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Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver Data Mining

артикул: 2616550

$204.18

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Опис

Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver Data Mining By Shmueli, Galit Published by WILEY Publication Date: 2023-04-27 Subject: Business & Economics Education, Computers Data Science Data Analytics, Computers Data Science - Data Analytics, Technology & Engineering Electronics General, Technology & Engineering Telecommunications, Business Applications, Data Mining, Electronics & Communications Engineering, Electronics And Communications Engineering, Hc Informatik, Edv Informatik, Computers Data Science Data Analytics, Computers, Data Science, Data Analytics, Business Applications, Hc Informatik, Edv Informatik, Hc, Informatik, Edv, Informatik, Data Mining & Knowledge Discovery, Data Mining Statistics, Neural Networks, Data Mining; Data Science; Predictive Analytics; Statistical Learning; Machine Learning; Artificial Intelligence; Customer Behavioral Patterns; Prediction; Data Segmentation; Recommender Systems; Text Mining; Network Analysis; Data Visualization; Neural Networks; Predictive Modeling; Deep Learning; Reinforcement Learning; A B Testing; Responsible Data Science; Ethical Data Science; Forecasting, Data Mining; Data Science; Predictive Analytics; Statistical Learning; Machine Learning; Artificial Intelligence; Customer Behavioral Patterns; Prediction; Data Segmentation; Recommender Systems; Text Mining; Network Analysis; Data Visualization; Neural Networks; Predictive Modeling; Deep Learning; Reinforcement Learning; A, B Testing; Responsible Data Science; Ethical Data Science; Forecasting Subject Keywords: data mining; data science; predictive analytics; statistical learning; machine learning; artificial intelligence; customer behavioral patterns; prediction; data segmentation; recommender systems; text mining; network analysis; data visualization; neural networks; predictive modeling; deep learning; reinforcement learning; A/B testing; responsible data science; ethical data science, forecasting, data mining; data science; predictive analytics; statistical learning; machine learning; artificial intelligence; customer behavioral patterns; prediction; data segmentation; recommender systems; text mining; network analysis; data visualization; neural networks; predictive modeling; deep learning; reinforcement learning; A/B testing; responsible data science; ethical data science; forecasting Genre: Computers, Data Science, Data Analytics, Business Applications, Hc, Informatik, Edv, Informatik Target Audience: Professional and scholarly

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