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Computational Actuarial Science with R
A Hands-On Approach to Understanding and Using Actuarial Models Computational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/C++ embedded codes. After an introduction to the R language, the book is divided into four parts. The first one addresses methodology and statistical modeling issues. The second part discusses the computational facets of life insurance, including life contingencies calculations and prospective life tables. Focusing on finance from an actuarial per...
Insurance, Biases, Discrimination and Fairness
This book offers an introduction to the technical foundations of discrimination and equity issues in insurance models, catering to undergraduates, postgraduates, and practitioners. It is a self-contained resource, accessible to those with a basic understanding of probability and statistics. Designed as both a reference guide and a means to develop fairer models, the book acknowledges the complexity and ambiguity surrounding the question of discrimination in insurance. In insurance, proposing differentiated premiums that accurately reflect policyholders' true risk—termed "actuarial fairness" or "legitimate discrimination"—is economically and ethically motivated. However, such segmentation...
Yale Law School and the Sixties
The development of the modern Yale Law School is deeply intertwined with the story of a group of students in the 1960s who worked to unlock democratic visions of law and social change that they associated with Yale's past and with the social climate in which they lived. During a charged moment in the history of the United States, activists challenged senior professors, and the resulting clash pitted young against old in a very human story. By demanding changes in admissions, curriculum, grading, and law practice, Laura Kalman argues, these students transformed Yale Law School and the future of American legal education. Inspired by Yale's legal realists of the 1930s, Yale law students between...
Computational Actuarial Science with R
A Hands-On Approach to Understanding and Using Actuarial ModelsComputational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/
The London of Sherlock Holmes
All serious Sherlock Holmes enthusiasts want to visit London to see the places mentioned in the Great Detective s adventures. The e-book version of See the London of Sherlock Holmes allows enthusiasts to -visit- London from their home computers, or internet connected TVs. This is achieved by hyperlinking the latitude & longitude addresses in the book to the -Street View- feature in Google Maps. The map coordinates are also GPS addresses for those who visit London with hand-held GPS devices. The book groups the 400+ Sherlock Holmes sites by the nearest underground or railway station. Entering GPS addresses after arriving at the station will generate turn-by-turn directions from one Sherlock Holmes site to another. Six walking tour maps are also included. These are not the usual rambling tours, but walks in Holmes and Watsons footsteps. Finally, for those with a statistical bent, the book lists 454 characters named in the book, and statistically analyzes their titles and occupations.
The New Finding Sherlock's London
"...Time, the Blitz, and urban development have taken their toll, but much of what Sherlock 'saw', is still there.... To help find Sherlock's London, Thomas Bruce Wheeler, a London expert, has identified over three hundred sites, placed them in their adventure context, and cross-referenced them by their nearest London Underground Station." -- Cover, p. [4].
A Study in Scarlet
Sherlock Holmes is perhaps the most well-known detective in literary history. His stories are fascinating and timeless. A Study in Scarlet is the first Sherlock Holmes book. Higher Read's Read It. Know It. edition of The Study of Scarlet provides you with an understanding of all of the layers of this book. The original text included in this edition allows you to read the book as Sir Arthur Conan Doyle wrote it, and our content helps you understand the novel more thoroughly. Character and narrative summaries provide you with an at-a-glance reminder of what the original book holds, while our "Read It and Know It" sections explore literary themes in the book. Sherlock Holmes, after all, is in favor of gathering all the information you can. So whether you want to read the whole book, just want a reminder of the story, or are interested in exploring the important themes in The Study of Scarlet, Higher Read's Read It. Know It. edition provides an all-in-one book that's right for you.
Sherlockian Musings
Is Sherlock Holmes really as rational as he seems? He talks about the importance of reasoning and logic, but why then does he sometimes seem like a "strange Buddha"? On the other hand, why in The Sign of the Four does Watson smash a Buddha? What is going on in The Sign of the Four, that strange tale of Empire? What is going on in all the original sixty stories in "the canon"? In this study of the stories, Sheldon Goldfarb explores questions like these, from the significance of the eggs in "Thor Bridge" to the reason Watson keeps leaving Holmes for an insubstantial wife. What meanings lurk beneath the surface of these detective stories? Why is there an obsession with Napoleon in this story or...
Deep Learning
A concise and practical exploration of key topics and applications in data science In Deep Learning, from Big Data to Artificial Intelligence, expert researcher Dr. Stéphane Tufféry delivers an insightful discussion of the applications of deep learning and big data that focuses on practical instructions on various software tools and deep learning methods relying on three major libraries: MXNet, PyTorch, and Keras-TensorFlow. In the book, numerous, up-to-date examples are combined with key topics relevant to modern data scientists, including processing optimization, neural network applications, natural language processing, and image recognition. This is a thoroughly revised and updated edit...
