Data Science, a new discovery paradigm, is potentially one of the most significant advances of
the early 21st century. Originating in scientific discovery, it is being applied to every human endeavor for
which there is adequate data. While remarkable successes have been achieved, even greater claims have
been made. Benefits, challenge, and risks abound. The science underlying data science has yet to emerge.
Maturity is more than a decade away. This claim is based firstly on observing the centuries-long
developments of its predecessor paradigms – empirical, theoretical, and Jim Gray’s Fourth Paradigm of
Scientific Discovery (Hey, Tansley & Tolle, 2009) (aka eScience, data-intensive, computational, procedural);
and secondly on my studies of over 150 data science use cases, several data science-based startups, and,
on my scientific advisory role for Insight1 , a Data Science Research Institute (DSRI) that requires that I
understand the opportunities, state of the art, and research challenges for the emerging discipline of data
science. This chapter addresses essential questions for a DSRI: What is data science? and What is worldclass data science research? A companion chapter On Developing Data Science (Brodie, 2018b) addresses the development of data science applications and of the data science discipline itself
"Sinopsis" puede pertenecer a otra edición de este libro.
EUR 0,57 gastos de envío desde Estados Unidos de America a España
Destinos, gastos y plazos de envíoLibrería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9798886672411
Cantidad disponible: Más de 20 disponibles
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. In. Nº de ref. del artículo: ria9798886672411_new
Cantidad disponible: Más de 20 disponibles
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9798886672411
Cantidad disponible: Más de 20 disponibles
Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Nº de ref. del artículo: I-9798886672411
Cantidad disponible: Más de 20 disponibles
Librería: Chiron Media, Wallingford, Reino Unido
PF. Condición: New. Nº de ref. del artículo: 6666-IUK-9798886672411
Cantidad disponible: 10 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. Neuware - Data Science, a new discovery paradigm, is potentially one of the most significant advances of the early 21st century. Originating in scientific discovery, it is being applied to every human endeavor for which there is adequate data. While remarkable successes have been achieved, even greater claims have been made. Benefits, challenge, and risks abound. The science underlying data science has yet to emerge. Maturity is more than a decade away. This claim is based firstly on observing the centuries-long developments of its predecessor paradigms - empirical, theoretical, and Jim Gray's Fourth Paradigm of Scientific Discovery (Hey, Tansley & Tolle, 2009) (aka eScience, data-intensive, computational, procedural); and secondly on my studies of over 150 data science use cases, several data science-based startups, and, on my scientific advisory role for Insight1 , a Data Science Research Institute (DSRI) that requires that I understand the opportunities, state of the art, and research challenges for the emerging discipline of data science. This chapter addresses essential questions for a DSRI: What is data science and What is worldclass data science research A companion chapter On Developing Data Science (Brodie, 2018b) addresses the development of data science applications and of the data science discipline itself. Nº de ref. del artículo: 9798886672411
Cantidad disponible: 2 disponibles