PPT-Trade-offs in Explanatory

Model Learning  DCAP Meeting Madalina Fiterau 22 nd of February 2012 1 Outline Motivation need for interpretable models Overview of data analysis tools Model evaluation accuracy . The tip-offs report sent to the company will indicate the level of anonymity selected by you. The information provided to Pioneer will be sanitised, meaning: Your identity or any distinguishing deta What is Informative/Explanatory Writing?. Informative/Explanatory writing . is nonfiction writing about a topic. . Informative/Explanatory writing. gives facts and information, explains how to do something, or tells readers about real people and events.. EXPLANATORY MEMORANDUM ON INTRODUCTION OF ANCILLARY SERVICES IN INDIABACKGROUND: Ancillary services Power systems require ancillary services to maintain reliability and support their primary functio In: 13. th. International Conference on Extending Database Technology (EDBT). 2010.. Christoph Lofi, . lofi@ifis.cs.tu-bs.de . Ulrich Güntzer, ulrich.guentzer@informatik.uni-tuebingen.de . Wolf-Tilo . spin-off . bedrijven. , . mythe. en . werkelijkheid. Paul . Bijleveld. Datum: 8 december 2014. De ondernemende universiteit. Grote verwachtingen en uitdagingen op de werkvloer. Uitspraken uit VS creëren hoge verwachtingen bij bestuurders:. Model Learning . DCAP Meeting. Madalina Fiterau. 22. nd. of February 2012. 1. Outline. Motivation: need for interpretable models. Overview of data analysis tools. Model evaluation – accuracy . Many items that we use today, originally come from technologies that are used in space. These are space spin-offs.. By Mrs. Dixon’s Class. Memory foam. What space technology did it come from: crash protection . Explanatory Writing requires you to examine and convey complex ideas, concepts and information clearly and accurately. . The purpose of this type of writing is to . demonstrate. comprehension of a topic, concept, process, or procedure. . Maintaining Focus. Using DRAPES for Elaboration. Grade 11. Copyright © 2014 Write Score LLC. Support an Explanatory . E. ssay. Topic: On becoming a writer. . D – dialogue (quotation) find a source . V. ariations. Interactions. When the effect of one explanatory variable on the dependent variable depends on the value of another explanatory variable. The “trick”: Introduce the product of the two as a new artificial explanatory variable. ANOVA. More than one categorical explanatory variable. STA305 Spring 2014. See last slide for copyright information. Optional Background Reading. Chapter 7 of . Data analysis with SAS. 2. Factorial ANOVA. STA211/442 Fall 2012. See last slide for copyright information. Suggested Reading. Davison’s . Statistical Models. , Chapter 8. The general mixed linear model is defined in Section 9.4, where it is first applied.. Simultaneous Equation Models – Demand and Supply. Demand and Supply Models. Justifying the Reduced Form (RF) Estimation Procedure. An Example: The Market for Beef. Endogenous versus Exogenous Variables. Model Learning . DCAP Meeting. Madalina Fiterau. 22. nd. of February 2012. 1. Outline. Motivation: need for interpretable models. Overview of data analysis tools. Model evaluation – accuracy .