Data Analytics using Machine Learning Techniques by Seema Rawat(.PDF)+
File Size: 10 MB
Data Analytics using Machine Learning Techniques on Cloud Platforms by Seema Rawat, Neelu Jyothi Ahuja, Avita Katal, Praveen Kumar, Shabana Urooj
Requirements: .ePUB, .PDF reader, 10 MB
Overview: 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. The journey begins with insights into what data analytics are like, where it started, how it looks like in a Big Data era. The book then turns to relevant challenges that industries are currently facing in the data management sphere, analysing necessary tools and technologies such as Apache Hadoop, Tableau and Power BI, which are crucial for analytical processes. The emphasis on statistical methods and ML toolchains equips the audience with the necessary skill set to comprehend predictive analytics models and the deployment of such models. 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.
Genre: Non-Fiction > Tech & Devices
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