Former Marine, Reaper Stenberg is a bounty hunter, running his own satellite agency of Montana Bounty Hunters, along with his partner, Jamie Burke. As a general rule, Reaper doesn’t like working with a partner, especially female partners. When chasing a bail-jumper, he prefers to keep his head down and follow the leads. He doesn’t like the “chatter” that usually accompanies working or spending time with a woman. However, partnering with Jamie has taught him a few things. There are women who can focus on the job at hand without letting silly distractions get in the way of his concentration. Jamie is one of those rare creatures who doesn’t gossip, doesn’t get into his business, and can actually be useful when shit goes sideways and they have to get physical. Over the months since their boss, Fetch Winter, put them together, Reaper has come to admire the woman’s grit and ingenuity. And then Jamie up and gets busy planning her wedding... See what happens when Reaper has to deal with a ride-along author, Carly Wyatt, who—when shit goes sideways—proves his first female partner’s grit and ingenuity aren’t just lucky happenstance, and who challenges Reaper’s strict relationship rules.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Delilah Devlin is a New York Times and USA TODAY bestselling author with a rapidly expanding reputation for writing deliciously edgy stories with complex characters. She has published over a hundred eighty stories in multiple genres and lengths, and she is published by Atria/Strebor, Avon, Berkley, Black Lace, Cleis Press, Ellora’s Cave, Grand Central, Harlequin Spice, HarperCollins: Mischief, Kensington, Kindle, Kindle Worlds, Montlake Romance, Running Press, and Samhain Publishing. Learn more at www.DelilahDevlin.com!
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Paperback. Etat : Good. This a book on Artificial Intelligence. It is both a text book and a reference book. It is designed for online learning. It is one of many books on the subject of artificial intelligence. There are more than 400 of them. It is the only one on strategy that is intended to reflect on how to go about doing AI for productive purposes. It also covers about what AI is already, but it is more than that. It answers the question Can a machine think? and most people are quite tired of that question. In fact, people are now more interested in how to do what we want to do. In fact, AI is a inportant subject in our lives and here are two outstanding books that atune to that assertion: The Singularity is Nearer (2024) by Ray Kurzweil, and Artificial Intelligence: A Modern Approach (1995) by Stuart Russell and Peter Norvig. The writers are exceedingly intelligent, and the books are useful but not that easy to read. University research is equally noteworthy. But what about the strategy of adopting AI for the modern operational environment? How do you know what to do and how to do it. Do you have to be a scientist or a mathematician to do the job? Absolutely not. Do you need to be a manager, a major CEO, or even the President of a country. Probably yes. But you need to have the information to do the job. This book gives you what you should do to implement AI in the organization and precisely what you need to know in order to do it. When doing the job of implementing, should you be knowledgeable about precisly what has to be done? Of course. Do you personally have to do it? Not at all. Do you need information on related subjects, of course again. Do you have to read this book serially? Of course not; it is too detailed. Will this be happy reading? On some topics, yes. I other sections, not so much. There are a lot of pages because the environment of AI is large and complicated. Many of the subjects covered in this book will be extremely useful in other areas of business and the organizaton. One more thing. One of the leading topics in Artificial Intelligence research is Reinforcement Learning that serves as the basis for ChatGPT, similar systems, and a wide range of AI topics. Every reader and every student should be advised of its existent and be comfortable with its subject matter. N° de réf. du vendeur 00107152852
Quantité disponible : 1 disponible(s)
Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
Etat : Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. N° de réf. du vendeur 55283343-6
Quantité disponible : 1 disponible(s)
Vendeur : World of Books Inc, Montgomery, IL, Etats-Unis
Paperback. Etat : Good. This a book on Artificial Intelligence. It is both a text book and a reference book. It is designed for online learning. It is one of many books on the subject of artificial intelligence. There are more than 400 of them. It is the only one on strategy that is intended to reflect on how to go about doing AI for productive purposes. It also covers about what AI is already, but it is more than that. It answers the question Can a machine think? and most people are quite tired of that question. In fact, people are now more interested in how to do what we want to do. In fact, AI is a inportant subject in our lives and here are two outstanding books that atune to that assertion: The Singularity is Nearer (2024) by Ray Kurzweil, and Artificial Intelligence: A Modern Approach (1995) by Stuart Russell and Peter Norvig. The writers are exceedingly intelligent, and the books are useful but not that easy to read. University research is equally noteworthy. But what about the strategy of adopting AI for the modern operational environment? How do you know what to do and how to do it. Do you have to be a scientist or a mathematician to do the job? Absolutely not. Do you need to be a manager, a major CEO, or even the President of a country. Probably yes. But you need to have the information to do the job. This book gives you what you should do to implement AI in the organization and precisely what you need to know in order to do it. When doing the job of implementing, should you be knowledgeable about precisly what has to be done? Of course. Do you personally have to do it? Not at all. Do you need information on related subjects, of course again. Do you have to read this book serially? Of course not; it is too detailed. Will this be happy reading? On some topics, yes. I other sections, not so much. There are a lot of pages because the environment of AI is large and complicated. Many of the subjects covered in this book will be extremely useful in other areas of business and the organizaton. One more thing. One of the leading topics in Artificial Intelligence research is Reinforcement Learning that serves as the basis for ChatGPT, similar systems, and a wide range of AI topics. Every reader and every student should be advised of its existent and be comfortable with its subject matter. N° de réf. du vendeur CIN1626951292G
Quantité disponible : 1 disponible(s)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 176 pages. 8.00x5.00x0.40 inches. In Stock. N° de réf. du vendeur zk1626951292
Quantité disponible : 1 disponible(s)