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Free Download Machine Learning Techniques and Industry Applications by Pramod Kumar Srivastava, Ashok Kumar Yadav
English | April 16, 2024 | ISBN: 8369352723 | 332 pages | EPUB | 16 Mb
In today's rapidly evolving world, the exponential growth of data poses a significant challenge. As data volumes increase, traditional methods of analysis and decision-making become inadequate. This surge in data complexity calls for innovative solutions that efficiently extract meaningful insights. Machine learning has emerged as a powerful tool to address this challenge, offering algorithms and techniques to analyze large datasets and uncover hidden patterns, trends, and correlations. Machine Learning Techniques and Industry Applications demystifies machine learning through detailed explanations, examples, and case studies, making it accessible to a broad audience. Whether you're a student, researcher, or practitioner, this book equips you with the knowledge and skills needed to harness the power of machine learning to address diverse challenges. From e-government to healthcare, cyber-physical systems to agriculture, this book explores how machine learning can drive innovation and sustainable development.

Free Download Machine Learning Methods for Multi-Omics Data Integration by Abedalrhman Alkhateeb, Luis Rueda
English | November 14, 2023 | ISBN: 3031365011 | 174 pages | MOBI | 7.74 Mb
The advancement of biomedical engineering has enabled the generation of multi-omics data by developing high-throughput technologies, such as next-generation sequencing, mass spectrometry, and microarrays. Large-scale data sets for multiple omics platforms, including genomics, transcriptomics, proteomics, and metabolomics, have become more accessible and cost-effective over time. Integrating multi-omics data has become increasingly important in many research fields, such as bioinformatics, genomics, and systems biology. This integration allows researchers to understand complex interactions between biological molecules and pathways. It enables us to comprehensively understand complex biological systems, leading to new insights into disease mechanisms, drug discovery, and personalized medicine. Still, integrating various heterogeneous data types into a single learning model also comes with challenges. In this regard, learning algorithms have been vital in analyzing and integratingthese large-scale heterogeneous data sets into one learning model.

Free Download Machine Learning Infrastructure and Best Practices for Software Engineers: Take your machine learning software from a prototype to a fully fledged software system by Miroslaw Staron
English | January 31, 2024 | ISBN: 1837634068 | 346 pages | EPUB | 13 Mb
Efficiently transform your initial designs into big systems by learning the foundations of infrastructure, algorithms, and ethical considerations for modern software productsKey FeaturesLearn how to scale-up your machine learning software to a professional levelSecure the quality of your machine learning pipeline at runtimeApply your knowledge to natural languages, programming languages, and imagesBook Description

Free Download Hui Jiang, "Machine Learning Fundamentals"
English | ISBN: 1108940021 | 2022 | 418 pages | AZW3 | 6 MB
This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely "from scratch" based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.

Free Download Machine Learning Crash Course for Engineers by Eklas Hossain
English | January 3, 2024 | ISBN: 3031469895 | 473 pages | MOBI | 30 Mb
Machine Learning Crash Course for Engineers is a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book focuses on the application aspects of machine learning, progressing from the basics to advanced topics systematically from theory to applications and worked-out Python programming examples. It offers highly illustrated, step-by-step demonstrations that allow readers to implement machine learning models to solve real-world problems. This powerful tutorial is an excellent resource for those who need to acquire a solid foundational understanding of machine learning quickly.

Free Download Pierre Jouguet, "Macedonian Imperialism"
English | 2008 | ISBN: 0415868017, 0415155770 | EPUB | pages: 488 | 3.6 mb
Originally published between 1920-70,The History of Civilization was a landmark in early twentieth century publishing. It was published at a formative time within the social sciences, and during a period of decisive historical discovery. The aim of the general editor, C.K. Ogden, was to summarize the most up to date findings and theories of historians, anthropologists, archaeologists and sociologists.

Dl4All - Download free For All: software and educational resource.

Machine Learning for Beginners

Machine Learning Techniques and Industry Applications

Machine Learning Methods for Multi–Omics Data Integration

Machine Learning Mathematics

Machine Learning Infrastructure and Best Practices for Software Engineers

Machine Learning Fundamentals

Machine Learning Crash Course for Engineers

Macedonian Imperialism

Macaron School Mastering the World's Most Perfect Cookie with 50 Delicious Recipes

MacBook For Dummies, 10th Edition