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“…Y la comunicación es una parte inherente a cualquier investigación, sea cual sea la fase en la que se encuentre el autor (grado, máster, doctorando o investigador consolidado). Comunicar correctamente un trabajo científico influye en su credibilidad, su alcance o sus posibilidades de obtener financiación, ya que determinará el grado de percepción de su utilidad. …”

“…This book contains a specially curated collection of recent research articles on the modeling and simulation of energy systems written by top experts around the world from universities and research labs, such as Massachusetts Institute of Technology, Yale University, Norwegian University of Science and Technology, National Energy Technology Laboratory of the US Department of Energy, University of Technology Sydney, McMaster University, Queens University, Purdue University, the University of Connecticut, Technical University of Denmark, the University of Toronto, Technische Universität Berlin, Texas A&M, the University of Pennsylvania, and many more. …”

“…A complete guide on using data structures and algorithms to write sophisticated C# code About This Book Master array, set and map with trees and graphs, among other fundamental data structures Delve into effective design and implementation techniques to meet your software requirements Explore illustrations to present data structures and algorithms, as well as their analysis in a clear, visual manner. …”

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“…What You Will Learn Become familiar with the basics of the TensorFlow machine learning library Get to know Linear Regression techniques with TensorFlow Learn SVMs with hands-on recipes Implement neural networks and improve predictions Apply NLP and sentiment analysis to your data Master CNN and RNN through practical recipes Take TensorFlow into production In Detail TensorFlow is an open source software library for Machine Intelligence. …”

Tabla de Contenidos: “…Order of operations -- Summary -- Knowledge check -- Part 2: Mastering the Exam -- Chapter 6: Connecting to and Preparing Data -- Technical requirements -- Creating live data connections and extracts -- Live versus extracted connections -- Creating a live data connection -- Creating an extracted data connection and local data source -- Creating and managing the data model -- Managing data properties -- Unions in Tableau Desktop and join basics -- Unions -- Join basics -- Summary -- Knowledge check -- Chapter 7: Understanding and Creating Fundamental Charts in Tableau -- Technical requirements -- Creating fundamental charts -- Bar chart -- Crosstab (text table) -- Highlight table (also known as a heat map) -- Stacked bar chart -- Line chart -- Area chart -- Scatter plot -- Dual-axis chart -- Filled map -- Point maps -- Density maps -- Summary -- Knowledge check -- Chapter 8: Data Organization and Worksheet Analytics -- Technical requirements -- Organizing data -- Grouping data -- Creating hierarchies -- Working with sets -- Applying analytics at the worksheet level -- Managing manual/computed sorting -- Dynamic sorting -- Adding reference lines -- Reference line instructions -- Working with basic table calculations -- Basic table calculation instructions -- Understanding the basics of parameters -- Creating bins and histograms -- Instructions for creating a bin and a histogram -- Summary -- Knowledge check -- Chapter 9: Sharing Insights -- Technical requirements -- Formatting a visualization for presentation -- Using colors from the Marks card -- Configuring fonts -- Formatting marks as shapes -- Configuring visualization animations -- Changing the size of marks -- Showing and hiding legends -- Creating and modifying a simple dashboard -- Dashboard pre-work -- Viewing and sharing workbook data -- Sharing a workbook as a file or on a server…”