Data analytics using machine de rawat seema (17 resultados)

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Condición: New. 1st edition NO-PA16APR2015-KAP.

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Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

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Hardback. Condición: New. Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning (ML) and cloud computing combine to drive data-driven decision-making across industries. Covering ML techniques, loud-based analytics tools and security concerns, this book provides theoretical foundations and real-world applications in fields like healthcare, logistics and e-commerce. It also addresses security challenges, privacy concerns and compliance frameworks, ensuring a comprehensive understanding of cloud-based analytics. This book: Covers supervised and unsupervised learning, including regression, clustering, classification and neural networksDiscusses Hadoop, Spark, Tableau, Power BI and Splunk for analytics and visualizationExamines how cloud computing enhances scalability, efficiency and automation in data analyticsShowcases ML-driven solutions in e-commerce, supply chain logistics, healthcare and educationThis book is an essential resource for students, researchers and professionals who seek to understand and apply ML-driven cloud analytics in real-world scenarios.…

Hardcover. Condición: Brand New. 200 pages. 9.18x6.12x9.45 inches. In Stock.

Hardback. Condición: New. Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning (ML) and cloud computing combine to drive data-driven decision-making across industries. Covering ML techniques, loud-based analytics tools and security concerns, this book provides theoretical foundations and real-world applications in fields like healthcare, logistics and e-commerce. It also addresses security challenges, privacy concerns and compliance frameworks, ensuring a comprehensive understanding of cloud-based analytics. This book: Covers supervised and unsupervised learning, including regression, clustering, classification and neural networksDiscusses Hadoop, Spark, Tableau, Power BI and Splunk for analytics and visualizationExamines how cloud computing enhances scalability, efficiency and automation in data analyticsShowcases ML-driven solutions in e-commerce, supply chain logistics, healthcare and educationThis book is an essential resource for students, researchers and professionals who seek to understand and apply ML-driven cloud analytics in real-world scenarios.…

Hardcover. Condición: new. Hardcover. Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning (ML) and cloud computing combine to drive data-driven decision-making across industries. Covering ML techniques, loud-based analytics tools and security concerns, this book provides theoretical foundations and real-world applications in fields like healthcare, logistics and e-commerce. It also addresses security challenges, privacy concerns and compliance frameworks, ensuring a comprehensive understanding of cloud-based analytics. This book: Covers supervised and unsupervised learning, including regression, clustering, classification and neural networksDiscusses Hadoop, Spark, Tableau, Power BI and Splunk for analytics and visualizationExamines how cloud computing enhances scalability, efficiency and automation in data analyticsShowcases ML-driven solutions in e-commerce, supply chain logistics, healthcare and educationThis book is an essential resource for students, researchers and professionals who seek to understand and apply ML-driven cloud analytics in real-world scenarios. Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning and cloud computing combine to drive data-driven decision-making across industries. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Hardcover. Condición: new. Hardcover. Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning (ML) and cloud computing combine to drive data-driven decision-making across industries. Covering ML techniques, loud-based analytics tools and security concerns, this book provides theoretical foundations and real-world applications in fields like healthcare, logistics and e-commerce. It also addresses security challenges, privacy concerns and compliance frameworks, ensuring a comprehensive understanding of cloud-based analytics. This book: Covers supervised and unsupervised learning, including regression, clustering, classification and neural networksDiscusses Hadoop, Spark, Tableau, Power BI and Splunk for analytics and visualizationExamines how cloud computing enhances scalability, efficiency and automation in data analyticsShowcases ML-driven solutions in e-commerce, supply chain logistics, healthcare and educationThis book is an essential resource for students, researchers and professionals who seek to understand and apply ML-driven cloud analytics in real-world scenarios. Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning and cloud computing combine to drive data-driven decision-making across industries. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Seema Rawat | Professor | AI &amp Data Science | Innovation &amp Entrepreneurship Dr. Seema Rawat, Professor in the Department of Information Technology at Amity School of Engineering and Technology, Amity University Uttar P.…

Hardcover. Condición: new. Hardcover. Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning (ML) and cloud computing combine to drive data-driven decision-making across industries. Covering ML techniques, loud-based analytics tools and security concerns, this book provides theoretical foundations and real-world applications in fields like healthcare, logistics and e-commerce. It also addresses security challenges, privacy concerns and compliance frameworks, ensuring a comprehensive understanding of cloud-based analytics. This book: Covers supervised and unsupervised learning, including regression, clustering, classification and neural networksDiscusses Hadoop, Spark, Tableau, Power BI and Splunk for analytics and visualizationExamines how cloud computing enhances scalability, efficiency and automation in data analyticsShowcases ML-driven solutions in e-commerce, supply chain logistics, healthcare and educationThis book is an essential resource for students, researchers and professionals who seek to understand and apply ML-driven cloud analytics in real-world scenarios. Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning and cloud computing combine to drive data-driven decision-making across industries. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …