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Feature Engineering for Machine Learning and Data Analytics

depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive;

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Feature Engineering for Machine Learning and Data Analytics

depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive;

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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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Deep Learning for Data Analytics

of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications;

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

This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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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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Learning Spark

Data is getting bigger, arriving faster, and coming in varied formats-and it all needs to be processed at scale for analytics or machine;

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Engineering Analytics

Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning;

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Advanced Data Analytics Using Python

learning Use cloud platforms like GCP and AWS in data analytics Understand Covers design patterns in Python Who This Book Is For Data;

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Advanced Data Analytics Using Python

learning Use cloud platforms like GCP and AWS in data analytics Understand Covers design patterns in Python Who This Book Is For Data scientists;

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

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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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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Hands-On Automated Machine Learning

Automate data and model pipelines for faster machine learning applications Key Features Build automated modules for different machine;

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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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Python Feature Engineering Cookbook

this book is forThis book is for machine learning professionals, AI engineers, data scientists, and NLP and reinforcement learning engineers;

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Machine Learning with the Elastic Stack

data. As you progress through the chapters, you'll deploy machine learning within Elastic Stack for logging, security, and metrics. Finally;

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AI and Machine Learning Paradigms for Health Monitoring System

toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data;

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The Art of Feature Engineering

When machine learning engineers work with data sets, they may find the results aren't as good as they need. Instead of improving the model;

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Mastering Azure Machine Learning

choose the right Azure service for different ML tasks. It then focuses on Azure Machine Learning and takes you through the process of data;

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Official Google Cloud Certified Professional Data Engineer Study Guide

Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Google Cloud Certified Professional Data;

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Data Analytics in Bioinformatics

learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are;

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Machine Learning with PySpark

building an optimal fit model Who This Book Is For Data science and machine learning professionals.;

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Big-Data Analytics for Cloud, IoT and Cognitive Computing

analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data;

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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science

machine learning models, which in turn causes better prediction and analysis of results. Data science is crucial for the data scientist to assess;

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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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