perspective	Shampa Sen; Leonid Datta; Sayak Mitra	2018	Routledge
Machine Learning for Protein Engineering	Andrew D. Marques	Handbook of Machine Learning Applications for Genomics	Sanjiban Sekhar Roy; Y.-H. Taguchi	1st ed. 2022	Springer Nature Singapore
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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