{"product_id":"machine-learning-for-beginners-alec-gilliam-9781718911147","title":"Machine Learning for Beginners: A History, A Basic Outline, And The Moral Quandary It Presents To Humankind","description":"Machine Learning\u003cp\u003e\u003cbr\u003e\u003c\/p\u003eMachine learning is the ability of artificial intelligence to learn and adapt without being explicitly programmed to perform a pre-prescribed outcome. It is a machine's ability to act on its own, to learn. Many forms of artificial intelligence use a wide variety of tactics to employ this, including pattern recognition and unsupervised learning algorithms. Currently, there is a lot of excitement and focus on machine learning in the world of programming, as it is often interpreted to imply a limitless future in artificial intelligence: a world in which machines could adapt and respond to a wide variety of stimuli and factors without direct programming response from a human. A world in which machines could learn and adapt on their own.\u003cbr\u003eOften, machine learning is seen as the missing \"human\" element in machines; the ability for machines to start to fill the gap between what makes us human and what makes machines; a sense of responsiveness and flexibility in a given environment and a set of circumstances. By and large, the goal of learning is to be able to generalize: to take a set of lived circumstances, and to be able to extrapolate a sense of patterning about what the future holds, and how the person should respond to similar given situations. Machine learning is similar; it is the attempt to program machines so that they can generalize about future possibilities and probabilities based on data sets. In short- machine learning is the quest to get machines to think like humans. This takes a wide variety of forms and is used for a wide variety of purposes. \u003cbr\u003eIn the following book, we will explore the history of machine learning, the academic and scientific elements that make up the study, as well as touching on this moral and philosophical space that they occupy. \u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cstrong\u003eIn this book you will find: \u003c\/strong\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWhat is Machine Learning?\u003c\/li\u003e\n\u003cli\u003eThe History of Machine Learning\u003c\/li\u003e\n\u003cli\u003eExamples of Machine Learning\u003c\/li\u003e\n\u003cli\u003eHow Does Machine Learning Work?\u003c\/li\u003e\n\u003cli\u003eCommon Approaches and Terms in Machine Learning\u003c\/li\u003e\n\u003cli\u003eTheoretical Computer Science\u003c\/li\u003e\n\u003cli\u003eComputational Learning Theory\/Association Rule Learning\u003c\/li\u003e\n\u003cli\u003ePattern Recognition\u003c\/li\u003e\n\u003cli\u003eDeep Learning\u003c\/li\u003e\n\u003cli\u003eInduction Logic Reasoning\u003c\/li\u003e\n\u003cli\u003eNeural networks\u003c\/li\u003e\n\u003cli\u003eExpert Systems\u003c\/li\u003e\n\u003cli\u003eNaive Bayes Systems\u003c\/li\u003e\n\u003cli\u003eUnsupervised and supervised learning algorithms\u003c\/li\u003e\n\u003cli\u003eDecision Trees\u003c\/li\u003e\n\u003cli\u003eRandom Decision Forests\u003c\/li\u003e\n\u003cli\u003eThe Moral and Philosophical Implications of Machine Learning\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Alec Gilliam\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1718911149\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781718911147\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Createspace Independent Publishing Platform\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 05\/09\/2018\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 70\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.17lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 8.00h x 5.00w x 0.15d","brand":"Alec Gilliam","offers":[{"title":"Paperback","offer_id":43937325515007,"sku":"9781718911147","price":10.24,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/products\/img_f20006b5-6cf4-41ec-8779-55bd2acfd57b.jpg?v=1681429404","url":"https:\/\/www.whiterainbookhouse.com\/products\/machine-learning-for-beginners-alec-gilliam-9781718911147","provider":"WR Book House","version":"1.0","type":"link"}