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 English | 2021 | ISBN: 1718200870 | 289 pages | True PDF | 10.09 MB Building strong, muscular arms takes more than hard work and dedication. It also takes a plan-one rooted in science, based on the latest research, and proven to deliver results.Massive, Muscular Arms: Scientifically Proven Strategies for Bigger Biceps, Triceps, and Forearmsis that plan and so much more. Massive, Muscular Armstakes an in-depth look at the underlying principles of biomechanics and anatomy to provide you with a better understanding of why your results may have stagnated and how small adjustments to the most common arm exercises can make them more effective. You will learn about the importance of training for strength and why low-rep strength work is a necessary component to building more aesthetically impressive arms.  English | 2021 | ISBN: 1742236804 | 160 pages | EPUB | 5.97 MB Level Up Your Essays is the essential guide to essay writing for university students. Written by the people who mark your essays, it will show you step-by-step how to write high-quality essays that will get you top marks. This book will guide you through all the stages, including your essay plan, developing research strategies, writing with distinction, finishing strongly with editing, and getting your referencing right every time. Bursting with insider tips and tricks on what markers look for, this clear and easy-to-use guide includes: 22 worksheets with exercises and checklists The secret formula for a good essay (yes, there is a formula!) Practical insights into digital tools to help you with research, writing and referencing Guidelines for getting your academic English right every time Common mistakes and missteps and how to fix them Straightforward information for international students Successful time management strategies so you never hand in an essay late No matter what grades you get now, this book will revolutionise your essay writing - and get you the marks to prove it. [center]
 English | 2021 | ISBN: 0367720299 | 432 pages | True PDF | 16.5 MB Lattice theory extends into virtually every branch of mathematics, ranging from measure theory and convex geometry to probability theory and topology. A more recent development has been the rapid escalation of employing lattice theory for various applications outside the domain of pure mathematics. These applications range from electronic communication theory and gate array devices that implement Boolean logic to artificial intelligence and computer science in general. Introduction to LatticeAlgebra: With Applications in AI, Pattern Recognition, Image Analysis, and Biomimetic Neural Networkslays emphasis on two subjects, the first being lattice algebra and the second the practical applications of that algebra. This textbook is intended to be used for a special topics course in artificial intelligence with a focus on pattern recognition, multispectral image analysis, and biomimetic artificial neural networks. The book is self-contained and - depending on the student's major - can be usedfor a senior undergraduate level or first-year graduate level course. The book is also an ideal self-study guide for researchers and professionals in the above-mentioned disciplines.
 English | 2021 | ISBN: 1626239886 | 600 pages | True (PDF EPUB) | 635.14 MB First volume in state-of-the-art radiologic text-atlas series details anatomy of the lungs, mediastinum, and heart Normal imaging anatomy and variants, including both diagnostic and surgical anatomy, are the cornerstones of radiologic knowledge.Imaging Anatomy: Text and Atlas Volume 1, Lungs, Mediastinum, and Heartis the first in a series of four richly illustrated radiologic references edited by distinguished radiologist Farhood Saremi and coedited by Damian Sanchez-Quintana, Hiro Kiyosue, Francesco F. Faletra, Meng Law, Dakshesh Patel, and Shane Tubbs, with contributions from an impressive cadre of international authors.
 English | 2021 | ISBN: 1292275634 | 938 pages | True PDF | 122.38 MB For courses in General, Organic, and Biological Chemistry Make connections between chemistry and future health-related careers General, Organic, and Biological Chemistry: Structures of Life engages students by helping them see the connections between chemistry, the world around them, and future health-related careers. Known for its friendly writing style, student focus, robust problem-solving pedagogy, and engaging health-related applications, the text prepares students for their careers. The text breaks chemical concepts and problem solving into clear, manageable pieces to ensure students stay on track and motivated throughout their first, and often only, chemistry course. With the newly revised 6th Edition, best-selling author Karen Timberlake and new contributing author MaryKay Orgill connect chemistry to real-world and career applications. Their goal is to help students become critical thinkers by understanding scientific concepts that will form a basis for making important decisions about issues concerning health and the environment and their intended careers. The new edition introduces more problem-solving strategies, more problem-solving guides, new Analyze the Problem with Connect features, new Try It First and Engage features, conceptual and challenge problems, and new sets of combined problems-all to help students develop the problem-solving skills they'll need beyond the classroom. Also available with Mastering Chemistry or as an easy-to-use, standalone Pearson eText Mastering™ is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools developed to engage students and emulate the office-hour experience, Mastering personalizes learning and often improves results for each student. Learn more about Mastering Chemistry. Pearson eText allows educators to easily share their own notes with students so they see the connection between their reading and what they learn in class-motivating them to keep reading, and keep learning. Portable access lets students study on the go, even offline. And, reading analytics offer insight into how students use the eText, helping educators tailor their instruction. Learn more about Pearson eText. [center]  English | 2021 | ISBN: 1138336181 | 297 pages | True PDF | 8.49 MB Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science. Data Science is an umbrella term for the non-traditional techniques and technologies that are required to collect, aggregate, process, and gain insights from massive datasets. This book offers all the processes, methodologies, various steps like data acquisition, pre-process, mining, prediction, and visualization tools for extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes  English | 2019 | ISBN: 1292244100 | 383 pages | True PDF | 20.12 MB Essentials of Marketing, seventh edition, provides an accessible, lively and engaging introduction to marketing. Taking a practical, tactical approach, the authors cover traditional marketing techniques and theories, as well as offering the most up to date critical perspectives. Using contemporary case studies, in-chapter examples and suggestions for further reading the book provides everything an undergraduate or CIM student needs to excel in their discipline. The 7th edition also includes increased content on digital marketing, as well as a new 'thinking ethically' feature which is designed to make students think about this vital area of marketing.  English | 2021 | ISBN: 0262542579 | 155 pages | True EPUB | 6.79 MB This innovative book offers a learn-by-doing guide to entrepreneurship that balances practical advice with rigorous academic content. It introduces important concepts, provides highly engaging examples, and supplies the tools needed to put lessons into practice, creating a research-supported, step-by-step reference for developing, testing, and pitching any startup idea. By integrating lean startup principles, design thinking, and elements of the jobs-to-be-done framework, this combination textbook-workbook allows readers to choose for themselves whether, or to what extent, to engage with theory. All of the book's ten chapters encourage hands-on effort, providing readers with easy-to-follow steps, calls to action, and attainable milestones. Aspiring entrepreneurs will find this systematic approach to be more efficient than haphazard trial and error, and much more likely to yield concrete results. Chapters begin with a "mini case," offering real-world examples of each step in the process. These cases―all featuring entrepreneurs working outside the Silicon Valley bubble―include a meadery operator that turned customers into advocates by designing compelling experiences and the development of a dating app for dog lovers that found a unique niche in a crowded market.
 English | 2019 | ISBN: 1492041130 | 398 pages | True PDF | 9.97 MB To really learn data science, you should not only master the tools-data science libraries, frameworks, modules, and toolkits-but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today's messy glut of data.  English | 2021 | ISBN: 0367628821 | 483 pages | True PDF | 54.07 MB Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured (labeled) and unstructured (unlabeled) data. It is the future of Artificial Intelligence (AI) and a necessity of the future to make things easier and more productive. In simple terms, data science is the discovery of data or uncovering hidden patterns (such as complex behaviors, trends, and inferences) from data. Moreover, Big Data analytics/data analytics are the analysis mechanisms used in data science by data scientists. Several tools, such as Hadoop, R, etc., are used to analyze this large amount of data to predict valuable information and for decision-making. Note that structured data can be easily analyzed by efficient (available) business intelligence tools, while most of the data (80% of data by 2020) is in an unstructured form that requires advanced analytics tools. But while analyzing this data, we face several concerns, such as complexity, scalability, privacy leaks, and trust issues. Data science helps us to extract meaningful information or insights from unstructured or complex or large amounts of data (available or stored virtually in the cloud).Data Science and Data Analytics: Opportunities and Challengescovers all possible areas, applications with arising serious concerns, and challenges in this emerging field in detail with a comparative analysis/taxonomy. |
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