Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics eBook-P2P
29
July
2021
English | 2021 | ISBN: 0367466635 | 217 pages | True PDF | 16.23 MB
Data science revolves around two giants: Big Data analytics and Deep Learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of Big Data as well as Deep Learning systems.
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English | 2021 | ISBN: 0367685345 | 283 pages | True PDF | 32.68 MB
Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning can be totally transformed through massive volumes of data. This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers.
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English | 2021 | ISBN: 3030772217 | 163 pages | PDF, EPUB | 28.48 MB
It has been more than 20 years since the seminal publications on side-channel attacks. They aim at extracting secrets from embedded systems while they execute cryptographic algorithms, and they consist of two steps, measurement and analysis. This book tackles the analysis part, especially under situations where the targeted device is protected by random masking. The authors explain advances in the field and provide the reader with mathematical formalizations. They present all known analyses within the same notation framework, which allows the reader to rapidly understand and learn contrasting approaches. It will be useful as a graduate level introduction, also for self-study by researchers and professionals, and the examples are taken from real-world datasets.
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English | 2021 | ISBN: 3030720683 | 197 pages | PDF, EPUB | 15.18 MB
This book presents recent advances in automated machine learning (AutoML) and automated algorithm design and indicates the future directions in this fast-developing area. Methods have been developed to automate the design of neural networks, heuristics and metaheuristics using techniques such as metaheuristics, statistical techniques, machine learning and hyper-heuristics. The book first defines the field of automated design, distinguishing it from the similar but different topics of automated algorithm configuration and automated algorithm selection.
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Pragmatic Machine Learning with Python: Learn How to Deploy Machine Learning Models in Production
English | April 30th, 2020 | ISBN: 938984536X | 338 pages | True EPUB | 13.06 MB
English | April 30th, 2020 | ISBN: 938984536X | 338 pages | True EPUB | 13.06 MB
An easy-to-understand guide to learn practical Machine Learning techniques with Mathematical foundations
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English | March 27th, 2021 | ISBN: 9389328543 | 310 pages | True EPUB | 11.55 MB
Hands-on Penetration Testing for Web Applications offers readers with knowledge and skillset to identify, exploit and control the security vulnerabilities present in commercial web applications including online banking, mobile payments and e-commerce applications.
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Implement NLP use-cases using BERT eBook-P2P
29
July
2021
English | April 16th, 2021 | ISBN: 9390684625 | 164 pages | True EPUB | 4.07 MB
This book provides a solid foundation for 'Natural Language Processing' with pragmatic explanation and implementation of a wide variety of industry wide scenarios. After reading this book, one can simply jump to solve real world problems and join the league of NLP developers.
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Control Your Home with Raspberry Pi: Secure, Modular, Open-Source and Self-Sufficient
English | 2020 | ISBN: 1907920943 | 331 pages | True PDF | 14.6 MB
Ever since the Raspberry Pi was introduced, it has been used by enthusiasts to automate their homes. The Raspberry Pi is a powerful computer in a small package, with lots of interfacing options to control various devices. This book shows you how you can automate your home with a Raspberry Pi. You’ll learn how to use various wireless protocols for home automation, such as Bluetooth, 433.92 MHz radio waves, Z-Wave, and Zigbee. Soon you’ll automate your home with Python, Node-RED, and Home Assistant, and you’ll even be able to speak to your home automation system. All this is done securely, with a modular system, completely open-source, without relying on third-party services. You’re in control of your home, and no one else.
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Foundations of Blockchain: Theory and Applications (SpringerBriefs in Computer Science)
English | 85 pages | Springer; 1st ed. 2021 edition (July 17, 2021) | 3030750248 | EPUB,PDF | 10.07 Mb
This book provides a comprehensive analysis of fundamental topics related to blockchain. Throughout, the authors explore different vital issues and specific areas of blockchain. For convenience, the authors present the elementary description, visualize the working procedure of blockchain paradigm, and highlight the areas it can be applied in real life. They explain the blockchain process from a diverse perspective i.e. distributed Internet of Things (IoT), interdependent networks, intelligent mining, etc.
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English | 676 pages | Springer; 1st ed. 2021 edition (July 16, 2021) | 3030640175 | PDF | 29.5 Mb
This book explores the methodological and application developments of network design in transportation and logistics. It identifies trends, challenges and research perspectives in network design for these areas. Network design is a major class of problems in operations research where network flow, combinatorial and mixed integer optimization meet. The analysis and planning of transportation and logistics systems continues to be one of the most important application areas of operations research. Networks provide the natural way of depicting such systems, so the optimal design and operation of networks is the main methodological area of operations research that is used for the analysis and planning of these systems. This book defines the current state of the art in the general area of network design, and then turns to its applications to transportation and logistics. New research challenges are addressed.
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