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Fundamentals of Machine Learning for Predictive Data Analytics

introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics;

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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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Data Analytics in Biomedical Engineering and Healthcare

medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data;

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Healthcare Analytics Made Simple

them to gain better insight from this data in order to improve healthcare outcomes. This book is a complete overview of machine learning for;

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Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition

Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data;

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Big Data: A Guide to Big Data Trends, Artificial Intelligence, Machine Learning, Predictive Analytics, Internet of Things, Data

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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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TensorFlow

reinforcement learning with TensorFlow. This book will teach you predictive analytics for high-dimensional and sequence data. In particular, you will;

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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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Predictive Analytics

Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine;

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Predictive Analytics for Marketers

, machine learning and artificial intelligence, to analyse current data and make predictions about unknown future events. In business terms, this;

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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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Data Science Solutions with Python

learning is unpacked. This book is for intermediate-level data scientists and machine learning engineers who want to learn how to apply key;

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Fundamentals of Predictive Analytics with JMP, Second Edition

Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions;

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Fundamentals of Predictive Analytics with JMP, Second Edition

Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions;

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

business solutions. It also walks you through how to build powerful machine learning models using Azure Data Lake, Databricks, Azure Synapse;

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Business Analytics, Volume II

, data mining, and an introduction to recent applications of predictive analytics-machine learning, neural networks, and artificial intelligence;

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Big Data Analytics

This book constitutes the refereed proceedings of the 7th International Conference on Big Data analytics, BDA 2019, held in Ahmedabad;

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Big Data Analytics

This book constitutes the refereed proceedings of the 6th International Conference on Big Data analytics, BDA 2018, held in Warangal, India;

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Context-Aware Machine Learning and Mobile Data Analytics

system is high, the automation in discovering rules from contextual raw data can make this book more impactful for the application developers as;

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Predictive Marketing

immediately. The marketing paradigm is changing, and this book provides a blueprint for navigating the transition from creative- to data-driven;

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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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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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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, Big Data, and IoT for Medical Informatics

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics;

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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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Fundamentals of Data Analytics

data science is used for classification as well as supervised and unsupervised learning.;

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