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Showing results for "Machine Learning Info Sci"

Pattern Recognition and Machine Learning (Information Science and Statistics)

Pattern Recognition and Machine Learning (Information Science and Statistics)

Christopher M. Bishop
The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Information Science and Statistics)

The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Information Science and Statistics)

Reuven Y. Rubinstein
MACHINE LEARNING APPROACHES TO BIOINFORMATICS (Science, Engineering, and Biology Informatics, 4)

MACHINE LEARNING APPROACHES TO BIOINFORMATICS (Science, Engineering, and Biology Informatics, 4)

YANG ZHENG RONG
Encyclopedia of Library and Information Science: Volume 57 - Supplement 20: Artificial Intelligence and Machine Learning Approaches to Fraud ... and Information Science Encyclopedia)

Encyclopedia of Library and Information Science: Volume 57 - Supplement 20: Artificial Intelligence and Machine Learning Approaches to Fraud ... and Information Science Encyclopedia)

Allen Kent
Machine Learning and Data Mining Approaches to Climate Science: Proceedings of the 4th International Workshop on Climate Informatics

Machine Learning and Data Mining Approaches to Climate Science: Proceedings of the 4th International Workshop on Climate Informatics

Valliappa Lakshmanan
Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfalls (Health Informatics)

Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfalls (Health Informatics)

Gyorgy J. Simon
The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Information Science and Statistics)

The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Information Science and Statistics)

Reuven Y. Rubinstein
Machine Learning for Health Informatics: State-of-the-Art and Future Challenges (Lecture Notes in Computer Science Book 9605)

Machine Learning for Health Informatics: State-of-the-Art and Future Challenges (Lecture Notes in Computer Science Book 9605)

Andreas Holzinger
Computational Intelligence and Healthcare Informatics (Machine Learning in Biomedical Science and Healthcare Informatics)

Computational Intelligence and Healthcare Informatics (Machine Learning in Biomedical Science and Healthcare Informatics)

Om Prakash Jena
Computer Science: AI, Machine Learning, Systems Analysis, Design, Bioinformatics, Human-Computer Interaction, Data Science, Stats, Simulation, Information Technology Theory, Robotics & Cybernet

Computer Science: AI, Machine Learning, Systems Analysis, Design, Bioinformatics, Human-Computer Interaction, Data Science, Stats, Simulation, Information Technology Theory, Robotics & Cybernet

Jerry Ramonyai
Big Data Application: Machine Learning, Data Life Cycle, Digital Marketing, Management Science, Problem Solving, Financial Analyst, Data Analyst, Data Driven, Data Analysis, Information Tec

Big Data Application: Machine Learning, Data Life Cycle, Digital Marketing, Management Science, Problem Solving, Financial Analyst, Data Analyst, Data Driven, Data Analysis, Information Tec

Jerry Ramonyai
Handbook on Intelligent Healthcare Analytics: Knowledge Engineering with Big Data (Machine Learning in Biomedical Science and Healthcare Informatics)

Handbook on Intelligent Healthcare Analytics: Knowledge Engineering with Big Data (Machine Learning in Biomedical Science and Healthcare Informatics)

A Jaya
Data & Information Technology: AI, Machine Learning, Systems Analysis, Design, Computer Science, Bioinformatics, Human-Computer Interaction, Science, Stats, Simulation Theory, Robotics & Cybernetics.

Data & Information Technology: AI, Machine Learning, Systems Analysis, Design, Computer Science, Bioinformatics, Human-Computer Interaction, Science, Stats, Simulation Theory, Robotics & Cybernetics.

Jerry Ramonyai
Python for Data Science and Machine Learning: A Comprehensive Guide from Fundamentals to Advanced Applications (IT - Information Technology)

Python for Data Science and Machine Learning: A Comprehensive Guide from Fundamentals to Advanced Applications (IT - Information Technology)

José Neto
Game Theory for Data Science: Eliciting Truthful Information (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Game Theory for Data Science: Eliciting Truthful Information (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Boi Faltings
Information-Driven Machine Learning: Data Science as an Engineering Discipline

Information-Driven Machine Learning: Data Science as an Engineering Discipline

Gerald Friedland
Machine Learning for Cyber Security (De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences, 15)

Machine Learning for Cyber Security (De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences, 15)

Preeti Malik
Sustainable Development through Machine Learning, AI and IoT: Third International Conference, ICSD 2025, New Delhi, India, June 14–15, 2025, ... in Computer and Information Science)

Sustainable Development through Machine Learning, AI and IoT: Third International Conference, ICSD 2025, New Delhi, India, June 14–15, 2025, ... in Computer and Information Science)

Pawan Whig
Machine Learning and Principles and Practice of Knowledge Discovery in Databases (Communications in Computer and Information Science)

Machine Learning and Principles and Practice of Knowledge Discovery in Databases (Communications in Computer and Information Science)

Mattia Cerrato
PYTHON, Programmazione, machine learning, deep learning, sicurezza informatica, data science e algoritmi per il trading: 5 libri in 1 con i fondamenti di Python, include +600 esempi e +580 esercizi

PYTHON, Programmazione, machine learning, deep learning, sicurezza informatica, data science e algoritmi per il trading: 5 libri in 1 con i fondamenti di Python, include +600 esempi e +580 esercizi

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