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In a tumultuous future you may live to see, in a world poised on the brink of an uneasy peace, there will come a time of great discovery. One man's vision of a united earth will collide head-on with the ideals of a civilization so advanced that language has become nearly obsolete and conflict has evolved far beyond the simplicities of weapons and war. In this cataclysmic twilight moment in history, the peoples of our planet must band together towards a higher purpose or be destroyed by the machinations of our own short-sightedness.This is the first exciting adventure of Vladimir Ustinov and his team of scientists and philosophers, as they blaze the way for humankind's seminal encounter with ...
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Mathematical Modelling Skills describes and illustrates a comprehensive range of techniques that need to be mastered by anyone who wishes to carry out mathematical modelling exercises.
A basic introduction to Mathematical Modelling, this book encourages the reader to participate in the investigation of a wide variety of modelling examples. These are carefully paced so that the readers can identify and develop the skills which are required for successful modelling. The examples also promote an appreciation of the enormous range of problems to which mathematical modelling skills can be usefully applied.
In this book, authors Dalton Cervo and Mark Allen show you how to implement Master Data Management (MDM) within your business model to create a more quality controlled approach. Focusing on techniques that can improve data quality management, lower data maintenance costs, reduce corporate and compliance risks, and drive increased efficiency in customer data management practices, the book will guide you in successfully managing and maintaining your customer master data. You'll find the expert guidance you need, complete with tables, graphs, and charts, in planning, implementing, and managing MDM.
This handbook introduces the reader to the theoretical concepts that underpin the finite elements method (FEM). It also covers the application of these concepts to the workable process of machine design.
Sound Systems: Design and Optimization provides an accessible and unique perspective on the behavior of sound systems in the practical world. The third edition reflects current trends in the audio field thereby providing readers with the newest methodologies and techniques. In this greatly expanded new edition, you’ll find clearer explanations, a more streamlined organization, increased coverage of current technologies and comprehensive case studies of the author’s award-winning work in the field. As the only book devoted exclusively to modern tools and techniques in this emerging field, Sound Systems: Design and Optimization provides the specialized guidance needed to perfect your desig...
This software-oriented manual is intended to supplement junior-and senior-level texts on digital signal processing(DSP) and to serve as a visualization aid for concepts that are central to understanding DSP principles.
Did you ever try getting Business and IT to agree on the project scope for a new application? Or try getting the Sales & Marketing department to agree on the target audience? Or try bringing new team members up to speed on the hundreds of tables in your data warehouse -- without them dozing off? You can be the hero in each of these and hundreds of other scenarios by building a High-Level Data Model. The High-Level Data Model is a simplified view of our complex environment. It can be a powerful communication tool of the key concepts within our application development projects, business intelligence and master data management programs, and all enterprise and industry initiatives. Learn about the High-Level Data Model and master the techniques for building one, including a comprehensive ten-step approach. Know how to evaluate toolsets for building and storing your models. Practice exercises and walk through a case study to reinforce your modelling skills.
Learn how to use JupyterLab, Numpy, pandas, Scipy, Matplotlib, and Seaborn for Data science KEY FEATURESÊÊ _ Get familiar with different inbuilt Data structures, Functional programming, and Datetime objects. _ Handling heavy Datasets to optimize the data types for memory management, reading files in chunks, dask, and modin pandas. _ Time-series analysis to find trends, seasonality, and cyclic components. _ Seaborn to build aesthetic plots with high-level interfaces and customized themes. _ Exploratory data analysis with real-time datasets to maximize the insights about data. DESCRIPTIONÊ The book will start with quick introductions to Python and its ecosystem libraries for data science su...