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Start your reading journey today on DL4ALL.org and unlock a world of imagination, knowledge, and inspiration! ![]() Free Download Made in the Margins: Latina/o Constructions of US Religious History (New Perspectives on Latina/o Religion) by Hjamil A. Mart English | March 15, 2013 | ISBN: 1602581991 | 200 pages | PDF | 1.26 Mb Though the writing of US religious history has become increasingly open to new voices, Hjamil A. Martínez-Vázquez argues that those voices have yet to challenge effectively the dominant Eurocentric historical perspective. In this first Latina/o American religious historiography, Martínez-Vázquez critiques the traditional narrative not for what it says, but for what it does not say. Made in the Margins considers the ways in which traditional historiography has favored a specific understanding of US religious history and offers a new method of constructing Latina/o histories as "subaltern." And, in so doing, Made in the Margins ably begins the necessary conversation about truly doing history from within previously marginalized communities and disciplines. ![]() Free Download Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases by Joos Korstanje English | July 21, 2022 | ISBN: 1484282868 | 327 pages | MOBI | 24 Mb Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python. This book starts with an introduction to geodata and covers topics such as GIS and common tools, standard formats of geographical data, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data are discussed: from coordinate systems and map projections to different geodata formats and types such as points, lines, polygons, and rasters. Analytics operations typically applied to geodata are explained such as clipping, intersecting, buffering, merging, dissolving, and erasing, with implementations in Python. Use cases and examples are included. The book also focuses on applying more advanced machine learning approaches to geographical data and presents interpolation, classification, regression, and clustering via examples and use cases. This book is your go-to resource for machine learning on geodata. It presents the basics of working with spatial data and advanced applications. Examples are presented using code (accessible at github.com/Apress/machine-learning-geographic-data-python) and facilitate learning by application. ![]() 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 ![]() 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 ![]() 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. ![]() 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. ![]() 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 ![]() 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. ![]() 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 ![]() 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 |