AI and machine learning for coders: a programmer's guide to artificial intelligence
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics....
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
[Place of publication not identified]
Ascent Audio
2023
|
| Edition: | [First edition]. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781663721372/?ar |
| Summary: | If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: how to build models with TensorFlow using skills that employers desire; the basics of machine learning by working with code samples; how to implement computer vision, including feature detection in images; how to use NLP to tokenize and sequence words and sentences; methods for embedding models in Android and iOS; and how to serve models over the web and in the cloud with TensorFlow Serving. |
| Item Description: | Online resource; title from title details screen (O'Reilly, viewed January 31, 2023) |
| Physical Description: | 1 Online-Ressource (1 audio file (9 hr., 17 min.)) |
| ISBN: | 9781663721372 1663721378 |
Staff View
MARC
| LEADER | 00000cam a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-089794990 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228121917.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 230322s2023 xx |||||o 00| ||eng c | ||
| 020 | |a 9781663721372 |c electronic audio bk. |9 978-1-6637-2137-2 | ||
| 020 | |a 1663721378 |c electronic audio bk. |9 1-6637-2137-8 | ||
| 035 | |a (DE-627-1)089794990 | ||
| 035 | |a (DE-599)KEP089794990 | ||
| 035 | |a (ORHE)9781663721372 | ||
| 035 | |a (DE-627-1)089794990 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 006.31 |2 23/eng/20230131 | |
| 100 | 1 | |a Moroney, Laurence |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a AI and machine learning for coders |b a programmer's guide to artificial intelligence |c Laurence Moroney |
| 250 | |a [First edition]. | ||
| 264 | 1 | |a [Place of publication not identified] |b Ascent Audio |c 2023 | |
| 300 | |a 1 Online-Ressource (1 audio file (9 hr., 17 min.)) | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Online resource; title from title details screen (O'Reilly, viewed January 31, 2023) | ||
| 520 | |a If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: how to build models with TensorFlow using skills that employers desire; the basics of machine learning by working with code samples; how to implement computer vision, including feature detection in images; how to use NLP to tokenize and sequence words and sentences; methods for embedding models in Android and iOS; and how to serve models over the web and in the cloud with TensorFlow Serving. | ||
| 650 | 0 | |a Machine learning | |
| 650 | 0 | |a Artificial intelligence | |
| 650 | 4 | |a Apprentissage automatique | |
| 650 | 4 | |a Intelligence artificielle | |
| 650 | 4 | |a artificial intelligence | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Machine learning | |
| 650 | 4 | |a Audiobooks | |
| 650 | 4 | |a Audiobooks | |
| 650 | 4 | |a Livres audio | |
| 700 | 1 | |a Jackson, Timothy Howard |e ErzählerIn |4 nrt | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781663721372/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Record in the Search Index
| DE-BY-TUM_katkey | ZDB-30-ORH-089794990 |
|---|---|
| _version_ | 1831287034070695936 |
| adam_text | |
| any_adam_object | |
| author | Moroney, Laurence |
| author2 | Jackson, Timothy Howard |
| author2_role | nrt |
| author2_variant | t h j th thj |
| author_facet | Moroney, Laurence Jackson, Timothy Howard |
| author_role | aut |
| author_sort | Moroney, Laurence |
| author_variant | l m lm |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)089794990 (DE-599)KEP089794990 (ORHE)9781663721372 |
| dewey-full | 006.31 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.31 |
| dewey-search | 006.31 |
| dewey-sort | 16.31 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | [First edition]. |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02822cam a22004932c 4500</leader><controlfield tag="001">ZDB-30-ORH-089794990</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121917.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230322s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781663721372</subfield><subfield code="c">electronic audio bk.</subfield><subfield code="9">978-1-6637-2137-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1663721378</subfield><subfield code="c">electronic audio bk.</subfield><subfield code="9">1-6637-2137-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)089794990</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP089794990</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781663721372</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)089794990</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="082" ind1="0" ind2=" "><subfield code="a">006.31</subfield><subfield code="2">23/eng/20230131</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Moroney, Laurence</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">AI and machine learning for coders</subfield><subfield code="b">a programmer's guide to artificial intelligence</subfield><subfield code="c">Laurence Moroney</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">[First edition].</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Place of publication not identified]</subfield><subfield code="b">Ascent Audio</subfield><subfield code="c">2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (1 audio file (9 hr., 17 min.))</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</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 details screen (O'Reilly, viewed January 31, 2023)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: how to build models with TensorFlow using skills that employers desire; the basics of machine learning by working with code samples; how to implement computer vision, including feature detection in images; how to use NLP to tokenize and sequence words and sentences; methods for embedding models in Android and iOS; and how to serve models over the web and in the cloud with TensorFlow Serving.</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="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">artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Audiobooks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Audiobooks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Livres audio</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jackson, Timothy Howard</subfield><subfield code="e">ErzählerIn</subfield><subfield code="4">nrt</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/-/9781663721372/?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="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</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-089794990 |
| illustrated | Not Illustrated |
| indexdate | 2025-05-05T13:23:30Z |
| institution | BVB |
| isbn | 9781663721372 1663721378 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (1 audio file (9 hr., 17 min.)) |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Ascent Audio |
| record_format | marc |
| spelling | Moroney, Laurence VerfasserIn aut AI and machine learning for coders a programmer's guide to artificial intelligence Laurence Moroney [First edition]. [Place of publication not identified] Ascent Audio 2023 1 Online-Ressource (1 audio file (9 hr., 17 min.)) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title details screen (O'Reilly, viewed January 31, 2023) If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: how to build models with TensorFlow using skills that employers desire; the basics of machine learning by working with code samples; how to implement computer vision, including feature detection in images; how to use NLP to tokenize and sequence words and sentences; methods for embedding models in Android and iOS; and how to serve models over the web and in the cloud with TensorFlow Serving. Machine learning Artificial intelligence Apprentissage automatique Intelligence artificielle artificial intelligence Audiobooks Livres audio Jackson, Timothy Howard ErzählerIn nrt |
| spellingShingle | Moroney, Laurence AI and machine learning for coders a programmer's guide to artificial intelligence Machine learning Artificial intelligence Apprentissage automatique Intelligence artificielle artificial intelligence Audiobooks Livres audio |
| title | AI and machine learning for coders a programmer's guide to artificial intelligence |
| title_auth | AI and machine learning for coders a programmer's guide to artificial intelligence |
| title_exact_search | AI and machine learning for coders a programmer's guide to artificial intelligence |
| title_full | AI and machine learning for coders a programmer's guide to artificial intelligence Laurence Moroney |
| title_fullStr | AI and machine learning for coders a programmer's guide to artificial intelligence Laurence Moroney |
| title_full_unstemmed | AI and machine learning for coders a programmer's guide to artificial intelligence Laurence Moroney |
| title_short | AI and machine learning for coders |
| title_sort | ai and machine learning for coders a programmer s guide to artificial intelligence |
| title_sub | a programmer's guide to artificial intelligence |
| topic | Machine learning Artificial intelligence Apprentissage automatique Intelligence artificielle artificial intelligence Audiobooks Livres audio |
| topic_facet | Machine learning Artificial intelligence Apprentissage automatique Intelligence artificielle artificial intelligence Audiobooks Livres audio |
| work_keys_str_mv | AT moroneylaurence aiandmachinelearningforcodersaprogrammersguidetoartificialintelligence AT jacksontimothyhoward aiandmachinelearningforcodersaprogrammersguidetoartificialintelligence |