AI Superstream Series: AI & ML in Production
One of the most consistent challenges for ML engineers is how to move from model to production. Join us for a day of sessions dedicated to making the most of AI in your company. You'll learn about everything from scaling to deployment and from pipeline to model decay-straight from our experts....
Gespeichert in:
Beteiligte Personen: | , , , |
---|---|
Körperschaften: | , |
Format: | Elektronisch Video |
Sprache: | Englisch |
Veröffentlicht: |
[Erscheinungsort nicht ermittelbar]
O'Reilly Media, Inc.
2021
|
Ausgabe: | 1st edition. |
Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/0636920541356/?ar |
Zusammenfassung: | One of the most consistent challenges for ML engineers is how to move from model to production. Join us for a day of sessions dedicated to making the most of AI in your company. You'll learn about everything from scaling to deployment and from pipeline to model decay-straight from our experts. About the AI Superstream Series: This four-part series of half-day online events is packed with insights from some of the brightest minds in AI. You'll get a deeper understanding of the latest tools and technologies that can help keep your organization competitive, and learn to leverage AI to drive real business results. What you'll learn-and how you can apply it Understand how MLOps can help you evolve from manually building models Learn how to use PyTorch to effectively deploy and scale your AI models Explore design patterns that will help you tackle problems that frequently crop up during the ML process This Superstream is for you because ... You want to learn more about moving machine learning from model to production. You want to better understand MLOps. You're interested in improving your skills in scaling, model monitoring, and deployment. Prerequisites Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration. |
Beschreibung: | Online resource; Title from title screen (viewed March 17, 2021) |
Umfang: | 1 Online-Ressource (1 video file, approximately 3 hr., 25 min.) |
ISBN: | 0636920541356 |
Internformat
MARC
LEADER | 00000cgm a22000002 4500 | ||
---|---|---|---|
001 | ZDB-30-ORH-063078236 | ||
003 | DE-627-1 | ||
005 | 20240228121344.0 | ||
006 | m o | | | ||
007 | cr uuu---uuuuu | ||
008 | 210427s2021 xx ||| |o o ||eng c | ||
020 | |a 0636920541356 |9 0636920541356 | ||
035 | |a (DE-627-1)063078236 | ||
035 | |a (DE-599)KEP063078236 | ||
035 | |a (ORHE)0636920541356 | ||
035 | |a (DE-627-1)063078236 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
100 | 1 | |a Barth, Antje |e VerfasserIn |4 aut | |
245 | 1 | 0 | |a AI Superstream Series |b AI & ML in Production |c Barth, Antje |
250 | |a 1st edition. | ||
264 | 1 | |a [Erscheinungsort nicht ermittelbar] |b O'Reilly Media, Inc. |c 2021 | |
300 | |a 1 Online-Ressource (1 video file, approximately 3 hr., 25 min.) | ||
336 | |a zweidimensionales bewegtes Bild |b tdi |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Online resource; Title from title screen (viewed March 17, 2021) | ||
520 | |a One of the most consistent challenges for ML engineers is how to move from model to production. Join us for a day of sessions dedicated to making the most of AI in your company. You'll learn about everything from scaling to deployment and from pipeline to model decay-straight from our experts. About the AI Superstream Series: This four-part series of half-day online events is packed with insights from some of the brightest minds in AI. You'll get a deeper understanding of the latest tools and technologies that can help keep your organization competitive, and learn to leverage AI to drive real business results. What you'll learn-and how you can apply it Understand how MLOps can help you evolve from manually building models Learn how to use PyTorch to effectively deploy and scale your AI models Explore design patterns that will help you tackle problems that frequently crop up during the ML process This Superstream is for you because ... You want to learn more about moving machine learning from model to production. You want to better understand MLOps. You're interested in improving your skills in scaling, model monitoring, and deployment. Prerequisites Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration. | ||
650 | 0 | |a Streaming video | |
650 | 0 | |a Internet videos | |
650 | 4 | |a Vidéo en continu | |
650 | 4 | |a Vidéos sur Internet | |
650 | 4 | |a streaming video | |
650 | 4 | |a Electronic videos | |
700 | 1 | |a Chauhan, Geeta |e VerfasserIn |4 aut | |
700 | 1 | |a Robinson, Sara |e VerfasserIn |4 aut | |
700 | 1 | |a Amadio, Brian |e VerfasserIn |4 aut | |
710 | 2 | |a O'Reilly for Higher Education (Firm), |e MitwirkendeR |4 ctb | |
710 | 2 | |a Safari, an O'Reilly Media Company. |e MitwirkendeR |4 ctb | |
966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/0636920541356/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
912 | |a ZDB-30-ORH | ||
935 | |c vide | ||
951 | |a BO | ||
912 | |a ZDB-30-ORH | ||
049 | |a DE-91 |
Datensatz im Suchindex
DE-BY-TUM_katkey | ZDB-30-ORH-063078236 |
---|---|
_version_ | 1821494945881522176 |
adam_text | |
any_adam_object | |
author | Barth, Antje Chauhan, Geeta Robinson, Sara Amadio, Brian |
author_corporate | O'Reilly for Higher Education (Firm) Safari, an O'Reilly Media Company |
author_corporate_role | ctb ctb |
author_facet | Barth, Antje Chauhan, Geeta Robinson, Sara Amadio, Brian O'Reilly for Higher Education (Firm) Safari, an O'Reilly Media Company |
author_role | aut aut aut aut |
author_sort | Barth, Antje |
author_variant | a b ab g c gc s r sr b a ba |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-30-ORH |
ctrlnum | (DE-627-1)063078236 (DE-599)KEP063078236 (ORHE)0636920541356 |
edition | 1st edition. |
format | Electronic Video |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02965cgm a22004812 4500</leader><controlfield tag="001">ZDB-30-ORH-063078236</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121344.0</controlfield><controlfield tag="006">m o | | </controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210427s2021 xx ||| |o o ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0636920541356</subfield><subfield code="9">0636920541356</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)063078236</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP063078236</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)0636920541356</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)063078236</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Barth, Antje</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">AI Superstream Series</subfield><subfield code="b">AI & ML in Production</subfield><subfield code="c">Barth, Antje</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st edition.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Erscheinungsort nicht ermittelbar]</subfield><subfield code="b">O'Reilly Media, Inc.</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (1 video file, approximately 3 hr., 25 min.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">zweidimensionales bewegtes Bild</subfield><subfield code="b">tdi</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Online resource; Title from title screen (viewed March 17, 2021)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">One of the most consistent challenges for ML engineers is how to move from model to production. Join us for a day of sessions dedicated to making the most of AI in your company. You'll learn about everything from scaling to deployment and from pipeline to model decay-straight from our experts. About the AI Superstream Series: This four-part series of half-day online events is packed with insights from some of the brightest minds in AI. You'll get a deeper understanding of the latest tools and technologies that can help keep your organization competitive, and learn to leverage AI to drive real business results. What you'll learn-and how you can apply it Understand how MLOps can help you evolve from manually building models Learn how to use PyTorch to effectively deploy and scale your AI models Explore design patterns that will help you tackle problems that frequently crop up during the ML process This Superstream is for you because ... You want to learn more about moving machine learning from model to production. You want to better understand MLOps. You're interested in improving your skills in scaling, model monitoring, and deployment. Prerequisites Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Streaming video</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Internet videos</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vidéo en continu</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vidéos sur Internet</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">streaming video</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electronic videos</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chauhan, Geeta</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Robinson, Sara</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Amadio, Brian</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">O'Reilly for Higher Education (Firm),</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">Safari, an O'Reilly Media Company.</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/0636920541356/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="935" ind1=" " ind2=" "><subfield code="c">vide</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
id | ZDB-30-ORH-063078236 |
illustrated | Not Illustrated |
indexdate | 2025-01-17T11:22:27Z |
institution | BVB |
isbn | 0636920541356 |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 Online-Ressource (1 video file, approximately 3 hr., 25 min.) |
psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | O'Reilly Media, Inc. |
record_format | marc |
spelling | Barth, Antje VerfasserIn aut AI Superstream Series AI & ML in Production Barth, Antje 1st edition. [Erscheinungsort nicht ermittelbar] O'Reilly Media, Inc. 2021 1 Online-Ressource (1 video file, approximately 3 hr., 25 min.) zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; Title from title screen (viewed March 17, 2021) One of the most consistent challenges for ML engineers is how to move from model to production. Join us for a day of sessions dedicated to making the most of AI in your company. You'll learn about everything from scaling to deployment and from pipeline to model decay-straight from our experts. About the AI Superstream Series: This four-part series of half-day online events is packed with insights from some of the brightest minds in AI. You'll get a deeper understanding of the latest tools and technologies that can help keep your organization competitive, and learn to leverage AI to drive real business results. What you'll learn-and how you can apply it Understand how MLOps can help you evolve from manually building models Learn how to use PyTorch to effectively deploy and scale your AI models Explore design patterns that will help you tackle problems that frequently crop up during the ML process This Superstream is for you because ... You want to learn more about moving machine learning from model to production. You want to better understand MLOps. You're interested in improving your skills in scaling, model monitoring, and deployment. Prerequisites Come with your questions Have a pen and paper handy to capture notes, insights, and inspiration. Streaming video Internet videos Vidéo en continu Vidéos sur Internet streaming video Electronic videos Chauhan, Geeta VerfasserIn aut Robinson, Sara VerfasserIn aut Amadio, Brian VerfasserIn aut O'Reilly for Higher Education (Firm), MitwirkendeR ctb Safari, an O'Reilly Media Company. MitwirkendeR ctb |
spellingShingle | Barth, Antje Chauhan, Geeta Robinson, Sara Amadio, Brian AI Superstream Series AI & ML in Production Streaming video Internet videos Vidéo en continu Vidéos sur Internet streaming video Electronic videos |
title | AI Superstream Series AI & ML in Production |
title_auth | AI Superstream Series AI & ML in Production |
title_exact_search | AI Superstream Series AI & ML in Production |
title_full | AI Superstream Series AI & ML in Production Barth, Antje |
title_fullStr | AI Superstream Series AI & ML in Production Barth, Antje |
title_full_unstemmed | AI Superstream Series AI & ML in Production Barth, Antje |
title_short | AI Superstream Series |
title_sort | ai superstream series ai ml in production |
title_sub | AI & ML in Production |
topic | Streaming video Internet videos Vidéo en continu Vidéos sur Internet streaming video Electronic videos |
topic_facet | Streaming video Internet videos Vidéo en continu Vidéos sur Internet streaming video Electronic videos |
work_keys_str_mv | AT barthantje aisuperstreamseriesaimlinproduction AT chauhangeeta aisuperstreamseriesaimlinproduction AT robinsonsara aisuperstreamseriesaimlinproduction AT amadiobrian aisuperstreamseriesaimlinproduction AT oreillyforhighereducationfirm aisuperstreamseriesaimlinproduction AT safarianoreillymediacompany aisuperstreamseriesaimlinproduction |