Homicide detective Harry Stark takes a twisting path to solve a million-dollar jewel robbery and murder, a path that leads him to a mob connection, an insurance scam and a depraved family. Meanwhile, his girlfriend, Detective Mary Weems, is on a similarly tortuous path toward solving a cold case of a rape-murder that brings her into contact with another depraved family.
A brilliant young geologist is bludgeoned to death after his firm reports a mammoth gold find. Homicide detective Harry Stark must determine whether the man was killed because he was going to expose the report as a fake, or did a twisted romantic affair lead to his murder?
Young, successful men with unblemished reputations—each of them living a contented, "normal" life—are being murdered, one month apart. The killings seem to be unconnected, but are they? Are there dark secrets in the dead men’s pasts? Homicide Detective Harry Stark has to untangle the mystery of the links among these men in a case that takes him and his partner, Noel Harris, on a tortuous and deadly trip into the world of shadows.
THE BODY WAS SLUMPED over the desk. Blood ran like a crimson ribbon down both sides of the neck from a tear in the scalp somewhere in the occipital region above the hairline. You couldn’t see the wound, and you couldn’t tell that the skull was crushed beneath the ruptured skin..." So begins Undercut, a murder mystery set in east-end Toronto. A young geologist, Chris Andrews, has been murdered in his own office, and homicide detective Harry Stark, who has been wrestling with demons of his own, including the accidental shooting of a young witness at the scene of a robbery, is assigned to the case. A cast of varied characters peoples this novel, from the former Canadian sailor named Chilly who is found with the murdered man’s wallet, to the slimy stock manipulator Martineri, to Andrews’ wife, associates and friends. All of them are suspects in this well-structured whodunit with a wonderfully surprising solution.
Arguably the most capable of all the open source databases, PostgreSQL is an object-relational database management system that--until now--lacked comprehensive, easy-to-use documentation. Practical PostgreSQL is a fast-paced guide that shows you how to get PostgreSQL installed, configured, and running. This comprehensive book delves into the many advanced features of the PostgreSQL Application Server, LXP, including the the use of SQL within PostgreSQL, and covers basic PostgreSQL database administration.
This book is a biography of Frank Worsley, without doubt one of New Zealand's greatest, but largely unsung adventuring heroes. Born in Akaroa he went to sea as a teenager in 1888 on the sailing ships plying their trade between New Zealand and England. But the greatest adventure of his life began when he became the captain of Sir Ernest Shackleton's ship Endurance, which was trapped in pack ice on the 1914-1916 Antarctic expedition and slowly crushed. The crew of 28 spent over a year camped on the Antarctic ice before Shackleton, Worsley and four others sailed a tiny lifeboat across the wild Southern Ocean to South Georgia to summon help for the rest of the men, who were all eventually rescued. This 17-day journey remains one of the greatest ever feats of seamanship and relied totally on Worsley's brilliant navigation. Worsley was more than just Shackleton's captain however. For the rest of his life he continued to seek adventures in a manner contemporaries described as 'fearless', being decorated for bravery in both world wars, and continuing to captain ships all around the world.This is a revision of John Thomson's 1998 book Shackleton's Captain and features new information and illustrations to refresh a story that deserves to be retold for future generations. The story of this proud New Zealander's remarkable approach to life, far from home, will inspire young men and women who dare to lift their gaze above the ordinary.
Gain expert guidance on how to successfully develop machine learning models in Python and build your own unique data platforms Key FeaturesGain a full understanding of the model production and deployment processBuild your first machine learning model in just five minutes and get a hands-on machine learning experienceUnderstand how to deal with common challenges in data science projectsBook Description Where there’s data, there’s insight. With so much data being generated, there is immense scope to extract meaningful information that’ll boost business productivity and profitability. By learning to convert raw data into game-changing insights, you’ll open new career paths and opportunities. The Data Science Workshop begins by introducing different types of projects and showing you how to incorporate machine learning algorithms in them. You’ll learn to select a relevant metric and even assess the performance of your model. To tune the hyperparameters of an algorithm and improve its accuracy, you’ll get hands-on with approaches such as grid search and random search. Next, you’ll learn dimensionality reduction techniques to easily handle many variables at once, before exploring how to use model ensembling techniques and create new features to enhance model performance. In a bid to help you automatically create new features that improve your model, the book demonstrates how to use the automated feature engineering tool. You’ll also understand how to use the orchestration and scheduling workflow to deploy machine learning models in batch. By the end of this book, you’ll have the skills to start working on data science projects confidently. By the end of this book, you’ll have the skills to start working on data science projects confidently. What you will learnExplore the key differences between supervised learning and unsupervised learningManipulate and analyze data using scikit-learn and pandas librariesUnderstand key concepts such as regression, classification, and clusteringDiscover advanced techniques to improve the accuracy of your modelUnderstand how to speed up the process of adding new featuresSimplify your machine learning workflow for productionWho this book is for This is one of the most useful data science books for aspiring data analysts, data scientists, database engineers, and business analysts. It is aimed at those who want to kick-start their careers in data science by quickly learning data science techniques without going through all the mathematics behind machine learning algorithms. Basic knowledge of the Python programming language will help you easily grasp the concepts explained in this book.
Young, successful men with unblemished reputations— each of them living a contented, "normal" life— are being murdered, one month apart. The killings seem to be unconnected, but are they? Are there dark secrets in the dead men’s pasts? Homicide Detective Harry Stark has to untangle the mystery of the links between these men in a case that takes him and his partner, Noel Harris, on a tortuous and deadly trip into the world of shadows.
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