Tag: Machine

Free Download The Unaccountability Machine: Why Big Systems Make Terrible Decisions – and How The World Lost its Mind by Dan Davies
English | April 18th, 2024 | ISBN: 1788169549 | 304 pages | True EPUB | 0.54 MB
‘A corporation, or a government department isn’t a conscious being, but it is an artificial intelligence. It has the capability to take decisions which are completely distinct from the intentions of any of the people who compose it. And under stressful conditions, it can go stark raving mad.’

Free Download Secrets of Machine Learning : How it Works and What it Means for You (238 Pages)
by Tom Kohn
English | 2024 | ISBN: 1800614888 | 239 pages | True PDF | 10.52 MB

Free Download Robust Machine Learning: Distributed Methods for Safe AI
English | 2024 | ISBN: 9819706874 | 187 Pages | PDF EPUB (True) | 14 MB
Today, machine learning algorithms are often distributed across multiple machines to leverage more computing power and more data. However, the use of a distributed framework entails a variety of security threats. In particular, some of the machines may misbehave and jeopardize the learning procedure. This could, for example, result from hardware and software bugs, data poisoning or a malicious player controlling a subset of the machines. This book explains in simple terms what it means for a distributed machine learning scheme to be robust to these threats, and how to build provably robust machine learning algorithms.

Free Download Proceedings of the International Conference on Machine Learning, Deep Learning
and Computational Intelligence for Wireless Communication: MDCWC 2023
English | 2024 | ISBN: 3031479416 | 654 Pages | PDF EPUB (True) | 84 MB

Free Download Practical Machine Learning on Databricks: Seamlessly transition ML models and MLOps on Databricks by Debu Sinha
English | November 24, 2023 | ISBN: 1801812039 | 244 pages | EPUB | 8.08 Mb
Take your machine learning skills to the next level by mastering databricks and building robust ML pipeline solutions for future ML innovationsKey FeaturesLearn to build robust ML pipeline solutions for databricks transitionMaster commonly available features like AutoML and MLflowLeverage data governance and model deployment using MLflow model registryPurchase of the print or Kindle book includes a free PDF eBookBook Description

Free Download Omniscient Machine: Conversion of the Conventional Computer System
by Paramhans Jiddanand
English | April 6, 2024 | ASIN: B0CWS1RHVP | 364 pages | PDF | 118 Mb

Free Download Model-Based Machine Learning
by John Michael Winn
English | 2023 | ISBN: 1498756816 | 469 pages | True PDF | 45.49 MB

Free Download Methodologies, Frameworks, and Applications of Machine Learning
by Srivastava Pramod
English | 2024 | ISBN: 9798369310625 | 315 pages | True PDF EPUB | 39.71 MB

Free Download Metaheuristics for Machine Learning
by Kanak Kalita, Narayanan Ganesh and S. Balamurugan
English | 2024 | ISBN: 1394233922 | 342 pages | True PDF | 16.63 MB

Free Download Metaheuristics for Machine Learning: Algorithms and Applications
English | 2024 | ISBN: 1394233922 | 352 Pages | EPUB | 4 MB
The field of metaheuristic optimization algorithms is experiencing rapid growth, both in academic research and industrial applications. These nature-inspired algorithms, which draw on phenomena like evolution, swarm behavior, and neural systems, have shown remarkable efficiency in solving complex optimization problems. With advancements in machine learning and artificial intelligence, the application of metaheuristic optimization techniques has expanded, demonstrating significant potential in optimizing machine learning models, hyperparameter tuning, and feature selection, among other use-cases.