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Machine Learning and Data Mining for Sports Analytics

This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Machine Learning and Data Mining for;

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Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, Mlsa 2018, Co-Located with Ecml/Pkdd 2018, Dublin, Ireland, Septemb

This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for;

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Machine Learning and Knowledge Discovery in Databases

Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019; Workshop on Decentralized;

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Machine Learning and Big Data Analytics Paradigms

many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for;

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Machine Learning and Knowledge Discovery in Databases: International Workshops of Ecml Pkdd 2019, Würzburg, Germany, September 16-20, 2019, Proceeding

Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019; Workshop on Decentralized;

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Data Science

, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing;

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Data Analytics, Computational Statistics, and Operations Research for Engineers

, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications;

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Data Mining and Machine Learning

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze;

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Big Data, Data Mining, And Machine Learning

process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and;

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the;

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical;

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical;

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Healthcare Data Analytics and Management

of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the;

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Meta-Analytics

Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use;

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Machine Learning in Cognitive IoT

). Machine learning is explored by covering all the technical issues and various models used for data analytics during decision making at different;

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Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for;

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Data Mining for Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts;

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Big Data Analytics

and agricultural domains; graph analytics; pattern mining; and machine learning.;

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Effective Amazon Machine Learning

learning on the cloud Who This Book Is For This book is intended for data scientists and managers of predictive analytics projects; it will;

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Feature Engineering for Machine Learning and Data Analytics

courses on feature engineering, or as a supplement for courses on machine learning, data mining, and big data analytics.;

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Feature Engineering for Machine Learning and Data Analytics

as a supplement for courses on machine learning, data mining, and big data analytics.;

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Big Data Analytics

and frameworks; predictive analytics in healthcare and agricultural domains; and machine learning and pattern mining.;

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Trends and Applications in Knowledge Discovery and Data Mining

Techniques, BDM; Machine Learning for Sensory Data Analysis, MLSDA; Predictive Analytics for Critical Care, PACC; as well as Data Mining in Business;

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Machine Learning and Data Mining in Aerospace Technology

This book explores the main concepts, algorithms, and techniques of Machine Learning and data mining for aerospace technology. Satellites;

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Data Mining for Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and;

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Data Mining and Machine Learning in Cybersecurity

With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role;

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Machine Learning Techniques for Improved Business Analytics

of interpretation is important in improving data preparation, analysis, and implementation processes in business organizations. Machine Learning;

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