Danger they never saw coming. Detective Zach Reynolds' latest case shares too many similarities with a series of thirty-year-old murders. It's more than just a copycat mimicking a similar MO. When the evidence can't be denied, Zach will partner with Shauna O'Rourke, a cold case detective he's never quite managed to get out of his mind. The closeness of the case gives Zach the shot he needs to convince Shauna to give him a second chance at love. But will they be able to uncover the danger their victims never saw coming and try their hand at love this time? NY Times Bestselling Author, Lori Ryan, takes readers on a breakneck speed adventure ride in this spin-off from her bestselling Sutton Capital Series. Don't miss the second book in the Sutton Capital On the Line Series. This book can be read as a stand-alone story.

What do you do when the search for truth only leads to more questions? Detective Jarrod Harmon has a lot of dead bodies and very few leads that make any kind of sense. Finding out who is using the city's homeless population to test a deadly drug becomes even more complicated when the evidence fails to add up and his feelings for the assistant director of the local homeless shelter begin to get in the way. Carrie Hastings knows she has her work cut out for her if she’s going to keep her shelter’s new clinic open. With the police looking at one of her physicians as the prime suspect in the deaths of several homeless people, she’ll need to keep her wits about her if she’s going to save the clinic. Sadly, her wits seem to fly out the window when a certain detective comes asking tough questions. In a case where there are more questions than answers, Jarrod and Carrie will have to race against the clock to find out who’s behind such a ruthless crime. All the heart-stopping suspense and heartwarming romance readers of Lori Ryan have come to expect! Cut and Run is the second of three new Sutton Capital Intrigue novels from NY Times Bestselling Author, Lori Ryan. Romantic suspense at its best.

Two people whose past ensures they can never fully trust again Jill can play with Andrew Weston. She can have fun with him. She can even have a wild, no-strings-attached rebound fling with him. But she can’t lose my heart to him. Because if they fall in love and that love died the way her ex-husband’s love for her died, she wouldn’t be able to handle it. She can’t go through that again. Not with the sexy billionaire from her past who tempts her at every turn. He’s falling for Jill Walsh. He knows it’s happening but can’t stop it. But no matter what happens, he can’t let her know how he feels. Sharing feelings makes you vulnerable and he can’t let himself be vulnerable to a woman like that again. So he’ll keep his feelings a secret while he uses his vast fortune to make sure she marries him and never walks away. 5-star billionaire romance that will have you turning pages to the very end! Reuniting with the Billionaire was originally published in a shorter version as part of the Sutton Capital Series. It’s a stand-alone book that can be read in any order in the series.

Her intelligence is what draws him … and what makes him so wrong for her From the start Detective Ronan Cafferty knows Tiff Carson is too good for him. But the sexy professor’s passion for her work and undeniable beauty brings him back to her again and again. As his notorious ability to hide his emotions crumbles, Tiff shows him he just might be the right match for her after all. But when her sharp eye gets them a lead they desperately need to catch a brutal serial killer, Tiff winds up in the sights of a damaged man bent on destroying everyone who’s wronged him.

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.

He needs a wife. She needs a paycheck. But neither expect the heat in their marriage of convenience. No one puts CEO Jack Sutton in a corner, not even his mother... or her will. If he wants his inheritance, he needs to be married, but no one said the marriage had to be anything other than a business arrangement. There are plenty of willing women, and they'll play by the rules: stick to the script and don't fall in love. He only has to find one in time. Too bad he only left himself a few hours. Kelly Bradley made it into the law school of her dreams, but she has no way to pay and the tuition deadline is fast approaching. Marrying a billionaire might be a bit drastic, but spending one year on his arm will make all her problems go away... if she can keep her heart in check. That's never been a problem in the past. It's a business arrangement, but when one thing leads to another will Jack be able to let Kelly go? Or can he find a way to renegotiate the deal of his life? This is a standalone book in the Sutton Billionaires Series. A shorter version of this book was previously published in the Sutton Capital Series under the title Legal Ease.