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Language: English - Education Time: 7 hours and 28 minutes - Level: Elementary, Secondary - Size: 2.72 GB.

Data analysis is one of the leading jobs in the current technology market. As per the forecasts of Glassdoor and World Economic Forum, the demand for data scientists will also increase in the next few years. We are generating huge data every day from different domains like Social Media, Healthcare, Sensor data… we have a great tool to analyze them and the tool is R. R programming is a powerful language used widely for data analysis and statistical computing. It is completely free and has rich repositories for packages.

In this course first, you will learn how to install R and start programming on it. It will also help you to know the programming structures and functions. This R programming in Data Science and Data Analytics covers all the steps of Exploratory data analysis, Data pre-processing, and Modelling process. In EDA sections you will learn how to import data sets and create data frames from it. Then it will help you to visualize the variables using different plots. It will give you an initial structure of your data points. In Data pre-processing sections you will get the full idea of Missing value & outliers treatment and data split methods. Finally, you will be able to generate machine learning models using Linear and Logistic Regression.

This R programming for data science and data analytics is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science!

PLAXIS 2D CONNECT Edition V22 Update 2 [Size: 2.4 GB] ... PLAXIS 2D is a powerful and user friendly finite element package intended for two-dimensional analysis of deformation and stability in geotechnical engineering and rock mechanics. PLAXIS is used worldwide by top engineering companies and institutions in the civil and geotechnical engineering industry. Applications range from excavations, embankment and foundations to tunnelling, mining and reservoir geomechanics.

Cable bolt element: Added cable bolt element and material type to simulate rock reinforcement like grouted cables or frictional/grouted bolts that work mostly in tension/compression. Material definition includes input of bond stiffness and bond strength parameters in line with rock engineering practice. Other capabilities include confining stress dependency and pre-stressing of the element.

Hoek-Brown model improvements: Added tension cut-off and tensile strength parameters to the material parameter input. Safety calculations for Hoek-Brown materials now correctly reduce the tensile strength as well, providing more realistic safety factors.

Simplification of polylines and polygons: Exported CAD files can contain many less relevant intermediate points and lines. Once imported into PLAXIS 2D, these dense geometries will result in overly fine meshes and will slow down. During the import of, for example, geological cross-sections coming from Leapfrog or CAD applications, users can now select the "reduce point density" option to reduce the number of points of polygons or polylines present in the imported file. By reducing the number of points during the import process, the user can optimize the imported geometry for numerical analysis.

Free field boundary improvements: The free field boundaries implementation has been updated for this release offering several improvements. Deformation patterns, particularly along the boundaries, are now consistent with those expected in a far field analysis and there is no longer a need to include drained material columns at the model boundaries when performing an undrained or a partially undrained analysis. Several validation exercises were developed to ensure that the response when using free field BCs is consistent with what is expected from theory of wave propagation, as well as obtained when using other BCs (e.g. tied degrees of freedom).

Removed Academic watermarks: For users of Academic licenses, PLAXIS no longer displays watermarks in Input and Output.

Punit Gupta, Dinesh Kumar Saini, Pradeep Singh Rawat, Kashif Zia ... 268 pages - Language:‎ English - Publisher: ‎Auerbach Publications; (January, 2023).

A new era of complexity science is emerging, in which nature- and bio-inspired principles are being applied to provide solutions. At the same time, the complexity of systems is increasing due to such models like the Internet of Things (IoT) and fog computing. Will complexity science, applying the principles of nature, be able to tackle the challenges posed by highly complex networked systems?

Bio-Inspired Optimization in Fog and Edge Computing: Principles, Algorithms, and Systems is an attempt to answer this question. It presents innovative, bio-inspired solutions for fog and edge computing and highlights the role of machine learning and informatics. Nature- or biological-inspired techniques are successful tools to understand and analyze a collective behavior. As this book demonstrates, algorithms, and mechanisms of self-organization of complex natural systems have been used to solve optimization problems, particularly in complex systems that are adaptive, ever-evolving, and distributed in nature.

The chapters look at ways of enhancingto enhance the performance of fog networks in real-world applications using nature-based optimization techniques. They discuss challenges and provide solutions to the concerns of security, privacy, and power consumption in cloud data center nodes and fog computing networks. The book also examines how: The existing fog and edge architecture is used to provide solutions to future challenges. + A geographical information system (GIS) can be used with fog computing to help users in an urban region access prime healthcare. + An optimization framework helps in cloud resource management. + Fog computing can improve the quality, quantity, long-term viability, and cost-effectiveness in agricultural production. + Virtualization can support fog computing, increase resources to be allocated, and be applied to different network layers. + The combination of fog computing and IoT or cloud computing can help healthcare workers predict and analyze diseases in patients.

Mao-Hung Yo ... 341 pages - Language:‎ English - Publisher: Springer (July, 2023) - AmazonSIN: B0C3PMPR3F.

This book focuses on the unified solutions and analysis for the problems in soil mechanics based on the unified strength theory, which is a new theory on the yield and failure of materials under multi-axial stresses. Then, it provides a system of yield and failure criteria adopted for most materials, from metallic materials to rocks, concretes, soils, polymers, etc. It includes the Tresca criterion, Mohr–Coulomb theory, and Mises criterion as well, which are special cases or linear approximation of the UST.

A. C. Faul ... 334 pages - Language: English - Publisher: Chapman and Hall/CRC; (August, 2019) - AmazonSIN: ‎B07VYV4NLM.

The emphasis of the book is on the question of Why – only if why an algorithm is successful is understood, can it be properly applied, and the results trusted. Algorithms are often taught side by side without showing the similarities and differences between them. This book addresses the commonalities, and aims to give a thorough and in-depth treatment and develop intuition, while remaining concise. This useful reference should be an essential on the bookshelves of anyone employing machine learning techniques.

Franz Kronthaler ... 367 pages - Language: English - Publisher: ‎Springer; (November, 2022) - ISBN-10: 3662643189 - ISBN-13: 978-3662643181.

This book shows you how to analyze data sets systematically and to use Excel 2019 to extract information from data almost effortlessly. Both are (not) an art!

The statistical methods are presented and discussed using a single data set. This makes it clear how the methods build on each other and gradually more and more information can be extracted from the data. The Excel functions used are explained in detail - the procedure can be easily transferred to other data sets. 

Various didactic elements facilitate orientation and working with the book: At the checkpoints, the most important aspects from each chapter are briefly summarized. In the freak knowledge section, more advanced aspects are addressed to whet the appetite for more. All examples are calculated with hand and Excel. Numerous applications and solutions as well as further data sets are available on the author's internet platform.

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