000 a
999 _c33613
_d33613
008 250225b xxu||||| |||| 00| 0 eng d
020 _a9781484267165
082 _a006.3
_bTAU
100 _aTaulli, Tom
245 _aArtificial intelligence basics : a non-technical introduction
260 _bApress,
_c2019
_aNew York :
300 _axii, 187 p. ;
_bill.,
_c24 cm
365 _b599.00
_c
_d01
504 _aIncludes bibliographical references and index.
520 _aArtificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success. Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact. Author Tom Taulli provides an engaging, non-technical introduction to important concepts such as machine learning, deep learning, natural language processing (NLP), robotics, and more. In addition to guiding you through real-world case studies and practical implementation steps, Taulli uses his expertise to expand on the bigger questions that surround AI. These include societal trends, ethics, and future impact AI will have on world governments, company structures, and daily life. Google, Amazon, Facebook, and similar tech giants are far from the only organizations on which artificial intelligence has had—and will continue to have—an incredibly significant result. AI is the present and the future of your business as well as your home life. Strengthening your prowess on the subject will prove invaluable to your preparation for the future of tech, and Artificial Intelligence Basics is the indispensable guide that you’ve been seeking.
650 _aArtificial intelligence
650 _aEntreprises Innovations
650 _aExpert Systems
650 _aLeadership
650 _aStrategic Planning
650 _aAlan Turing
650 _aBackpropagation
650 _aChatbots
650 _aDeep learning
650 _aK-Means algorithm
650 _aLemmatization
650 _aRobotic Process Automation
650 _aRecurrent neural network;
650 _aRPA system
650 _aSmartphones
650 _aUnsupervised learning
942 _2ddc
_cBK