The Strange Case of Dr Jekyll and Mr Hyde

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, __Data Science for Business__ provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. * Understand how data science fits in your organization—and how you can use it for competitive advantage * Treat data as a business asset that requires careful investment if you’re to gain real value * Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way * Learn general concepts for actually extracting knowledge from data * Apply data science principles when interviewing data science job candidates Provides An Introduction To The Fundamental Principles Of Data Science, Walking The Reader Through The Data-analytic Thinking Necessary For Extracting Useful Knowledge And Business Value From Collected Data. Introduction : Data-analytic Thinking -- Business Problems And Data Science Solutions -- Introduction To Predictive Modeling : From Correlation To Supervised Segmentation -- Fitting A Model To Data -- Overfitting And Its Avoidance -- Similarity, Neighbors, And Clusters -- Decision Analytic Thinking I : What Is A Good Model? -- Visualizing Model Performance -- Evidence And Probabilities -- Representing And Mining Text -- Decision Analytic Thinking Ii : Toward Analytical Engineering -- Other Data Science Tasks And Techniques -- Data Science And Business Strategy -- Conclusion. Foster Provost And Tom Fawcett. Subtitle From Cover. Includes Bibliographical References (pages 361-368) And Index. Wszystko co powiniene? wiedzie? o eksploracji danych i my?leniu w kategoriach analityki danych. Wyci?gaj trafne wnioski! "Lektura obowi?zkowa dla ka?dego, kto powa?nie my?li o wykorzystaniu okazji, jakie nios? ze sob? wielkie zbiory danych". - Craig Vaughan, globalny wiceprezes SAP Posiadanie zbiorów danych to po?owa sukcesu. Druga po?owa to umiej?tno?? ich skutecznej analizy i wyci?gania wniosków. Dopiero na tej podstawie b?dziesz w stanie w?a?ciwie oceni? kondycj? Twojej firmy oraz podj?? s?uszne decyzje. Wiedza zawarta w tej ksi??ce mo?e zadecydowa? o sukcesie biznesowym lub pora?ce. Nie Annotation This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. By learning data science principles, you will understand the many data-mining techniques in use today. More importantly, these principles underpin the processes and strategies necessary to solve business problems through data mining techniques