PPT-Good data structure experiments are
Author : pamella-moone | Published Date : 2018-03-13
rare Trevor Brown Technion slides at httptbrownpro Why do we perform experiments To answer questions about data structures Is one data structure faster than another
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Good data structure experiments are: Transcript
rare Trevor Brown Technion slides at httptbrownpro Why do we perform experiments To answer questions about data structures Is one data structure faster than another Why We are asking about algorithmic differences. The tradeoff between internal and external validity. Natural sciences. In natural sciences, most experiments have been undertaken in carefully controlled laboratory conditions. Seeking laws of physics, etc.. Listening . to the Customers, not to the . HiPPO. Ronny Kohavi, . General Manager. Experimentation Platform, Microsoft. ronnyk@microsoft.com. . The Analytics . Revolution, Apr 2010. , . SDForum. 2. Amazon . . True Experiments. Characteristics. Threats to validity controlled by experiments. Threats not controlled by experiments. Obstacles to true experiments in the field. . Quasi-experiments. The logic of quasi-experiments . Unconscious Behavior. Criteria: . Real problem. Relevant to food (health). Actionable. Best method. Best journal. Method: . Pediatrician office flu/cold patients. 2x2: . teasp. vs. . tblsp. ; kid vs. no kid. www.educationforum.co.uk. General Principles. There are social laws and social facts to be uncovered through the scientific research of the objective researcher. Once data is shown to be reliable (repeatable) it becomes a social fact. Ronny Kohavi, . GM, Experimentation Platform, Microsoft. Slides available at . http://exp-platform.com. Part 1. 2. Amazon . Shopping Cart . Recs. Add an item to your shopping cart at a website. Most sites show the cart. By. Ajinkya. . Thorve. Introduction. Advancement of tracking technologies has lead to increased data collection.. Collected data used, sold and resold for serving targeted advertisements.. Serious privacy concern!. Overview. Causal effects. Debates to be considered. Experimental vs. non-experimental. Field vs. laboratory experiments. Structural vs. reduced form. Key dimensions of the debate. Generalizability. Control and feasibility. Ronny Kohavi, Microsoft. Slides available at . http://exp-platform.com. Part 1. 2. Amazon . Shopping Cart . Recs. Add an item to your shopping cart at a website. Most sites show the cart. At Amazon, Greg Linden had the idea of showing recommendations based on cart items. PPAP Meeting. Birmingham. 15 July 2009. Elisabeth Falk. University of Sussex. Def. current: running or under construction. Outline. Neutrino-oscillation experiments:. what to measure, and how. Accelerator-based experiments. Margherita. . Polacci. F. . Arzilli, G. La Spina, N. Le . Gall. , . R. . Torres-. Orozco. , M. E. . Hartley. , D. Di Genova, . R. . C. . Atwood. , E. . W. . . Llewellin. , . R. . . Brooker. , H. M. . . Margaret Rees. Reader Emeritus in Reproductive Medicine, University of Oxford. Visiting Professor, University of Glasgow, . Karolinska. Institute and University of Turku. Adjunct Associate Professor. Quantitative Engineering Approaches. What do we know?. How do we design experiments and scale ?. Implications. Nothing except parameters we can vary. Statistical Experimental Design . Lots of experiments at all scales. Bradley Jones. Distinguished Research Fellow. JMP Division/SAS. Outline. Introduction. Textbook Designs – restrictions and limitations. Examples of Computer Generated Designs. When the region of interest is not regular.
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