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  Author: creativelivenew1   |   26 December 2023   |   Comments icon: 0
Machine Learning in Production Master the art of delivering robust Machine Learning solutions with MLOps (English Edition)
Free Download Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps (English Edition) by Suhas Pote
English | April 29, 2023 | ISBN: 9355518102 | 458 pages | MOBI | 103 Mb
Deploy, manage, and scale Machine Learning models with MLOps effortlessly

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  Author: creativelivenew1   |   26 December 2023   |   Comments icon: 0
Machine Learning for Time Series
Free Download Machine Learning for Time Series: Use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods, 2nd Edition by Ben Auffarth
English | March 11, 2024 | ISBN: 1837631336 | 392 pages | MOBI | 0.70 Mb
Get better insights from time-series data and become proficient in building models with real-world data

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  Author: creativelivenew1   |   26 December 2023   |   Comments icon: 0
Machine Learning for Sustainable Manufacturing in Industry 4.0
Free Download Machine Learning for Sustainable Manufacturing in Industry 4.0: Concept, Concerns and Applications
English | 2024 | ISBN: 103239305X | 250 Pages | PDF (True) | 17 MB
The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods.

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  Author: creativelivenew1   |   26 December 2023   |   Comments icon: 0
Machine Learning for Earth Sciences
Free Download Machine Learning for Earth Sciences: Using Python to Solve Geological Problems
English | 2023 | ISBN: 3031351134 | 314 Pages | PDF EPUB (True) | 88 MB
This textbook introduces the reader to Machine Learning (ML) applications in Earth Sciences. In detail, it starts by describing the basics of machine learning and its potentials in Earth Sciences to solve geological problems. It describes the main Python tools devoted to ML, the typival workflow of ML applications in Earth Sciences, and proceeds with reporting how ML algorithms work. The book provides many examples of ML application to Earth Sciences problems in many fields, such as the clustering and dimensionality reduction in petro-volcanological studies, the clustering of multi-spectral data, well-log data facies classification, and machine learning regression in petrology. Also, the book introduces the basics of parallel computing and how to scale ML models in the cloud. The book is devoted to Earth Scientists, at any level, from students to academics and professionals.

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  Author: creativelivenew1   |   26 December 2023   |   Comments icon: 0
Machine Learning at Scale with H2O
Free Download Machine Learning at Scale with H2O: A practical guide to building and deploying machine learning models on enterprise systems by Gregory Keys, David Whiting
English | July 29, 2022 | ISBN: 1800566018 | 396 pages | MOBI | 15 Mb
Build predictive models using large data volumes and deploy them to production using cutting-edge techniques

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  Author: creativelivenew1   |   26 December 2023   |   Comments icon: 0
Machine Learning and Optimization Techniques for Automotive Cyber–Physical Systems
Free Download Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems
English | 2023 | ISBN: 3031280156 | 1312 Pages | PDF EPUB (True) | 119 MB
This book provides comprehensive coverage of various solutions that address issues related to real-time performance, security, and robustness in emerging automotive platforms. The authors discuss recent advances towards the goal of enabling reliable, secure, and robust, time-critical automotive cyber-physical systems, using advanced optimization and machine learning techniques. The focus is on presenting state-of-the-art solutions to various challenges including real-time data scheduling, secure communication within and outside the vehicle, tolerance to faults, optimizing the use of resource-constrained automotive ECUs, intrusion detection, and developing robust perception and control techniques for increasingly autonomous vehicles.

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  Author: creativelivenew1   |   26 December 2023   |   Comments icon: 0
Machine Learning Techniques for Text
Free Download Machine Learning Techniques for Text: Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation by Nikos Tsourakis
English | October 31, 2022 | ISBN: 1803242388 | 448 pages | MOBI | 23 Mb
Take your Python text processing skills to another level by learning about the latest natural language processing and machine learning techniques with this full color guide

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  Author: creativelivenew1   |   26 December 2023   |   Comments icon: 0
Machine Learning Engineering with Python (2nd Edition)
Free Download Machine Learning Engineering with Python:
Manage the lifecycle of machine learning models using MLOps with practical examples

English | 2023 | ISBN: 9781837631964 | 462 Pages | EPUB | 19 MB

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  Author: creativelivenew1   |   26 December 2023   |   Comments icon: 0
Machine Learning Engineering on AWS  Build, scale, and secure machine learning systems and MLOps pipelines (repost)
Free Download Machine Learning Engineering on AWS:
Build, scale, and secure machine learning systems and MLOps pipelines in production

English | 2022 | ISBN: 9781803247595 | 789 Pages | PDF EPUB (True) | 44 MB

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  Author: creativelivenew1   |   26 December 2023   |   Comments icon: 0
Machine Learning Algorithms Adversarial Robustness in Signal Processing (Wireless Networks)
Free Download Machine Learning Algorithms: Adversarial Robustness in Signal Processing (Wireless Networks) by Fuwei Li, Lifeng Lai, Shuguang Cui
English | November 16, 2022 | ISBN: 3031163745 | 113 pages | MOBI | 11 Mb
This book demonstrates the optimal adversarial attacks against several important signal processing algorithms. Through presenting the optimal attacks in wireless sensor networks, array signal processing, principal component analysis, etc, the authors reveal the robustness of the signal processing algorithms against adversarial attacks. Since data quality is crucial in signal processing, the adversary that can poison the data will be a significant threat to signal processing. Therefore, it is necessary and urgent to investigate the behavior of machine learning algorithms in signal processing under adversarial attacks.

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