What is data_science_by_khawar_shehzad

Editor's Notes

• #2: Be specific and direct in the title. Use the subtitle to give the specific context of the speech. -The goal should be to capture the audience’s attention which can be done with a quote, a startling statistic, or fact. It is not necessary to include this attention getter on the slide.
• #4: Fisher: ANOVA (analysis of variance: a collection of statistical models, used to analyze the differences among group means and their associated procedures (such as "variation" among and between groups)), Fisher’s exact test. Also credited with quote “correlation does not imply causation” – lifetime pipe smoker, he derided papers showing a link between smoking and cancer. Deming – quality control – statistical sampling Luhn – indexing, IR principles – use text and data to inform Business Decisions Tukey – exploratory data analsysis – led to S, S+ and R Howard Dresner – modern proponent of BI Tom Mitchell’s ML book – still a best-seller Fourth Paradigm – data driven scientific discovery – inspired by Jim Gray’s work at MSR. His primary research interests are in databases and transaction processing systems -- with particular focus on using computers to make scientists more productive. He and his group are working in the areas of astronomy, geography, hydrology, oceanography, biology, and health care. Other scientific discovery paradigms: empiricism, analysis and simulation Google Inc  alphabet Inc. Google began in January 1996 as a research project by Larry Page and Sergey Brin when they were both PhD students at Stanford University in Stanford, California.[33] Peter Norvig – simple models + lots of data > complex models Data Deluge – exponential growth in data volume, the Economist 2010, Businesses, governments and society are only starting to tap its vast potential