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MASTERING MOJO: THE COMPREHENSIVE GUIDE TO MOJO PROGRAMMING by Travis M. Price
English | June 18, 2024 | ISBN: N/A | ASIN: B0D7F3C2SQ | 167 pages | EPUB | 0.19 Mb
About the Technology:

MOJO is a groundbreaking open-source language specifically designed for deploying high-performance machine learning models. This game-changer bridges the gap between Python's ease of use and C++'s raw speed, making it ideal for putting your models into action in the real world.
Written by Travis M. Price, a recognized expert in machine learning and data science, this book is your authoritative guide to mastering MOJO programming. Travis M. Price's extensive experience and proven track record ensure you're getting the most comprehensive and up-to-date information available.
Summary of the Book:
This book is your one-stop shop for mastering MOJO. It equips you with everything you need to get started, from the core concepts and syntax to advanced techniques for building robust and efficient machine learning applications.
What's Inside:Master the fundamentals of MOJO programming, including data structures, control flow, and error handling.Grasp essential concepts like data serialization, memory management, and parallel programming to optimize your models.Leverage MOJO's capabilities for real-world tasks like image recognition, natural language processing (NLP), and more.Explore practical step-by-step walkthroughs to build and deploy MOJO-powered applications across various domains.Gain hands-on experience with code examples, exercises, and industry-specific use cases.About the Reader:
Whether you're a machine learning developer, data scientist, or aspiring professional looking to expand your skill set, this book is for you. No prior MOJO experience is necessary, as the book takes you on a comprehensive journey from beginner to MOJO master.
Don't waste time searching for scattered information online. This book provides a clear, concise, and time-saving roadmap to mastering MOJO and unlocking its potential for your machine learning projects.
Stop waiting and start mastering MOJO today! Get your copy of "Mastering MOJO: The Comprehensive Guide to MOJO Programming" and unlock the power of deploying your machine learning models into the real world.

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MCAT Biology Review 2024-2025: Online + Book (Kaplan Test Prep) by Kaplan Test Prep
English | July 4, 2023 | ISBN: 1506286852 | 576 pages | MOBI | 34 Mb
Always study with the most up-to-date prep! Look for MCAT Biology Review 2025-2026, ISBN 9781506294124, on sale July 2, 2024.

✅Publisher's Note: Products purchased from third-party sellers are not guaranteed by the ✅Publisher for quality, authenticity, or access to any online entities included with the product.

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MCAT Organic Chemistry Review 2024-2025: Online + Book (Kaplan Test Prep) by Kaplan Test Prep
English | July 4, 2023 | ISBN: 1506286976 | 384 pages | MOBI | 12 Mb
Always study with the most up-to-date prep! Look for MCAT Organic Chemistry Review 2025-2026, ISBN 9781506294254, on sale July 2, 2024.

✅Publisher's Note: Products purchased from third-party sellers are not guaranteed by the ✅Publisher for quality, authenticity, or access to any online entities included with the product.

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MIMO Antenna Systems for 5G and Beyond
English | 2025 | ISBN: 1119932513 | 379 Pages | PDF, EPUB (True) | 89 MB
Multiple-input multiple-output (MIMO) antenna systems use multiple sets of antennas to increase the capacity of a radio link, or to send and receive multiple simultaneous data signals over the same radio channel. It's become an increasingly integral part of wireless and mobile data networks, from the earliest generations of wireless internet to cutting-edge 5G systems. The coming 6G networks will also rely on 6G antenna systems, making it all the more critical for the next generation of engineers and antenna designers to have a firm grasp of this foundational technology.

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MS-700 Managing Microsoft Teams Exam Guide:
Ace the MS-700 exam and become a Certified Microsoft Teams Administrator
English | 2024 | ISBN: 1835883958 | 707 Pages | EPUB (True) | 33 MB

MS-700 Managing Microsoft Teams Exam Guide, Third Edition provides a thorough exploration of Microsoft Teams administration, charting a clear pathway to mastering deployment, management, and optimization within the Microsoft 365 ecosystem. Devoted to empowering users to harness the full potential of Microsoft 365 tools, Nate Chamberlain draws from his extensive experience as a Microsoft Certified Trainer and Project Management Professional, to infuse this guide with educational insights into Microsoft Teams administration.

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Machine Learning Hybridization and Optimization for Intelligent Applications
English | 2025 | ISBN: 1032737530 | 338 Pages | PDF EPUB (True) | 64 MB
This book discusses state-of-the-art reviews of the existing machine learning techniques and algorithms including hybridizations and optimizations. It covers applications of machine learning via artificial intelligence (AI) prediction tools, discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, pattern recognition approaches to functional magnetic resonance imaging, image and speech recognition, automatic language translation, medical diagnostic, stock market prediction, traffic prediction, and product automation.

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Machine Learning Methods by Hang Li, Lu Lin, Huanqiang Zeng
English | December 6, 2023 | ISBN: 981993916X | 547 pages | MOBI | 66 Mb
This book provides a comprehensive and systematic introduction to the principal machine learning methods, covering both supervised and unsupervised learning methods. It discusses essential methods of classification and regression in supervised learning, such as decision trees, perceptrons, support vector machines, maximum entropy models, logistic regression models and multiclass classification, as well as methods applied in supervised learning, like the hidden Markov model and conditional random fields. In the context of unsupervised learning, it examines clustering and other problems as well as methods such as singular value decomposition, principal component analysis and latent semantic analysis.

As a fundamental book on machine learning, it addresses the needs of researchers and students who apply machine learning as an important tool in their research, especially those in fields such as information retrieval, natural language processing and text data mining. In order to understand the concepts and methods discussed, readers are expected to have an elementary knowledge of advanced mathematics, linear algebra and probability statistics. The detailed explanations of basic principles, underlying concepts and algorithms enable readers to grasp basic techniques, while the rigorous mathematical derivations and specific examples included offer valuable insights into machine learning.

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Machine Learning Support for Fault Diagnosis of System-on-Chip by Patrick Girard, Shawn Blanton, Li-C. Wang
English | March 14, 2023 | ISBN: 3031196384 | 327 pages | MOBI | 17 Mb
This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems. The methods discussed can be used for volume diagnosis after manufacturing or for diagnosis of customer returns. Readers will be enabled to deal with huge amount of insightful test data that cannot be exploited otherwise in an efficient, timely manner. After some background on fault diagnosis and machine learning, the authors explain and apply optimized techniques from the ML domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing. These techniques can be used for failure isolation in logic or analog circuits, board-level fault diagnosis, or even wafer-level failure cluster identification. Evaluation metrics as well as industrial case studies are used to emphasize the usefulness and benefits of using ML-based diagnosis techniques.

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Machine Learning and Python for Human Behavior, Emotion, and Health Status Analysis by Md Zia Uddin
English | August 30, 2024 | ISBN: 1032544783 | True EPUB | 250 pages | 27.6 MB
This book is a practical guide for individuals interested in exploring and implementing smart home applications using Python. Comprising six chapters enriched with hands-on codes, it seamlessly navigates from foundational concepts to cutting-edge technologies, balancing theoretical insights and practical coding experiences. In short, it is a gateway to the dynamic intersection of Python programming, smart home technology, and advanced machine learning applications, making it an invaluable resource for those eager to explore this rapidly growing field.

Key Features:
Throughout the book, practicality takes precedence, with hands-on coding examples accompanying each concept to facilitate an interactive learning journeyStriking a harmonious balance between theoretical foundations and practical coding, the book caters to a diverse audience, including smart home enthusiasts and researchersThe content prioritizes real-world applications, ensuring readers can immediately apply the knowledge gained to enhance smart home functionalitiesCovering Python basics, feature extraction, deep learning, and XAI, the book provides a comprehensive guide, offering an overall understanding of smart home applications

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Machine Learning for the Physical Sciences: Fundamentals and Prototyping With Julia
English | 2024 | ISBN: 1032395230 | 289 Pages | EPUB (True) | 5.3 MB
Machine learning is an exciting topic with a myriad of applications. However, most textbooks are targeted towards computer science students. This, however, creates a complication for scientists across the physical sciences that also want to understand the main concepts of machine learning and look ahead to applica- tions and advancements in their fields.

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Machine Learning in Elixir by Sean Moriarity
English | 2024 | ISBN: 9798888651254 | 374 pages | EPUB | 6.73 Mb
Stable Diffusion, ChatGPT, Whisper - these are just a few examples of incredible applications powered by developments in machine learning. Despite the ubiquity of machine learning applications running in production, there are only a few viable language choices for data science and machine learning tasks. Elixir's Nx project seeks to change that. With Nx, you can leverage the power of machine learning in your applications, using the battle-tested Erlang VM in a pragmatic language like Elixir. In this book, you'll learn how to leverage Elixir and the Nx ecosystem to solve real-world problems in computer vision, natural language processing, and more.

The Elixir Nx project aims to make machine learning possible without the need to leave Elixir for solutions in other languages. And even if concepts like linear models and logistic regression are new to you, you'll be using them and much more to solve real-world problems in no time.
Start with the basics of the Nx programming paradigm - how it differs from the Elixir programming style you're used to and how it enables you to write machine learning algorithms. Use your understanding of this paradigm to implement foundational machine learning algorithms from scratch. Go deeper and discover the power of deep learning with Axon. Unlock the power of Elixir and learn how to build and deploy machine learning models and pipelines anywhere. Learn how to analyze, visualize, and explain your data and models.
Discover how to use machine learning to solve diverse problems from image recognition to content recommendation - all in your favorite programming language.
What You Need
You'll need a computer with a working installation of Elixir v1.12 and Erlang/OTP 24. For some of the more compute intensive examples, you'll want to use EXLA, which currently only supports x86-64 platforms. While not explicitly required, some examples will demonstrate programs running on accelerators such as CUDA/ROCm enabled GPUs and Google TPUs. Most of these programs will still run fine on a regular CPU, just for much longer periods of time.

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Machine Learning in Single-Cell RNA-seq Data Analysis
English | 2024 | ISBN: 9819767024 | 106 Pages | PDF EPUB (True) | 14 MB
This book provides a concise guide tailored for researchers, bioinformaticians, and enthusiasts eager to unravel the mysteries hidden within single-cell RNA sequencing (scRNA-seq) data using cutting-edge machine learning techniques. The advent of scRNA-seq technology has revolutionized our understanding of cellular diversity and function, offering unprecedented insights into the intricate tapestry of gene expression at the single-cell level. However, the deluge of data generated by these experiments presents a formidable challenge, demanding advanced analytical tools, methodologies, and skills for meaningful interpretation. This book bridges the gap between traditional bioinformatics and the evolving landscape of machine learning. Authored by seasoned experts at the intersection of genomics and artificial intelligence, this book serves as a roadmap for leveraging machine learning algorithms to extract meaningful patterns and uncover hidden biological insights within scRNA-seq datasets.

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Machine Vision By Wesley E. Snyder, Hairong Qi
2010 | 452 Pages | ISBN: 052116981X | PDF | 3 MB
Providing all the necessary theoretical tools, this comprehensive introduction to machine vision shows how these tools are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises giving insights into the development of practical image processing algorithms. A CD-ROM containing software and data used in these exercises is also included. Aimed at graduate students in electrical engineering, computer science, and mathematics, the book will be a useful reference for professionals as well.

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Wendy Carlin, "Macroeconomics: Institutions, Instability, and Inequality"
English | ISBN: 0198838662 | 2024 | 1024 pages | PDF | 95 MB
At the cutting edge of the subject area, the authors bring the macroeconomics that researchers and policymakers use today into focus. By developing a coherent set of tractable models, the book enables students to explore and make sense of the pressing questions facing global economies.

Carlin and Soskice connect students with contemporary research and policy in macroeconomics. The authors' 3-equation model - extended to include the financial system and with an integrated treatment of inequality - equips students with a method they can apply to the enduring challenges stirred by the financial crisis and the Great Recession.
Key features
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Macroeconomics, Canadian 9th Edition
English | 2022 | ISBN: 9780136727538 | 593 Pages | PDF | 83 MB
Macroeconomics presents macroeconomic theory in a big-picture way. The text focuses on a single model, to provide you with a clear understanding of macroeconomics and its classical and Keynesian assumptions. Comprehensive coverage helps you analyze real macroeconomic data that real policy makers and researchers use.

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