Machine learning : an integrated framework and its applications /

Why machines learn : the elegant math behind modern AI /
by: Ananthaswamy, Anil
Published: (2024)

Machine learning : an artificial intelligence approach /
Published: (1983)

Multi-objective machine learning /
Published: (2006)

Handbook of machine learning.
by: Marwala, Tshilidzi, 1971-
Published: (2019)

Adversarial Machine Learning Mechanisms, Vulnerabilities, and Strategies for Trustworthy AI /
by: Edwards, Jason
Published: (2026)

Hands-on Machine Learning with Python : Implement Neural Network Solutions with Scikit-learn and PyTorch /
by: Pajankar, Ashwin, et al.
Published: (2022)

AI and machine learning for coders : a programmer's guide to artificial intelligence /
by: Moroney, Laurence
Published: (2023)

Machine learning methods for planning /
Published: (1993)

Introduction to machine learning /
by: Kodratoff, Yves
Published: (1988)

Machine learning of inductive bias /
by: Utgoff, Paul E., 1951-
Published: (1986)

Machine learning for high-risk applications : approaches to responsible AI /
by: Hall, Patrick, et al.
Published: (2023)

MACHINE LEARNING FUNDAMENTALS concepts, models, and applications.
by: SAHAY, AMAR
Published: (2025)

MASTERING THE MINDS OF MACHINES a journey into deep learning and AI.
Published: (2025)

Deep Reinforcement Learning /
by: Plaat, Aske
Published: (2022)

Machine Learning : The Basics /
by: Jung, Alexander
Published: (2022)

Computational models of learning /
Published: (1987)

Machines that learn : based on the principles of empirical control /
by: Brown, Robert Alan, 1938-
Published: (1994)

Applied machine learning and AI for engineers : solve business problems that can't be solved algorithmically /
by: Prosise, Jeff
Published: (2023)

Applications of learning & planning methods /
Published: (1991)

Machine Learning with Python : Theory and Implementation /
by: Zollanvari, Amin
Published: (2023)

Optimization for machine learning /
Published: (2012)

Real-world machine learning projects with Scikit-Learn /
Published: (2018)

Artificial intelligence : machine learning, convolutional neural networks and large language models /
Published: (2024)

Explainable deep learning AI : methods and challenges /
Published: (2023)

Machine learning evaluation : towards reliable and responsible AI /
by: Japkowicz, Nathalie, et al.
Published: (2025)

Machine Learning for Auditors : Automating Fraud Investigations Through Artificial Intelligence /
by: Sekar, Maris
Published: (2022)

Machine learning in non-stationary environments : introduction to covariate shift adaptation /
by: Sugiyama, Masashi, 1974-
Published: (2012)

Self-adaptive systems for machine intelligence /
by: He, Haibo, 1976-
Published: (2011)

Distributed artificial intelligence meets machine learning : learning in multi-agent environments : ECAI '96 Workshop LDAIS, Budapest, Hungary, August 13, 1996, ICMAS '96 Workshop LIOME, Kyoto, Japan, December 10, 1996, selected papers /
Published: (1997)

Explainable deep learning AI : methods and challenges /
Published: (2023)

Thinking Data Science : A Data Science Practitioner's Guide /
by: Sarang, Poornachandra
Published: (2023)

Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems : Prediction Models Exploiting Well-Log Information.
by: Wood, David A. (Petroleum engineer)
Published: (2025)

Learning automata : theory and applications /
by: Najim, K.
Published: (1994)

Machine learning : from theory to applications : cooperative research at Siemens and MIT /
Published: (1993)

Adversarial learning and secure AI /
by: Miller, David J.
Published: (2023)

Machine learning : from theory to applications : cooperative research at Siemens and MIT /
Published: (1993)