| Call Number | Title | Publisher |
| Q325 .E24 2011eb | Physics of self-organization and evolution / Werner Ebeling and Rainer Feistel | Weinheim : Wiley-VCH 2011 |
| Q325 .T87 2013 | Knowledge needs and information extraction : towards an artificial consciousness / Nicolas Turenne | London : ISTE Hoboken, N.J. : Wiley, 2013 |
| Q325.5 | Deep learning through sparse and low-rank modeling / edited by Zhangyang Wang, Yun Fu, Thomas S. Huang | [Place of publication not identified] : Academic Press, an imprint of Elsevier, [2019] |
| Q325.5 | Advances in subsurface data analytics : traditional and physics-based machine learning / edited by Shuvajit Bhattacharya, Haibin Di | Amsterdam : Elsevier, 2022 |
| Q325.5 | Fundamentals and methods of machine and deep learning : algorithms, tools and applications / edited by Pradeep Singh | Beverly, MA : Scrivener Publishing Hoboken, NJ : Wiley, 2022 |
| Q325.5 | Machine learning algorithms and applications / edited by Mettu Srinivas, G. Sucharitha, Anjanna Matta | Hoboken : Wiley : Scrivener Publishing, 2021 |
| Q325.5 | Machine learning approaches for convergence of IoT and Blockchain / edited by Krishna Kant Singh, Akansha Singh and Sanjay Sharma | Hoboken, NJ : Wiley 2021 |
| Q325.5 | Machine learning techniques and analytics for cloud security / edited by Rajdeep Chakraborty, Anupam Ghosh and Jyotsna Kumar Mandal | Hoboken, NJ : Wiley Beverly, MA : Scrivener Publishing, [2022] |
| Q325.5 | Machine learning and big data : concepts, algorithms, tools and applications / edited by Uma N. Dulhare, Khaleel Ahmad, Khairol Amali Bin Ahmad | Hoboken, NJ : Wiley-Scrivener, 2020 |
| Q325.5 | Deep learning for data analytics : foundations, biomedical applications, and challenges / edited by Himansu Das, Chittaranjan Pradhan and Nilanjan Dey | London : Academic Press, 2020 |
| Q325.5 | Deep learning techniques for biomedical and health informatics / edited by Basant Agarwal, Valentina Emilia Balas, Lakhmi C. Jain, Ramesh Chandra Poonia, Manisha | London : Academic Press, 2020 |
| Q325.5 | Generative adversarial networks for image-to-image translation / edited by Arun Solanki, Anand Nayyar, Mohd Naved | London : Academic Press, 2021 |
| Q325.5 | Optimization and machine learning : optimization for machine learning and machine learning for optimization / coordinated by Rachid Chelouah, Patrick Siarry | London, UK : ISTE, Limited Hoboken, NJ : Wiley, 2022 |
| Q325.5 | Deep learning and parallel computing environment for bioengineering / edited by Arun Kumar Sangaiah | St. Louis, Missouri : Elsevier, 2019 |
| Q325.5 | Financial signal processing and machine learning / edited by Ali N. Akansu, Sanjeev R. Kulkarni, Dmitry Malioutov | West Sussex, United Kingdom : Wiley : IEEE Press, 2016 |
| Q325.5 | Machine learning : hands-on for developers and technical professionals / Jason Bell | Hoboken : John Wiley and Sons, 2014 |
| Q325.5 | Machine learning in Python : essential techniques for predictive analysis / Michael Bowles | Indianapolis, IN : Wiley, [2015] |
| Q325.5 | Machine Learning with Spark and Python : Essential Techniques for Predictive Analytics / Michael Bowles | Newark : Wiley, 2019 |
| Q325.5 | Adversarial robustness for machine learning models / Pin-Yu Chen | London : Academic Press, [2023] |
| Q325.5 | Introduction to deep learning and neural networks with Python / Ahmed Gad, Fatima Ezzahra Jarmouni | Amsterdam : Academic Press, 2020 |
| Q325.5 | Principles and labs for deep learning / Shih-Chia Huang and Trung-Hieu Le | London : Academic Press, 2021 |
| Q325.5 | Machine learning for time series forecasting with Python / Francesca Lazzeri | Indianapolis : Wiley, 2021 |
| Q325.5 | Intelligent data-analytics for condition monitoring : smart grid applications / Hasmat Malik, Nuzhat Fatema and Atif Iqbal | London : Academic Press, 2021 |
| Q325.5 | Machine learning for ios developers / Abhishek Mishra | [Place of publication not identified] : John Wiley And Sons, Inc, 2020 |
| Q325.5 | Machine learning in the aws cloud : add intelligence to applications with amazon sagemaker and amazon rekognition / Abhishek Mishra | San Francisco, Calif. : Sybex, 2019 |
| Q325.5 | Practical machine learning in R / Fred Nwanganga, Mike Chapple | London : ISTE, Limited 2020 |
| Q325.5 | Machine learning for risk calculations : a practitioner's view / Ignacio Ruiz, Mariano Zeron Medina Laris | Hoboken, New Jersey : Wiley, [2022] |
| Q325.5 | Machine learning in image steganalysis / Hans Georg Schaathun | Chichester, West Sussex, United Kingdom : IEEE/Wiley, 2012 |
| Q325.5 | Practical machine learning for data analysis using python / Abdulhamit Subasi | London : Academic Press, 2020 |
| Q325.5 | Thinking machines : machine learning and its hardware implementation / Shigeyuki Takano | London : Academic Press, 2021 |
| Q325.5 .H38 2009 | Knowledge discovery with support vector machines / Lutz Hamel | Hoboken, N.J. : Wiley, [2009] |
| Q325.5 .H425 2011eb | Self-adaptive systems for machine intelligence / Haibo He | Hoboken, N.J. : Wiley, [2011] |
| Q325.5 .K85 2011 | An elementary introduction to statistical learning theory / Sanjeev Kulkarni, Gilbert Harman | Hoboken, N.J. : Wiley, [2011] |
| Q325.5 .M33 2021 | Machine learning approach for cloud data analytics in IoT / edited by Sachi Nandan Mohanty, Jyotir Moy Chatterjee, Monika Mangla, Suneeta Satpathy, Sirisha Potluri | Hoboken, NJ : John Wiley and Sons, Incorporated Beverly, MA : Scrivener Publishing LLC, 2021 |
| Q325.5 .M33 2022 | Machine learning paradigm : for internet of things applications / edited by Shalli Rani, R. Maheswar, G.R. Kanagachidambaresan, Sachin Ahuja, and Deepali Gupta | Hoboken, NJ : Wiley Beverly, MA : Scrivener, 2022 |
| Q325.5 .M33 2022 | Machine learning and data science : fundamentals and applications / edited by Prateek Agrawal, Charu Gupta, Anand Sharma, Vishu Madaan and Nisheeth Joshi | Hoboken, NJ : Wiley : Beverly, MA : Scrivener Publishing, 2022 |
| Q325.5 .M33 2023 | Machine intelligence, big data analytics, and IoT in image processing : practical applications / edited by Ashok Kumar [and more] | Hoboken, NJ : Wiley Beverly, MA : Scrivener Publishing, 2023 |
| Q325.5 .M36 2001eb | Recurrent neural networks for prediction : learning algorithms, architectures, and stability / Danilo P. Mandic, Jonathon A. Chambers | Chichester New York : John Wiley, [2001] |
| Q325.5 .P69 2012 | Optimal learning / Warren B. Powell, Operations Research and Financial Engineering, Princeton University, Ilya O. Ryzhov, Robert H. Smith School of Business, University of Maryland | Hoboken, New Jersey : Wiley, [2012] |
| Q325.5 .R36 2019 | Keras to Kubernetes : the journey of a machine learning model to production / Dattaraj Jagdish Rao | Indianapolis, IN : John Wiley and Sons, [2019] |
| Q325.5 .R43 2019 | Advances in domain adaptation theory / Ievgen Redko, Amaury Habrard, Emilie Morvant, Marc Sebban, Younès Bennani | London, UK : ISTE Press Ltd Kidlington, oxford, UK : Elsevier Ltd, 2019 |
| Q325.5 .S86 2020 | Reservoir simulations : machine learning and modeling / Shuyu Sun, Tao Zhang | Cambridge, MA : Gulf Professional Publishing, [2020] |
| Q325.5 .T43 2020 | Machine learning : a Bayesian and optimization perspective / Sergios Theodoridis | London San Diego : Elsevier : Academic Press, [2020] |
| Q325.5 .W558 2022 | Informatics and machine learning : from Martingales to metaheuristics / Stephen Winters-Hilt | Hoboken, NJ : John Wiley and Sons, Incorporated, 2022 |
| Q325.5 .Y36 2019eb | Introduction to algorithms for data mining and machine learning / Xin-She Yang | London, United Kingdom San Diego, CA, United States : Academic Press, an imprint of Elsevier, [2019] |
| Q325.5 .Y83 2013eb | Modern machine learning techniques and their applications in cartoon animation research / Jun Yu, Dacheng Tao | Hoboken, New Jersey : John Wiley and Sons, Incorporated, [2013] |
| Q325.6 | Reinforcement learning and approximate dynamic programming for feedback control / edited by Frank L. Lewis, UTA Automation and Robotics Research Institute, Fort Worth, TX Derong Liu, University of Illinois, Chicago, IL | Hoboken, New Jersey : IEEE Press, [2012] |
| Q325.6 | Model-based reinforcement learning : from data to actions with Python-based toolbox / Milad Farsi, Jun Liu | [United States] : Wiley-Blackwell, 2023 |
| Q325.6 | Multi-agent machine learning : a reinforcement approach / Howard M. Schwartz | Hoboken, NJ : John Wiley and Sons, [2014] |
| Q325.6 .K85 2012 | Reinforcement and systemic machine learning for decision making / Parag Kulkarni | Hoboken : John Wiley and Sons, [2012] |
Page: