"Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications"

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Book	Author(s)	Year	Publisher
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications	Chip Huyen	2022	O'Reilly Media
Designing Machine Learning Systems	Chip Huyen	2022	O'Reilly Media, Inc.
Designing Machine Learning Systems with Python	David Julian	2016	Packt Publishing
Iterative Learning Control for Deterministic Systems	Kevin L. Moore	1993	Springer London
Automated Machine Learning on AWS: Fast-track the development of your production-ready machine learning applications the AWS way	Trenton Potgieter	2022	Packt Publishing
Machine Learning Paradigms: Applications in Recommender Systems	Aristomenis S. Lampropoulos; George A. Tsihrintzis	2015	Springer International Publishing
Machine Learning for Healthcare Applications	Sachi Nandan Mohanty; G. Nalinipriya; Om Prakash Jena; Achyuth Sarkar	2021	John Wiley & Sons
Machine Learning for Robotics Applications	Monica Bianchini; Milan Simic; Ankush Ghosh; Rabindra Nath Shaw	1st ed. 2021	Springer Nature Singapore
Iterative Learning Control for Multi-agent Systems Coordination	Shiping Yang; Jian-Xin Xu; Xuefang Li; Dong Shen	2017	Wiley-IEEE Press
Iterative methods for linear systems: theory and applications	Maksim Aleksandrovich Olʹshanskiĭ	2014	Society for Industrial and Applied Mathematics
Machine Learning and IoT for Intelligent Systems and Smart Applications	P. Madhumathy; M. Vinoth Kumar; R. Umamaheswari	2021	Routledge
Real World Instructional Design: An Iterative Approach to Designing Learning Experiences	Katherine Cennamo; Debby Kalk	2018	Routledge
Designing Human-machine Cooperation Systems	Patrick Millot	2014	John Wiley & Sons
Machine Learning Methods for Ecological Applications	Alan H. Fielding	1999	Springer US
Machine Learning Algorithms for Industrial Applications	Santosh Kumar Das; Shom Prasad Das; Nilanjan Dey; Aboul-Ella Hassanien	1st ed. 2021	Springer International Publishing
Machine Learning Projects for Mobile Applications	Karthikeyan NG	2018	Packt Publishing
Machine Learning for High-Risk Applications	Patrick Hall	2021	O'Reilly Media, Inc.
Designing Inclusive Systems: Designing Inclusion for Real-world Applications	Patrick Langdon; John Clarkson; Peter Robinson; Jonathan Lazar; Ann Heylighen	2012	Springer London
Iterative Learning Control: Convergence, Robustness and Applications	Yangquan Chen; Changyun Wen	1999	Springer London
Incorporating machine learning in knowledge-based process planning systems: an explanation-based approach	Michael Shaw	1990	College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Designing Interactive Machine Learning Systems for GIS Applications	Jaelle Scheuerman; Chris J. Michael; Brad Landreneau; Dina M. Acklin; Jason L. Harman	Engineering Artificially Intelligent Systems: A Systems Engineering Approach to Realizing Synergistic Capabilities	William F. Lawless; James Llinas; Donald A. Sofge; Ranjeev Mittu	1st ed. 2021	Springer International Publishing
An Iterative Process for Introducing Active Learning		Biochemistry education: from theory to practice	American Chemical Society. Division of Chemical Education,; Austin, Rodney C.; Bussey, Timothy J.; Cortes, Kimberly Linenberger	2019	American Chemical Society
Professional Learning is an Iterative Process	Katie D. Lewis; Angela M. Novak	Empowering Gifted Educators as Change Agents: A Playbook for Equity-Driven Professional Learning	Katie D. Lewis; Angela M. Novak	2022	Routledge
Learning by design: an iterative process		Digital Games and Learning	De Sara Freitas, Paul Maharg	2011	Continuum
An iterative process		How to Write Your Literature Review (Macmillan Study Skills)	Bryan Greetham	2020	Red Globe Press
An iterative process		The achieving enterprise	William F. Christopher	1974	AMACOM
An Iterative Process		Better land husbandry: from soil conservation to holistic land management	Jon Hellin	2006	Science Publishers
1 Machine Learning Systems in Production		Designing Machine Learning Systems	Chip Huyen	2022	O'Reilly Media, Inc.
Machine Learning Applications to Power Systems	Nikolaos Hatziargyriou	Machine Learning and Its Applications: Advanced Lectures	Georgios Paliouras; Vangelis Karkaletsis; Constantine D. Spyropoulos	2001	Springer Berlin Heidelberg
Machine Learning Applications	Piero P. Bonissone	Springer Handbook of Computational Intelligence	Janusz Kacprzyk; Witold Pedrycz	2015	Springer Berlin Heidelberg
Machine Learning Applications		Machine Learning and its Applications	Peter Wlodarczak	2019	Routledge
Machine Learning Applications	Peter Wlodarczak	Machine Learning and its Applications	Peter Wlodarczak	2019	Routledge
Machine learning applications		Mastering Java Machine Learning	Kamath, Dr Uday	2017	Packt Publishing
Machine learning applications		Python Machine Learning By Example	Yuxi Liu	2020	Packt Publishing, Limited
Machine Learning Applications		Machine Learning Applications in Electromagnetics and Antenna Array Processing	Manel Martínez-ramón, Arjun Gupta, José Luis Rojo-álvarez, Christos Christodoulou	2021	Artech House
Machine Learning Applications		A First Course in Artificial Intelligence	Osondu Oguike	2021	Bentham Science Publishers
Designing Machine Learning Pipelines		Learning Spark: Lightning-Fast Data Analytics	Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee	2020	O'Reilly Media
Machine Learning for Business Applications	Leong Chan; Liliya Hogaboam; Renzhi Cao	Applied Artificial Intelligence in Business: Concepts and Cases	Leong Chan; Liliya Hogaboam; Renzhi Cao	1st ed. 2022	Springer International Publishing
Machine Learning Process		The Applied Data Science Workshop - Second Edition: Get started with the applications of data science and techniques to explore and assess data effectively	Alex Galea	2020	Packt Publishing - ebooks Account
Machine Learning Process		TensorFlow in 1 Day Make your own Neural Network	Krishna Rungta	2018	Independently Published
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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