8 Ergebnisse.

Twenty-first-century scientist Matt Miller has become a wealthy businessman and politician with a beautiful wife and family. Yet, despite his every effort, Matt's world is crumbling around him. Grace has recovered from her physical injuries, but her mental scars deepen as the threat to her family remains and her brother's trial looms on the horizon. The Millers find themselves at the center of a maelstrom that threatens to engulf the entire co...

American scientist, Matt Miller, has been torn from his own century and dumped into Colonial Virginia with only his backpack and wits. He has come to terms with where he is and when and has surrounded himself with new friends, but he has also made an enemy who has sworn his destruction. Matt now leaves Virginia to make his fortune in Philadelphia, with the hope of returning and claiming the hand of the woman he loves. It seems predestined that...

American scientist Matt Miller is torn from his own century and dropped into Colonial America with nothing except a backpack. His phone, money, and identity are all useless, and he quickly finds that he is foreign and alone in his own country. Matt must meet the challenge to survive in a newly forming society where he seemingly has no relevant skills and no one he can count on. He suspects that his twenty-first-century knowledge of science and...

Twenty-first-century scientist Matt Miller has achieved success beyond his wildest dreams in the American colonies. He's become a wealthy businessman and politician with a beautiful wife and family, but the American Revolution looms on the horizon. When a prominent British leader mysteriously disappears, Ben Franklin summons Matt to London to help investigate the involvement of Patrick Ferguson, a man whose ambitions are to change the future. ...

This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. It presents a scientific roadmap to translate real-world data science applications into formal statistical estimation problems by using the general template of targeted maximum likelihood estimators. These targeted machine learning algorithms estimate quantities of interest while ...

This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. It presents a scientific roadmap to translate real-world data science applications into formal statistical estimation problems by using the general template of targeted maximum likelihood estimators. These targeted machine learning algorithms estimate quantities of interest while ...

The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever, data sets are massive, often measuring hundreds of thousands of measurements for a single subject. The field is ready to move towards clear objective benchmarks under which tools can be evaluated. Targeted learning allows (1) the full generalization and utilization of cross-validation as an estimator selection tool so that the ...

The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever, data sets are massive, often measuring hundreds of thousands of measurements for a single subject. The field is ready to move towards clear objective benchmarks under which tools can be evaluated. Targeted learning allows (1) the full generalization and utilization of cross-validation as an estimator selection tool so that the ...