Artificial intelligence and machine learning fundamentals:
"Machine learning and neural networks are fast becoming pillars on which you can build intelligent applications. The course will begin by introducing you to Python and discussing using AI search algorithms. You will learn math-heavy topics, such as regression and classification, illustrated by...
Gespeichert in:
Beteilige Person: | |
---|---|
Format: | Elektronisch Video |
Sprache: | Englisch |
Veröffentlicht: |
[Place of publication not identified]
Packt Publishing
2019
|
Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9781789953671/?ar |
Zusammenfassung: | "Machine learning and neural networks are fast becoming pillars on which you can build intelligent applications. The course will begin by introducing you to Python and discussing using AI search algorithms. You will learn math-heavy topics, such as regression and classification, illustrated by Python examples. You will then progress on to advanced AI techniques and concepts, and work on real-life data sets to form decision trees and clusters. You will be introduced to neural networks, which is a powerful tool benefiting from Moore's law applied on 21st-century computing power. By the end of this course, you will feel confident and look forward to building your own AI applications with your newly-acquired skills!"--Resource description page |
Beschreibung: | Title from resource description page (Safari, viewed April 29, 2019) |
Umfang: | 1 Online-Ressource (1 streaming video file (7 hr., 48 min., 20 sec.)) |
Internformat
MARC
LEADER | 00000cgm a22000002c 4500 | ||
---|---|---|---|
001 | ZDB-30-ORH-047732970 | ||
003 | DE-627-1 | ||
005 | 20240228120715.0 | ||
006 | m o | | | ||
007 | cr uuu---uuuuu | ||
008 | 191023s2019 xx ||| |o o ||eng c | ||
035 | |a (DE-627-1)047732970 | ||
035 | |a (DE-599)KEP047732970 | ||
035 | |a (ORHE)9781789953671 | ||
035 | |a (DE-627-1)047732970 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
100 | 1 | |a Nagy, Zsolt |e VerfasserIn |4 aut | |
245 | 1 | 0 | |a Artificial intelligence and machine learning fundamentals |c Zsolt Nagy |
264 | 1 | |a [Place of publication not identified] |b Packt Publishing |c 2019 | |
300 | |a 1 Online-Ressource (1 streaming video file (7 hr., 48 min., 20 sec.)) | ||
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 Title from resource description page (Safari, viewed April 29, 2019) | ||
520 | |a "Machine learning and neural networks are fast becoming pillars on which you can build intelligent applications. The course will begin by introducing you to Python and discussing using AI search algorithms. You will learn math-heavy topics, such as regression and classification, illustrated by Python examples. You will then progress on to advanced AI techniques and concepts, and work on real-life data sets to form decision trees and clusters. You will be introduced to neural networks, which is a powerful tool benefiting from Moore's law applied on 21st-century computing power. By the end of this course, you will feel confident and look forward to building your own AI applications with your newly-acquired skills!"--Resource description page | ||
650 | 0 | |a Machine learning | |
650 | 0 | |a Artificial intelligence | |
650 | 0 | |a Neural networks (Computer science) | |
650 | 0 | |a Python (Computer program language) | |
650 | 2 | |a Artificial Intelligence | |
650 | 2 | |a Neural Networks, Computer | |
650 | 4 | |a Apprentissage automatique | |
650 | 4 | |a Intelligence artificielle | |
650 | 4 | |a Réseaux neuronaux (Informatique) | |
650 | 4 | |a Python (Langage de programmation) | |
650 | 4 | |a artificial intelligence | |
650 | 4 | |a Artificial intelligence |0 (OCoLC)fst00817247 | |
650 | 4 | |a Machine learning |0 (OCoLC)fst01004795 | |
650 | 4 | |a Neural networks (Computer science) |0 (OCoLC)fst01036260 | |
650 | 4 | |a Python (Computer program language) |0 (OCoLC)fst01084736 | |
650 | 4 | |a Electronic videos | |
966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781789953671/?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-047732970 |
---|---|
_version_ | 1829007854641610752 |
adam_text | |
any_adam_object | |
author | Nagy, Zsolt |
author_facet | Nagy, Zsolt |
author_role | aut |
author_sort | Nagy, Zsolt |
author_variant | z n zn |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-30-ORH |
ctrlnum | (DE-627-1)047732970 (DE-599)KEP047732970 (ORHE)9781789953671 |
format | Electronic Video |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02673cgm a22005172c 4500</leader><controlfield tag="001">ZDB-30-ORH-047732970</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228120715.0</controlfield><controlfield tag="006">m o | | </controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191023s2019 xx ||| |o o ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047732970</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP047732970</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781789953671</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047732970</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">Nagy, Zsolt</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Artificial intelligence and machine learning fundamentals</subfield><subfield code="c">Zsolt Nagy</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Place of publication not identified]</subfield><subfield code="b">Packt Publishing</subfield><subfield code="c">2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (1 streaming video file (7 hr., 48 min., 20 sec.))</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">Title from resource description page (Safari, viewed April 29, 2019)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"Machine learning and neural networks are fast becoming pillars on which you can build intelligent applications. The course will begin by introducing you to Python and discussing using AI search algorithms. You will learn math-heavy topics, such as regression and classification, illustrated by Python examples. You will then progress on to advanced AI techniques and concepts, and work on real-life data sets to form decision trees and clusters. You will be introduced to neural networks, which is a powerful tool benefiting from Moore's law applied on 21st-century computing power. By the end of this course, you will feel confident and look forward to building your own AI applications with your newly-acquired skills!"--Resource description page</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Neural networks (Computer science)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Neural Networks, Computer</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Apprentissage automatique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligence artificielle</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Réseaux neuronaux (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Langage de programmation)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield><subfield code="0">(OCoLC)fst00817247</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield><subfield code="0">(OCoLC)fst01004795</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Neural networks (Computer science)</subfield><subfield code="0">(OCoLC)fst01036260</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Computer program language)</subfield><subfield code="0">(OCoLC)fst01084736</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electronic videos</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/-/9781789953671/?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-047732970 |
illustrated | Not Illustrated |
indexdate | 2025-04-10T09:36:55Z |
institution | BVB |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 Online-Ressource (1 streaming video file (7 hr., 48 min., 20 sec.)) |
psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | Packt Publishing |
record_format | marc |
spelling | Nagy, Zsolt VerfasserIn aut Artificial intelligence and machine learning fundamentals Zsolt Nagy [Place of publication not identified] Packt Publishing 2019 1 Online-Ressource (1 streaming video file (7 hr., 48 min., 20 sec.)) zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Title from resource description page (Safari, viewed April 29, 2019) "Machine learning and neural networks are fast becoming pillars on which you can build intelligent applications. The course will begin by introducing you to Python and discussing using AI search algorithms. You will learn math-heavy topics, such as regression and classification, illustrated by Python examples. You will then progress on to advanced AI techniques and concepts, and work on real-life data sets to form decision trees and clusters. You will be introduced to neural networks, which is a powerful tool benefiting from Moore's law applied on 21st-century computing power. By the end of this course, you will feel confident and look forward to building your own AI applications with your newly-acquired skills!"--Resource description page Machine learning Artificial intelligence Neural networks (Computer science) Python (Computer program language) Artificial Intelligence Neural Networks, Computer Apprentissage automatique Intelligence artificielle Réseaux neuronaux (Informatique) Python (Langage de programmation) artificial intelligence Artificial intelligence (OCoLC)fst00817247 Machine learning (OCoLC)fst01004795 Neural networks (Computer science) (OCoLC)fst01036260 Python (Computer program language) (OCoLC)fst01084736 Electronic videos |
spellingShingle | Nagy, Zsolt Artificial intelligence and machine learning fundamentals Machine learning Artificial intelligence Neural networks (Computer science) Python (Computer program language) Artificial Intelligence Neural Networks, Computer Apprentissage automatique Intelligence artificielle Réseaux neuronaux (Informatique) Python (Langage de programmation) artificial intelligence Artificial intelligence (OCoLC)fst00817247 Machine learning (OCoLC)fst01004795 Neural networks (Computer science) (OCoLC)fst01036260 Python (Computer program language) (OCoLC)fst01084736 Electronic videos |
subject_GND | (OCoLC)fst00817247 (OCoLC)fst01004795 (OCoLC)fst01036260 (OCoLC)fst01084736 |
title | Artificial intelligence and machine learning fundamentals |
title_auth | Artificial intelligence and machine learning fundamentals |
title_exact_search | Artificial intelligence and machine learning fundamentals |
title_full | Artificial intelligence and machine learning fundamentals Zsolt Nagy |
title_fullStr | Artificial intelligence and machine learning fundamentals Zsolt Nagy |
title_full_unstemmed | Artificial intelligence and machine learning fundamentals Zsolt Nagy |
title_short | Artificial intelligence and machine learning fundamentals |
title_sort | artificial intelligence and machine learning fundamentals |
topic | Machine learning Artificial intelligence Neural networks (Computer science) Python (Computer program language) Artificial Intelligence Neural Networks, Computer Apprentissage automatique Intelligence artificielle Réseaux neuronaux (Informatique) Python (Langage de programmation) artificial intelligence Artificial intelligence (OCoLC)fst00817247 Machine learning (OCoLC)fst01004795 Neural networks (Computer science) (OCoLC)fst01036260 Python (Computer program language) (OCoLC)fst01084736 Electronic videos |
topic_facet | Machine learning Artificial intelligence Neural networks (Computer science) Python (Computer program language) Artificial Intelligence Neural Networks, Computer Apprentissage automatique Intelligence artificielle Réseaux neuronaux (Informatique) Python (Langage de programmation) artificial intelligence Electronic videos |
work_keys_str_mv | AT nagyzsolt artificialintelligenceandmachinelearningfundamentals |