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Machine Learning Techniques for Improved Business Analytics

Techniques for Improved Business Analytics is a collection of innovative research on the methods and applications of artificial intelligence;

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Machine Learning Techniques for Improved Business Analytics

Techniques for Improved Business Analytics is a collection of innovative research on the methods and applications of artificial intelligence;

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Machine Learning with Dynamics 365 and Power Platform: The Ultimate Guide to Apply Predictive Analytics

adopting machine learning techniques will redefine the future of your ERP/CRM system Perfect for Technical Consultants, software developers;

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Applied Analytics through Case Studies Using SAS and R

understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data;

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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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Recent Developments in Machine Learning and Data Analytics

This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes;

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Analytics, Data Science, & Artificial Intelligence

For courses in decision support systems, computerised decision-making tools, and management support systems. Market-leading guide to;

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Oracle Business Intelligence with Machine Learning

Enterprise, Spatial Maps, and machine learning for advanced visualization and analytics. The machine learning material focuses on learning;

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Practical Machine Learning in R

XGBoost Practical Machine Learning in R is a must-have guide for business analysts, data scientists, and other professionals interested;

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An Introduction to Business Analytics

exercises included, you will be equipped with an understanding of BA, while learning R, a popular tool for statistics and machine learning.;

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Foundations of Data Science for Engineering Problem Solving

intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial;

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Foundations of Data Science for Engineering Problem Solving

intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial;

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New Age Analytics

, explores the importance of tools and techniques used in machine learning, big data mining, and more. The book explains how advancements in the;

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Utilizing Educational Data Mining Techniques for Improved Learning

Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities is a critical scholarly resource that explores data;

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Utilizing Educational Data Mining Techniques for Improved Learning

Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities is a critical scholarly resource that explores data;

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Predictive Analytics for Marketers

Predictive analytics has revolutionized marketing practice. It involves using many techniques from data mining, statistics, modelling;

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Fundamentals of Machine Learning for Predictive Data Analytics

solid basis for exploring the field on their own. Both early chapters and later case studies illustrate how the process of learning predictive;

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Artificial Intelligence for Business

. Chapter 2 presents core machine learning workflow and the most effective machine learning techniques. Chapter 3 deals with deep learning, a;

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Applications of Machine Learning in Big-Data Analytics and Cloud Computing

of Machine Learning techniques that show enormous potential for solving complex business problems. Deep Learning enables computers to analyze large;

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Advanced Data Analytics Using Python

, regularization techniques, and algorithmic design patterns in data analytics with reinforcement learning. Finally, the recommender system in PySpark;

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Advanced Data Analytics Using Python

, regularization techniques, and algorithmic design patterns in data analytics with reinforcement learning. Finally, the recommender system in PySpark;

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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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Data Science for Marketing Analytics

Use various unsupervised learning algorithms for customer segmentation Use supervised learning techniques for sales prediction Evaluate and;

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Business Analytics

foundational understanding of: 1. statistical, econometric, and machine learning techniques; 2. data handling capabilities; 3;

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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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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization;

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Recent Developments in Data Science and Business Analytics

knowledge or insights from data. Data science and business analytics employ techniques and theories drawn from many fields including signal;

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