Artículo: AMZ-B0CVX77GMG

Analysis and Visualization of Discrete Data Using Neural Networks

Format:

Kindle

Hardcover

Kindle

Detalles del producto

Disponibilidad
Sin stock

Peso con empaque
0.84 kg

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No

Condición
Nuevo

Producto de
Amazon

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USA

Sobre este producto

This book serves as a comprehensive step-by-step guide on data analysis and statistical analysis. It covers fundamental operations in Excel, such as table components, formula bar, and ribbon, and introduces visualization techniques and PDE derivation using Excel. It also provides an overview of Google Colab, including code and text cells, and explores visualization and deep learning applications.Key features of the book include topics like statistical analysis, regression analysis, optimization, correlation analysis, and neural networks. It adopts a practical approach by providing examples and step-by-step instructions for learners to apply the techniques to real-world problems.The book also highlights the strengths and features of both Excel and Google Colab, allowing learners to leverage the capabilities of each platform. The clear explanations of concepts, visual aids, and code snippets aid comprehension help learners understand the principles of data analysis and statistical analysis. Overall, this book serves as a valuable resource for professionals, researchers, and students seeking to develop skills in data analysis, regression statistics, optimization, and advanced modeling techniques using Excel, Colab, and neural networks. Readership: The book is primarily intended for readers in the fields of data analysis, statistics, and applied mathematics. The target readership includes professionals, researchers, and students in both academia and industry. Discipline/Profession: Data analysts, Statisticians, Mathematicians, Researchers in applied sciences and engineering, Graduate and Undergraduate students in data analysis, statistics, and applied mathematics.