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New Releases by Ivo Ivo is the author of Scorpio Witch (2024), Libra Witch (2024), Why So Easily . . . Some Family Reasons for the Velvet Revolution (2023), Network Automation Made Easy (2021), Armed Conflict and Human Rights Law (2021).
release date: Mar 08, 2024
release date: Feb 08, 2024
Why So Easily . . . Some Family Reasons for the Velvet Revolution
release date: Apr 01, 2023
Network Automation Made Easy
release date: Nov 04, 2021
Armed Conflict and Human Rights Law
release date: Jul 29, 2021
release date: Mar 18, 2021
The Social Practice of Symbolisation
release date: Mar 10, 2021
Introduction to Lorentz Geometry
release date: Jan 05, 2021
The Four Elements of the Wise
release date: Jan 01, 2021
release date: Jul 10, 2019
The Territorial Dimension Of Politics
release date: Jul 09, 2019
release date: May 28, 2019
Julia 1.0 Programming Complete Reference Guide
release date: May 20, 2019
release date: Jan 01, 2019
Data Science and Predictive Analytics
release date: Aug 27, 2018
Over the past decade, Big Data have become ubiquitous in all economic sectors, scientific disciplines, and human activities. They have led to striking technological advances, affecting all human experiences. Our ability to manage, understand, interrogate, and interpret such extremely large, multisource, heterogeneous, incomplete, multiscale, and incongruent data has not kept pace with the rapid increase of the volume, complexity and proliferation of the deluge of digital information. There are three reasons for this shortfall. First, the volume of data is increasing much faster than the corresponding rise of our computational processing power (Kryder’s law u003e Moore’s law). Second, traditional discipline-bounds inhibit expeditious progress. Third, our education and training activities have fallen behind the accelerated trend of scientific, information, and communication advances. There are very few rigorous instructional resources, interactive learning materials, and dynamic training environments that support active data science learning. The textbook balances the mathematical foundations with dexterous demonstrations and examples of data, tools, modules and workflows that serve as pillars for the urgently needed bridge to close that supply and demand predictive analytic skills gap. Exposing the enormous opportunities presented by the tsunami of Big data, this textbook aims to identify specific knowledge gaps, educational barriers, and workforce readiness deficiencies. Specifically, it focuses on the development of a transdisciplinary curriculum integrating modern computational methods, advanced data science techniques, innovative biomedical applications, and impactful health analytics. The content of this graduate-level textbook fills a substantial gap in integrating modern engineering concepts, computational algorithms, mathematical optimization, statistical computing and biomedical inference. Big data analytic techniques and predictive scientific methods demand broad transdisciplinary knowledge, appeal to an extremely wide spectrum of readers/learners, and provide incredible opportunities for engagement throughout the academy, industry, regulatory and funding agencies. The two examples below demonstrate the powerful need for scientific knowledge, computational abilities, interdisciplinary expertise, and modern technologies necessary to achieve desired outcomes (improving human health and optimizing future return on investment). This can only be achieved by appropriately trained teams of researchers who can develop robust decision support systems using modern techniques and effective end-to-end protocols, like the ones described in this textbook. • A geriatric neurologist is examining a patient complaining of gait imbalance and posture instability. To determine if the patient may suffer from Parkinson’s disease, the physician acquires clinical, cognitive, phenotypic, imaging, and genetics data (Big Data). Most clinics and healthcare centers are not equipped with skilled data analytic teams that can wrangle, harmonize and interpret such complex datasets. A learner that completes a course of study using this textbook will have the competency and ability to manage the data, generate a protocol for deriving biomarkers, and provide an actionable decision support system. The results of this protocol will help the physician understand the entire patient dataset and assist in making a holistic evidence-based, data-driven, clinical diagnosis. • To improve the return on investment for their shareholders, a healthcare manufacturer needs to forecast the demand for their product subject to environmental, demographic, economic, and bio-social sentiment data (Big Data). The organization’s data-analytics team is tasked with developing a protocol that identifies, aggregates, harmonizes, models and analyzes these heterogeneous data elements to generate a trend forecast. This system needs to provide an automated, adaptive, scalable, and reliable prediction of the optimal investment, e.g., R&D allocation, that maximizes the company’s bottom line. A reader that complete a course of study using this textbook will be able to ingest the observed structured and unstructured data, mathematically represent the data as a computable object, apply appropriate model-based and model-free prediction techniques. The results of these techniques may be used to forecast the expected relation between the company’s investment, product supply, general demand of healthcare (providers and patients), and estimate the return on initial investments.
Soft Commutation Isolated DC-DC Converters
release date: Aug 27, 2018
Learn Red – Fundamentals of Red
release date: May 18, 2018
release date: Nov 08, 2017
release date: Mar 16, 2017
TypeScript: Modern JavaScript Development
release date: Dec 22, 2016
release date: Jul 28, 2016
Predictable and Avoidable
release date: Apr 08, 2016
release date: Jan 01, 2016
Practical Astrology for Witches and Pagans
release date: Jan 01, 2016
The National Question in Yugoslavia
release date: Aug 11, 2015
Getting Started with Julia
release date: Feb 26, 2015
release date: Jan 01, 2015
release date: Feb 01, 2014
release date: Jan 01, 2014
release date: Dec 11, 2013
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