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  Author: creativelivenew1   |   27 September 2023   |   comments: 0
Mainstreaming Cryptocurrency and the Future of Digital Finance
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by Taherdoost Hamed

English | 2023 | ISBN: 1668483688 | 350 pages | True PDF EPUB | 20.06 MB
Money is no longer limited to physical currency or credit and debit cards; however, cryptocurrencies are emerging due to recent technological advancements. Financial markets have been revolutionized as a result of innovative technological trends. It seems that there is no way to evade embracing new trends in the financial markets; without them, we will be destined to fail. Mainstreaming Cryptocurrency and the Future of Digital Finance provides an overview of the advantages and disadvantages of current cryptocurrency-based payment methods aiming to leverage technology to create better financial services in different businesses. The book also discusses fintech, the cryptocurrency market, trading tips and techniques, brokers and how they work, digital wallets, analytical tools to pick cryptocurrencies, and risk management methods to leverage a secure investment in cryptocurrencies. Covering key topics such as digital money, trading, and financial technologies, this premier reference source is ideal for managers, business owners, industry professionals, researchers, academicians, scholars, instructors, and students.

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  Author: creativelivenew1   |   27 September 2023   |   comments: 0
Magnetics, Dielectrics, and Wave Propagation with MATLAB® Codes, 2nd Edition
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by Carmine Vittoria

English | 2023 | ISBN: 1032555688 | 493 pages | True PDF | 20.21 MB
Future microwave, wireless communication systems, computer chip designs, and sensor systems will require miniature fabrication processes in the order of nanometers or less as well as the fusion of various material technologies to produce composites consisting of many different materials. This requires distinctly multidisciplinary collaborations, implying that specialized approaches will not be able to address future world markets in communication, computer, and electronic miniaturized products.

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  Author: creativelivenew1   |   27 September 2023   |   comments: 0
Machine Learning in Pure Mathematics and Theoretical Physics
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by Yang-Hui He

English | 2023 | ISBN: 1800613695 | 418 pages | True PDF | 32.41 MB
The juxtaposition of "machine learning" and "pure mathematics and theoretical physics" may first appear as contradictory in terms. The rigours of proofs and derivations in the latter seem to reside in a different world from the randomness of data and statistics in the former. Yet, an often under-appreciated component of mathematical discovery, typically not presented in a final draft, is experimentation: both with ideas and with mathematical data. Think of the teenage Gauss, who conjectured the Prime Number Theorem by Descriptionting the prime-counting function, many decades before complex analysis was formalized to offer a proof. Can modern technology in part mimic Gauss's intuition? The past five years saw an explosion of activity in using AI to assist the human mind in uncovering new mathematics: finding patterns, accelerating computations, and raising conjectures via the machine learning of pure, noiseless data. The aim of this book, a first of its kind, is to collect research and survey articles from experts in this emerging dialogue between theoretical mathematics and machine learning. It does not dwell on the well-known multitude of mathematical techniques in deep learning, but focuses on the reverse relationship: how machine learning helps with mathematics. Taking a panoramic approach, the topics range from combinatorics to number theory, and from geometry to quantum field theory and string theory. Aimed at PhD students as well as seasoned researchers, each self-contained chapter offers a glimpse of an exciting future of this symbiosis.

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  Author: creativelivenew1   |   27 September 2023   |   comments: 0
Machine Learning for Emotion Analysis in Python Build AI–powered tools for analyzing emotion using natural language processing
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by Ramsay, Allan;Ahmad, Tariq;

English | 2023 | ISBN: 1803240687 | 334 pages | True PDF | 26.15 MB
Kickstart your emotion analysis journey with this step-by-step guide to data science success

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  Author: creativelivenew1   |   27 September 2023   |   comments: 0
Machine Learning Toolbox for Social Scientists Applied Predictive Analytics with R
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by Aydede, Yigit;

English | 2024 | ISBN: 1032463953 | 601 pages | True PDF EPUB | 38.87 MB
Machine Learning Toolbox for Social Scientists covers predictive methods with complementary statistical "tools" that make it mostly self-contained. The inferential statistics is the traditional framework for most data analytics courses in social science and business fields, especially in Economics and Finance. The new organization that this book offers goes beyond standard machine learning code applications, providing intuitive backgrounds for new predictive methods that social science and business students can follow. The book also adds many other modern statistical tools complementary to predictive methods that cannot be easily found in "econometrics" textbooks: nonparametric methods, data exploration with predictive models, penalized regressions, model selection with sparsity, dimension reduction methods, nonparametric time-series predictions, graphical network analysis, algorithmic optimization methods, classification with imbalanced data, and many others. This book is targeted at students and researchers who have no advanced statistical background, but instead coming from the tradition of "inferential statistics". The modern statistical methods the book provides allows it to be effectively used in teaching in the social science and business fields.

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  Author: creativelivenew1   |   27 September 2023   |   comments: 0
MRI Connecting the Dots A start to concepts
Free Download MRI: Connecting the Dots: A start to concepts
by Dee Wu

English | 2023 | ISBN: 0750312858 | 303 pages | True PDF EPUB | 78.56 MB
The purpose of this book is to provide a conceptual approach to understanding the basics of MRI. This book develops materials along a clinical perspective along with a technological examination of how MRI works. Radiology residents, technologists, and technical sales specialists who want to understand the goals of clinical scanners will find this book useful. This book further supports application-oriented MRI objectives of MP3.0 for MRI scientists., medical physicists, and biomedical engineers. MRI concepts and practices have developed enormously over the last 30 years, and this book provides readers with a start to up-to-date overview of current techniques and practices. Part of IPEM-IOP Series in Physics and Engineering in Medicine and Biology.

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  Author: creativelivenew1   |   27 September 2023   |   comments: 0
MKTG5, 5th Edition
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by Lamb Jr., Charles W.;Hair, Joe F.;McDaniel, Carl;

English | 2023 | ISBN: 0170453936 | 406 pages | True PDF | 33.19 MB
MKTG5 offers a unique blended learning solution for instructors and students in introductory marketing subjects, in the university and vocational sectors.

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  Author: creativelivenew1   |   27 September 2023   |   comments: 0
MGMT5, 5th Edition
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by Williams, Chuck;McWilliams, Alan;Lawrence, Rob;

English | 2023 | ISBN: 0170459586| 468 pages | True PDF | 25.62 MB
Designed to support blended delivery, MGMT5 combines an easy-reference textbook with tear-out chapter review cards and an innovative digital experience available in the optional MindTap eLearning platform.

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  Author: creativelivenew1   |   27 September 2023   |   comments: 0
MCA Microsoft Certified Associate Azure Data Engineer Study Guide Exam DP–203
Free Download MCA Microsoft Certified Associate Azure Data Engineer Study Guide
by Perkins, Benjamin;

English | 2023 | ISBN: 1119885426 | 1008 pages | True EPUB/pdf | 37/84.93 MB
Prepare for the Azure Data Engineering certification―and an exciting new career in analytics―with this must-have study aide In the MCA Microsoft Certified Associate Azure Data Engineer Study Exam DP-203 , accomplished data engineer and tech educator Benjamin Perkins delivers a hands-on, practical guide to preparing for the challenging Azure Data Engineer certification and for a new career in an exciting and growing field of tech. In the book, you'll explore all the objectives covered on the DP-203 exam while learning the job roles and responsibilities of a newly minted Azure data engineer. From integrating, transforming, and consolidating data from various structured and unstructured data systems into a structure that is suitable for building analytics solutions, you'll get up to speed quickly and efficiently with Sybex's easy-to-use study aids and tools. This Study Guide also A one-of-a-kind study aid designed to help you get straight to the crucial material you need to succeed on the exam and on the job, the MCA Microsoft Certified Associate Azure Data Engineer Study Exam DP-203 belongs on the bookshelves of anyone hoping to increase their data analytics skills, advance their data engineering career with an in-demand certification, or hoping to make a career change into a popular new area of tech.

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  Author: creativelivenew1   |   27 September 2023   |   comments: 0
M–Statistics  Optimal Statistical Inference for a Small Sample
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by Demidenko, Eugene;

English | 2023 | ISBN: 1119891795 | 240 pages | True EPUB/pdf | 16.51/8 MB
M-STATISTICS A comprehensive resource providing new statistical methodologies and demonstrating how new approaches work for applications M-statistics introduces a new approach to statistical inference, redesigning the fundamentals of statistics, and improving on the classical methods we already use. This book targets exact optimal statistical inference for a small sample under one methodological umbrella. Two competing approaches are maximum concentration (MC) and mode (MO) statistics combined under one methodological umbrella, which is why the symbolic equation M=MC+MO. M-statistics defines an estimator as the limit point of the MC or MO exact optimal confidence interval when the confidence level approaches zero, the MC and MO estimator, respectively. Neither mean nor variance plays a role in M-statistics theory. Novel statistical methodologies in the form of double-sided unbiased and short confidence intervals and tests apply to major statistical Our new developments are accompanied by respective algorithms and R codes, available at GitHub, and as such readily available for applications. M-statistics is suitable for professionals and students alike. It is highly useful for theoretical statisticians and teachers, researchers, and data science analysts as an alternative to classical and approximate statistical inference.

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