"Machine Learning, Regression and Optimization"

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Book	Author(s)	Year	Publisher
Optimization and Machine Learning - Optimizationfor Machine Learning and Machine Learning for Optimization	Rachid Chelouah; Patrick Siarry	2022	John Wiley & Sons
Optimization for Machine Learning	Suvrit Sra; Sebastian Nowozin; Stephen J. Wright	2011	MIT Press,
Machine Learning Control by Symbolic Regression	Askhat Diveev; Elizaveta Shmalko	1st ed. 2021	Springer International Publishing
Optimization in Machine Learning and Applications	Anand J. Kulkarni; Suresh Chandra Satapathy	1st ed. 2020	Springer Nature Singapore
Distributed Machine Learning and Gradient Optimization	Jiawei Jiang; Bin Cui; Ce Zhang	1st ed. 2022	Springer Nature Singapore
Machine Learning and Optimization Models for Optimization in Cloud	Punit Gupta; Mayank Kumar Goyal; Sudeshna Chakraborty; Ahmed A Elngar	2022	Routledge
Deep Learning in Python Prerequisites: Master Data Science and Machine Learning with Linear Regression and Logistic Regression in Python (Machine Learning in Python)	LazyProgrammer
Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient	Tanay Agrawal	1st ed.	Apress
Genetic algorithms in search,optimization,and machine learning	Goldberg, David E.	1989	Addison-Wesley Pub. Co.
Stochastic Optimization for Large-scale Machine Learning	Vinod Kumar Chauhan	2021	Routledge
Machine learning under a modern optimization lens /	Bertsimas, Dimitris,; Dunn, Jack
Statistical Regression and Classification: From Linear Models to Machine Learning	Norman Matloff	2017	Routledge
Linear Algebra and Optimization for Machine Learning: A Textbook	Charu C. Aggarwal	1st ed. 2020	Springer International Publishing
First-order and Stochastic Optimization Methods for Machine Learning	Guanghui Lan	1st ed. 2020	Springer International Publishing
Machine Learning for Solar Array Monitoring, Optimization, and Control	Sunil Rao; Sameeksha Katoch; Vivek Narayanaswamy; Gowtham Muniraju; Cihan Tepedelenlioglu; Andreas Spanias		Springer International Publishing
Accelerated Optimization for Machine Learning: First-Order Algorithms	Zhouchen Lin; Huan Li; Cong Fang	1st ed. 2020	Springer Nature Singapore
Black Box Optimization, Machine Learning, and No-Free Lunch Theorems	Panos M. Pardalos; Varvara Rasskazova; Michael N. Vrahatis	1st ed. 2021	Springer International Publishing
Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition	Gabbouj, Moncef.; Ince, Turker.; Kiranyaz, Serkan	2014	Springer Berlin Heidelberg : Imprint: Springer
Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition	Serkan Kiranyaz, Turker Ince, Moncef Gabbouj	2013	Springer
Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition	Serkan Kiranyaz, Turker Ince, Moncef Gabbouj (auth.)	2014	Springer-Verlag Berlin Heidelberg
Boook	Author(s)	Year	Publisher

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Machine Learning, Regression and Optimization	Biswa Nath Datta; Biswajit Sahoo	Data Science and SDGs: Challenges, Opportunities and Realities	Bikas Kumar Sinha; Md. Nurul Haque Mollah	1st ed. 2021	Springer Nature Singapore
Machine learning regression		Computer Programming for Beginners: 3 Books in 1: Step by Step Guide to Learn Programming, Python For Beginners, Python Machine Learning	Kevin Cooper
Machine Learning and Linear Regression	Yasha Hasija; Rajkumar Chakraborty	Hands-On Data Science for Biologists Using Python	Yasha Hasija; Rajkumar Chakraborty	2021	Routledge
Regression Machine Learning Algorithms		Build Your Own AI Investor: With Machine Learning and Python, Step by Step	Lee, Damon	2021	www.valueinvestingai.com
Regression Machine Learning Algorithms		Build Your Own AI Investor	Damon Lee	2020	www.valueinvestingai.com
Bilevel Optimization and Machine Learning	Kristin P. Bennett; Gautam Kunapuli; Jing Hu; Jong-Shi Pang	Computational Intelligence: Research Frontiers: IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, Plenary/Invited Lectures	Jacek M. Zurada; Gary G. Yen; Jun Wang	2008	Springer Berlin Heidelberg
Data Analysis with Regression Models, Advanced Regression Models, and Machine Learning through Optimization	William P. Fox	Nonlinear Optimization: Models and Applications	William P. Fox	2020	Routledge
8 Machine Learning Introduction and Regression		A Hands-On Introduction to Data Science	Chirag Shah	2020	Cambridge University Press
227 Nonparametric regression and machine learning		Regression and Other Stories	Andrew Gelman, Jennifer Hill, Aki Vehtari	2020	Cambridge University Press
Chapter 11: Machine Learning and Regression		Python Machine Learning: The Ultimate Beginner's Guide to Learn Python Machine Learning Step by Step Using Scikit-Learn and Tensorflow	Turner, Ryan	2019
Regression Algorithms in Machine Learning	Usha Sakthivel; Neha Singhal; Pethuru Raj Chelliah; Ashwini R. Malipatil	Applied Learning Algorithms for Intelligent IoT	Pethuru Raj Chelliah; Usha Sakthivel; Nagarajan Susila	2021	Routledge
2 Machine learning for regression		Machine Learning Bookcamp: Build a portfolio of real-life projects	Alexey Grigorev	2021	Manning
23 Machine learning for regression		Machine Learning Bookcamp: Build a portfolio of real-life projects	Alexey Grigorev	2021	Manning
Machine learning with logistic regression		Scikit-Learn Cookbook - Second Edition	Julian Avila; Trent Hauck	2017	Packt Publishing - ebooks Account
23 Machine learning for regression		Machine Learning Bookcamp: Build a Portfolio of Real-Life Projects	Alexey Grigorev	2020	Manning Publications
Statistical Machine Learning and Combinatorial Optimization	A. Berny	Theoretical Aspects of Evolutionary Computing	Leila Kallel; Bart Naudts; Alex Rogers	2001	Springer Berlin Heidelberg
Machine Learning and Trade Schedule Optimization	Robert L. Kissell	Algorithmic Trading Methods (Second Edition)	Robert Kissell	2020	Academic Press
CUDA for Machine Learning and Optimization		CUDA Application Design and Development	Rob Farber	2012	Morgan Kaufmann
11 - Mathematics, Optimization and Machine Learning		Mathematics for Future Computing and Communications	Liao Heng; Bill McColl	2021-12	Cambridge University Press
Machine learning training and hyperparameter optimization		Engineering MLOps: Rapidly build, test, and manage production-ready machine learning life cycles at scale	Emmanuel Raj	2021	Packt Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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