Data Analytics using Machine Learning Techniques on Cloud Platforms

<p>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. </p><p>This book: </p><ul> <li>Covers supervised and unsupervised learning including regression clustering classification and neural networks</li> <li>Discusses Hadoop Spark Tableau Power BI and Splunk for analytics and visualization</li> <li>Examines how cloud computing enhances scalability efficiency and automation in data analytics</li> <li>Showcases ML-driven solutions in e-commerce supply chain logistics healthcare and education</li> </ul><p>This book is an essential resource for students researchers and professionals who seek to understand and apply ML-driven cloud analytics in real-world scenarios.</p>