Data-Driven Systems and Intelligent by Mangesh M. Ghonge (.PDF)
File Size: 12.5 MB
Data-Driven Systems and Intelligent Applications by Mangesh M. Ghonge, N. Krishna Chaitanya, Pradeep N., Harish Garg, Alessandro Bruno
Requirements: .PDF reader, 12.5 MB
Overview: This book comprehensively discusses basic data-driven intelligent systems, the methods for processing the data, and cloud computing with Artificial Intelligence (AI). It presents fundamental and advanced techniques used for handling large user data, and for the data stored in the cloud. It further covers data-driven decision-making for smart logistics and manufacturing systems, network security, and privacy issues in cloud computing. The foundation of Machine Learning is the precise use of models and algorithms. Put another way, an algorithm is just a basic procedure for making use of data, either structured or unstructured, to get a result. Concurrently, a Machine Learning model denotes the program–algorithm combination that allows the program to achieve the required objective. Machine Learning models encompass the broader scope of the output generated by algorithms, which are formulas for making predictions. As a result, making the claim that ML models come from Machine Learning algorithms rather than the other way around is technically correct. Viewing the models in Machine Learning will help us comprehend the function of ML algorithms. Presents the advent of Machine Learning, Deep Learning, and reinforcement technique for cloud computing to provide cost-effective and efficient services. The text will be useful for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer engineering, manufacturing engineering, and production engineering.
Genre: Non-Fiction > Tech & Devices
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