Hard F

Hard F
Author: Phoebe Alexander
Publisher: Mountains Wanted Publishing
Total Pages: 129
Release: 2020-11-12
Genre: Fiction
ISBN:

A hard life calls for a hard f... Or at least that’s Fox’s new motto. Fox Braun has led a life of privilege as heir to a multi-billion dollar company. Being filthy rich didn’t keep his wife from cheating on him, but now he’s divorced and moving on with his life as Philly’s most sought-after single. He’s just met the most intriguing woman when his four best friends challenge him to a bet that is as brilliant as it is cruel. There’s absolutely no way he can pursue the beguiling bar owner and win the bet...right? Jenna Campbell has been hustling her whole life. The only job she's ever known is working at her dad's sports bar. When he passed, she took over managing his pride and joy. Her last relationship crashed and burned, and if she doesn’t come into money soon, she’s going to lose her dad’s bar too. What’s a girl gotta do to catch a break? Somehow, it doesn’t seem like the homeless guy who keeps dropping by to see her is the answer...even if his idea of stress relief is very, very effective... Hard F is part of the Alpha Bet Guys series, which is about five alpha’ish guys who like to make bets. Each 20,000-30,000-word novella can be read as a standalone. Book 1: A Hole - Ace & Ella's story can be found in the Big City Heat anthology. Book 2: The Big O - Ozzy & Hazel's story Book 3: Need the D - Dante & Julia's story Book 4: Hard F - Fox & Jenna's story Book 5: Ride the C - Cruz & Mia's story

COLT '89

COLT '89
Author: COLT
Publisher: Morgan Kaufmann
Total Pages: 397
Release: 2014-06-28
Genre: Computers
ISBN: 0080948294

Computational Learning Theory presents the theoretical issues in machine learning and computational models of learning. This book covers a wide range of problems in concept learning, inductive inference, and pattern recognition. Organized into three parts encompassing 32 chapters, this book begins with an overview of the inductive principle based on weak convergence of probability measures. This text then examines the framework for constructing learning algorithms. Other chapters consider the formal theory of learning, which is learning in the sense of improving computational efficiency as opposed to concept learning. This book discusses as well the informed parsimonious (IP) inference that generalizes the compatibility and weighted parsimony techniques, which are most commonly applied in biology. The final chapter deals with the construction of prediction algorithms in a situation in which a learner faces a sequence of trials, with a prediction to be given in each and the goal of the learner is to make some mistakes. This book is a valuable resource for students and teachers.

Transactions

Transactions
Author: Society of Automotive Engineers
Publisher:
Total Pages: 408
Release: 1916
Genre: Aeronautics
ISBN:

Document

Document
Author: Boston (Mass.)
Publisher:
Total Pages: 1534
Release: 1907
Genre:
ISBN: