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Start your reading journey today on DL4ALL.org and unlock a world of imagination, knowledge, and inspiration!  Free Download Health Risk Assessment of Environmental Chemicals: Pre-Emptive and Integrated Approaches English | 2023 | ISBN: 9819915597 | 483 Pages | PDF EPUB (True) | 124 MB This book presents the frontier research of toxicology and health risk assessment of chemicals. First, it provides an overview of the current methods of evaluating safety amounts of chemicals and provides a new aspect of the principle of toxicology. Secondly, it shows recent research where the new method of health risk evaluation is adopted, followed by an integrated health risk assessment of chemicals. Finally, it describes the epigenetic inheritance of chemical impact on health throughout several generations.  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Concepts related to image preprocessing, contour and thresholding techniques, motion detection and tracking are explained in a step-by-step manner using code and output snippets.  Free Download Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing by Alfonso Antolínez García English | June 6, 2023 | ISBN: 1484293797 | 416 pages | MOBI | 9.24 Mb This book explains how to scale Apache Spark 3 to handle massive amounts of data, either via batch or streaming processing. It covers how to use Spark's structured APIs to perform complex data transformations and analyses you can use to implement end-to-end analytics workflows. This book covers Spark 3's new features, theoretical foundations, and application architecture. The first section introduces the Apache Spark ecosystem as a unified engine for large scale data analytics, and shows you how to run and fine-tune your first application in Spark. 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Free Download Hands-on AIOps: Best Practices Guide to Implementing AIOps by Navin Sabharwal, Gaurav Bhardwaj English | July 21, 2022 | ISBN: 1484282663 | 266 pages | MOBI | 8.41 Mb Welcome to your hands-on guide to artificial intelligence for IT operations (AIOps). This book provides in-depth coverage, including operations and technical aspects. The fundamentals of machine learning (ML) and artificial intelligence (AI) that form the core of AIOps are explained as well as the implementation of multiple AIOps uses cases using ML algorithms. |
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