Bøger af Michael Shearer

Funny, poignant and insightful, this is the tale of one man and his young son's Camino during a long hot Summer three decades ago . Walk with Michael and Kes across Spain, as they make an unconventional spiritual voyage of discovery - one of them on the cusp of middle age, the other of young adulthood - an experience that will shape the rest of their lives. Through hardship, blistered feet and the odd glass of wine, leavened by philosophical observations and ancient lore, we are introduced to a fascinating cast of characters plus the odd señorita, sent by a higher power to test the author's resistance to temptation. Even with the lapse of time, some of the author's recollections of the trip can generate an intense emotional reaction, as if they had happened yesterday. A life-enhancing journey for the author and a memorable experience for this particular reader. Surely one of the very best accounts of the Camino experience, and one which may well persuade you to follow in their footsteps.

"Entity resolution is a key analytic technique that enables you to identify multiple data records that refer to the same real-world entity. With this hands-on guide, product managers, data analysts, and data scientists will learn how to add value to data by cleansing, analyzing, and resolving datasets using open source Python libraries and cloud APIs. Author Michael Shearer shows you how to scale up your data matching processes and improve the accuracy of your reconciliations. You'll be able to remove duplicate entries within a single source and join disparate data sources together when common keys aren't available. Using real-world data examples, this book helps you gain practical understanding to accelerate the delivery of real business value. This book covers: challenges in deduplicating and joining datasets; extracting, cleansing, and preparing datasets for matching; text matching algorithms to identify equivalent entities; techniques for deduplicating and joining datasets at scale; matching datasets containing persons and organizations; optimizing and tuning data matching algorithms; entity resolution using cloud APIs; matching using privacy-enhancing technologies. With entity resolution, you'll build rich and comprehensive data assets that reveal relationships for marketing and risk management purposes, key to harnessing the full potential of machine learning and AI."--

An accessible yet rigorous introduction to partial differential equationsThis textbook provides beginning graduate students and advanced undergraduates with an accessible introduction to the rich subject of partial differential equations (PDEs). It presents a rigorous and clear explanation of the more elementary theoretical aspects of PDEs, while also drawing connections to deeper analysis and applications. The book serves as a needed bridge between basic undergraduate texts and more advanced books that require a significant background in functional analysis.Topics include first order equations and the method of characteristics, second order linear equations, wave and heat equations, Laplace and Poisson equations, and separation of variables. The book also covers fundamental solutions, Green's functions and distributions, beginning functional analysis applied to elliptic PDEs, traveling wave solutions of selected parabolic PDEs, and scalar conservation laws and systems of hyperbolic PDEs.Provides an accessible yet rigorous introduction to partial differential equationsDraws connections to advanced topics in analysisCovers applications to continuum mechanicsAn electronic solutions manual is available only to professorsAn online illustration package is available to professors