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Summary for Tilburg University's Deep Learning course (academic year 2019-2020). All 6 lectures are discussed: introduction, Multi-Layer Perceptron, Convolutional Neural Networks, Optimizers and Regularization, Sequence Modeling and Generative Models.

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Summary for Tilburg University's Deep Learning course (academic year 2019-2020). All 6 lectures are discussed: introduction, Multi-Layer Perceptron, Convolutional Neural Networks, Optimizers and Regularization, Sequence Modeling and Generative Models.

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This is the elaborate summary of the IT modeling & economics given at the VUB. It covers all the classes of both IT modeling and IT economics.

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- • 135 pages •

This is the elaborate summary of the IT modeling & economics given at the VUB. It covers all the classes of both IT modeling and IT economics.

MATHEMATICAL MODELING Models, Analysis and Applications

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MATHEMATICAL MODELING Models, Analysis and Applications

Lecture on Counseling Technique-Modeling

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Lecture on Counseling Technique-Modeling

1. Which of the following does not represent a broad class of applications of linear programming models? a. Blending models b. Financial portfolio models c. Logistics models d. Set covering models e. Forecasting models ANS: E PTS: 1 MSC: AACSB: Analytic 2. Many organizations must determine how to schedule employees to provide adequate service. If we assume that an organization faces the same situation each week, this is referred to as a. static scheduling problem b. dynamic scheduling problem c...

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1. Which of the following does not represent a broad class of applications of linear programming models? a. Blending models b. Financial portfolio models c. Logistics models d. Set covering models e. Forecasting models ANS: E PTS: 1 MSC: AACSB: Analytic 2. Many organizations must determine how to schedule employees to provide adequate service. If we assume that an organization faces the same situation each week, this is referred to as a. static scheduling problem b. dynamic scheduling problem c...

Week 8 Module 7 (L10-19) Knowledge Checks 2020 SIMULATION AND MODELING FOR ENGINEERING.

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Week 8 Module 7 (L10-19) Knowledge Checks 2020 SIMULATION AND MODELING FOR ENGINEERING.

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An overview of information as presented in Chapter 13: Modeling Compositionality from Kroeger, Paul. 2019. Analyzing meaning: An introduction to Semantics and Pragmatics. Second corrected and slightly revised edition. (Textbooks in Language Sciences 5). Used in Linguistics BA Second Year at University of Amsterdam.

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An overview of information as presented in Chapter 13: Modeling Compositionality from Kroeger, Paul. 2019. Analyzing meaning: An introduction to Semantics and Pragmatics. Second corrected and slightly revised edition. (Textbooks in Language Sciences 5). Used in Linguistics BA Second Year at University of Amsterdam.

This is a summary of the book Building Information Modeling: Technology Foundations and Industry Practice, written by André Borrmann. The summary is part of the course: Real Estate, Urban Development and Information Management. It contains the most important information you need to know for the BIM final exam.

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This is a summary of the book Building Information Modeling: Technology Foundations and Industry Practice, written by André Borrmann. The summary is part of the course: Real Estate, Urban Development and Information Management. It contains the most important information you need to know for the BIM final exam.

Step-by-Step Financial Modeling Guide. Main sections included in the presentation: 1) Input of Historicals and Assumptions 2) Build the 3 Main Financial Statements (Income Statement, Balance Sheet and Cash Flow Statement) 3) Build the Supporting Schedules (Working Capital, Depreciation, Debt and Equity) 4) Perform DCF & Sensitivity Analysis This guide provides an overview on how to build an operating model from scratch in order to perform DCF & Sensitivity Analysis. Very useful for those who ...

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- • 91 pages •

Step-by-Step Financial Modeling Guide. Main sections included in the presentation: 1) Input of Historicals and Assumptions 2) Build the 3 Main Financial Statements (Income Statement, Balance Sheet and Cash Flow Statement) 3) Build the Supporting Schedules (Working Capital, Depreciation, Debt and Equity) 4) Perform DCF & Sensitivity Analysis This guide provides an overview on how to build an operating model from scratch in order to perform DCF & Sensitivity Analysis. Very useful for those who ...

1. Which of the following statements is true regarding a simulation model? a. It explicitly models decision-making under uncertainty b. It explicitly incorporates uncertainty in one or more input variables c. It provides probability distributions for all outputs, rather than expected values d. All of these options ANS: B PTS: 1 MSC: AACSB: Analytic 2. Each different set of values obtained for the uncertain quantities in a simulation model can considered to be: a. the mean of the probability dis...

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1. Which of the following statements is true regarding a simulation model? a. It explicitly models decision-making under uncertainty b. It explicitly incorporates uncertainty in one or more input variables c. It provides probability distributions for all outputs, rather than expected values d. All of these options ANS: B PTS: 1 MSC: AACSB: Analytic 2. Each different set of values obtained for the uncertain quantities in a simulation model can considered to be: a. the mean of the probability dis...

Summary of Digital Methods at UGent from the year 2019-2020. Written in English but with clarifications for difficult words in Dutch. Complete with all theory and the lectures on Natural Language Processing (NLP), Social Network Analysis (SNA), Predictive Modeling and Big data and Ethics. Very clear and structured, easy to find definitions and theory. All examples made in class are included in this summary to make it easier to understand the theory. Also very useful for the online exam (it's op...

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Summary of Digital Methods at UGent from the year 2019-2020. Written in English but with clarifications for difficult words in Dutch. Complete with all theory and the lectures on Natural Language Processing (NLP), Social Network Analysis (SNA), Predictive Modeling and Big data and Ethics. Very clear and structured, easy to find definitions and theory. All examples made in class are included in this summary to make it easier to understand the theory. Also very useful for the online exam (it's op...