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015 _aGBC245354
_2bnb
016 7 _a020519141
_2Uk
020 _a1914124014
_qpaperback
020 _a9781914124013
_qpaperback
020 _z9781000600681 (ePub ebook)
020 _z9781000600674 (PDF ebook)
020 _z9781003297192 (ebook)
035 _a(OCoLC)on1287922184
035 _a(ALMA)991018657124807596
040 _aLaib
_beng
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041 _aeng
050 4 _aNA2543.T43
082 0 4 _a720.28563 B458 2022
_223
084 _aIc
_2kssb/8 (machine generated)
100 1 _aBernstein, Phil
_4aut
245 1 0 _aMachine learning :
_barchitecture in the age of artificial intelligence /
_cPhil Bernstein.
264 1 _aLondon :
_bRIBA Publishing,
_c[2022]
300 _axi, 186 pages
_billustrations (color)
_c24 cm
336 _atext
_astill image
_btxt
_bsti
_2rdacontent
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aIncludes bibliographical references and index.
520 8 _aThe advent of machine learning-based AI systems demands that our industry does not just share toys, but builds a new sandbox in which to play with them.' - Phil Bernstein The profession is changing. A new era is rapidly approaching when computers will not merely be instruments for data creation, manipulation and management, but, empowered by artificial intelligence, they will become agents of design themselves. Architects need a strategy for facing the opportunities and threats of these emergent capabilities or risk being left behind. Architecture's best-known technologist, Phil Bernstein, provides that strategy. Divided into three key sections - Process, Relationships and Results - Machine Learning lays out an approach for anticipating, understanding and managing a world in which computers often augment, but may well also supplant, knowledge workers like architects. Armed with this insight, practices can take full advantage of the new technologies to future-proof their business. Features chapters on: * Professionalism * Tools and technologies * Laws, policy and risk * Delivery, means and methods * Creating, consuming and curating data * Value propositions and business models.
650 7 _aMaskininl�rning
_0https://id.kb.se/term/sao/Maskininl%C3%A4rning
_2sao
650 0 _aArchitecture and technology.
650 0 _aArtificial intelligence
_xIndustrial applications.
650 7 _aArchitecture and technology.
_2fast
650 7 _aArtificial intelligence
_xIndustrial applications.
_2fast
650 0 _aMachine learning
776 0 8 _iebook version :
_z9781000600681
856 4 2 _uhttps://www.gbv.de/dms/tib-ub-hannover/1802597840.pdf
_zInneh�llsf�rteckning
856 4 0 _uhttps://uub.primo.exlibrisgroup.com/openurl/46LIBRIS_UUB/46LIBRIS_UUB:UUB?u.ignore_date_coverage=true&rft.mms_id=991018657124807596
_zTillg�nglig f�r anv�ndare inom Uppsala universitet
_zfulltext
_zO'Reilly Online Learning: Academic/Public Library Edition
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