Scikit-learn, Keras, TensorFlow ni yoru jissen kikai gakushū:
Scikit-learn, Keras, TensorFlowによる実践機械学習 /
"Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Weitere beteiligte Personen: | , |
| Format: | Elektronisch E-Book |
| Sprache: | Japanisch |
| Veröffentlicht: |
Tōkyō-to Shinjuku-ku
Orairī Japan
2020
|
| Ausgabe: | Dai 2-han. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9784873119281/?ar |
| Zusammenfassung: | "Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks - Scikit-Learn and TensorFlow 2 - the author helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started." -- |
| Beschreibung: | Online resource; title from title details screen (O'Reilly, viewed April 20, 2022) |
| Umfang: | 1 Online-Ressource (832 Seiten) |
| ISBN: | 9784873119281 4873119286 |
Internformat
MARC
| LEADER | 00000cam a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-078668778 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228121641.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 220609s2020 xx |||||o 00| ||jpn c | ||
| 020 | |a 9784873119281 |c electronic bk. |9 978-4-87311-928-1 | ||
| 020 | |a 4873119286 |c electronic bk. |9 4-87311-928-6 | ||
| 035 | |a (DE-627-1)078668778 | ||
| 035 | |a (DE-599)KEP078668778 | ||
| 035 | |a (ORHE)9784873119281 | ||
| 035 | |a (DE-627-1)078668778 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a jpn | ||
| 082 | 0 | |a 006.3/1 |2 23/eng/20220420 | |
| 100 | 1 | |a Géron, Aurélien |e VerfasserIn |4 aut | |
| 240 | 1 | 0 | |a Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow |
| 245 | 1 | 0 | |6 880-01 |a Scikit-learn, Keras, TensorFlow ni yoru jissen kikai gakushū |c Aurelien Geron cho ; Shimoda Norihiro kan'yaku ; Nagao Takahiro yaku = Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow / Aurélien Géron |
| 250 | |6 880-02 |a Dai 2-han. | ||
| 264 | 1 | |6 880-03 |a Tōkyō-to Shinjuku-ku |b Orairī Japan |c 2020 | |
| 300 | |a 1 Online-Ressource (832 Seiten) | ||
| 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 April 20, 2022) | ||
| 520 | |a "Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks - Scikit-Learn and TensorFlow 2 - the author helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started." -- | ||
| 630 | 2 | 0 | |a TensorFlow |
| 650 | 0 | |a Machine learning | |
| 650 | 0 | |a Artificial intelligence | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 2 | |a Artificial Intelligence | |
| 650 | 2 | |a Machine Learning | |
| 650 | 4 | |a Apprentissage automatique | |
| 650 | 4 | |a Intelligence artificielle | |
| 650 | 4 | |a Python (Langage de programmation) | |
| 650 | 4 | |a artificial intelligence | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Machine learning | |
| 650 | 4 | |a Python (Computer program language) | |
| 700 | 1 | |a Shimoda, Norihiro |e ÜbersetzerIn |4 trl | |
| 700 | 1 | |a Nagao, Takahiro |d 1960- |e ÜbersetzerIn |4 trl | |
| 775 | 0 | 8 | |i Parallele Sprachausgabe |t Saikittorān to tensorufurō ni yoru jissen kikai gakushū. |z 9784873118345 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9784873119281/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 880 | 1 | 0 | |6 245-01/Chin |a Scikit-learn, Keras, TensorFlowによる実践機械学習 / |c Aurélien Géron著 ; 下田倫大監訳 ; 長尾高弘訳 = Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow / Aurélien Géron. |
| 880 | |6 250-02/Chin |a 第 2版. | ||
| 880 | 1 | |6 264-03/Chin |a 東京都新宿区 |b オライリー・ジャパン |c 2020 | |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-078668778 |
|---|---|
| _version_ | 1829007735210901504 |
| adam_text | |
| any_adam_object | |
| author | Géron, Aurélien |
| author2 | Shimoda, Norihiro Nagao, Takahiro 1960- |
| author2_role | trl trl |
| author2_variant | n s ns t n tn |
| author_facet | Géron, Aurélien Shimoda, Norihiro Nagao, Takahiro 1960- |
| author_role | aut |
| author_sort | Géron, Aurélien |
| author_variant | a g ag |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)078668778 (DE-599)KEP078668778 (ORHE)9784873119281 |
| dewey-full | 006.3/1 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/1 |
| dewey-search | 006.3/1 |
| dewey-sort | 16.3 11 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | Dai 2-han. |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03426cam a22006012c 4500</leader><controlfield tag="001">ZDB-30-ORH-078668778</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121641.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220609s2020 xx |||||o 00| ||jpn c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9784873119281</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-4-87311-928-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">4873119286</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">4-87311-928-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)078668778</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP078668778</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9784873119281</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)078668778</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">jpn</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3/1</subfield><subfield code="2">23/eng/20220420</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Géron, Aurélien</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="240" ind1="1" ind2="0"><subfield code="a">Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="6">880-01</subfield><subfield code="a">Scikit-learn, Keras, TensorFlow ni yoru jissen kikai gakushū</subfield><subfield code="c">Aurelien Geron cho ; Shimoda Norihiro kan'yaku ; Nagao Takahiro yaku = Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow / Aurélien Géron</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="6">880-02</subfield><subfield code="a">Dai 2-han.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="6">880-03</subfield><subfield code="a">Tōkyō-to Shinjuku-ku</subfield><subfield code="b">Orairī Japan</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (832 Seiten)</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 April 20, 2022)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks - Scikit-Learn and TensorFlow 2 - the author helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started." --</subfield></datafield><datafield tag="630" ind1="2" ind2="0"><subfield code="a">TensorFlow</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">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">Machine Learning</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">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></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shimoda, Norihiro</subfield><subfield code="e">ÜbersetzerIn</subfield><subfield code="4">trl</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nagao, Takahiro</subfield><subfield code="d">1960-</subfield><subfield code="e">ÜbersetzerIn</subfield><subfield code="4">trl</subfield></datafield><datafield tag="775" ind1="0" ind2="8"><subfield code="i">Parallele Sprachausgabe</subfield><subfield code="t">Saikittorān to tensorufurō ni yoru jissen kikai gakushū.</subfield><subfield code="z">9784873118345</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/-/9784873119281/?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="880" ind1="1" ind2="0"><subfield code="6">245-01/Chin</subfield><subfield code="a">Scikit-learn, Keras, TensorFlowによる実践機械学習 /</subfield><subfield code="c">Aurélien Géron著 ; 下田倫大監訳 ; 長尾高弘訳 = Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow / Aurélien Géron.</subfield></datafield><datafield tag="880" ind1=" " ind2=" "><subfield code="6">250-02/Chin</subfield><subfield code="a">第 2版.</subfield></datafield><datafield tag="880" ind1=" " ind2="1"><subfield code="6">264-03/Chin</subfield><subfield code="a">東京都新宿区</subfield><subfield code="b">オライリー・ジャパン</subfield><subfield code="c">2020</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-078668778 |
| illustrated | Not Illustrated |
| indexdate | 2025-04-10T09:35:01Z |
| institution | BVB |
| isbn | 9784873119281 4873119286 |
| language | Japanese |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (832 Seiten) |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Orairī Japan |
| record_format | marc |
| spelling | Géron, Aurélien VerfasserIn aut Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow 880-01 Scikit-learn, Keras, TensorFlow ni yoru jissen kikai gakushū Aurelien Geron cho ; Shimoda Norihiro kan'yaku ; Nagao Takahiro yaku = Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow / Aurélien Géron 880-02 Dai 2-han. 880-03 Tōkyō-to Shinjuku-ku Orairī Japan 2020 1 Online-Ressource (832 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title details screen (O'Reilly, viewed April 20, 2022) "Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks - Scikit-Learn and TensorFlow 2 - the author helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started." -- TensorFlow Machine learning Artificial intelligence Python (Computer program language) Artificial Intelligence Machine Learning Apprentissage automatique Intelligence artificielle Python (Langage de programmation) artificial intelligence Shimoda, Norihiro ÜbersetzerIn trl Nagao, Takahiro 1960- ÜbersetzerIn trl Parallele Sprachausgabe Saikittorān to tensorufurō ni yoru jissen kikai gakushū. 9784873118345 245-01/Chin Scikit-learn, Keras, TensorFlowによる実践機械学習 / Aurélien Géron著 ; 下田倫大監訳 ; 長尾高弘訳 = Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow / Aurélien Géron. 250-02/Chin 第 2版. 264-03/Chin 東京都新宿区 オライリー・ジャパン 2020 |
| spellingShingle | Géron, Aurélien Scikit-learn, Keras, TensorFlow ni yoru jissen kikai gakushū TensorFlow Machine learning Artificial intelligence Python (Computer program language) Artificial Intelligence Machine Learning Apprentissage automatique Intelligence artificielle Python (Langage de programmation) artificial intelligence |
| title | Scikit-learn, Keras, TensorFlow ni yoru jissen kikai gakushū |
| title_alt | Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow |
| title_auth | Scikit-learn, Keras, TensorFlow ni yoru jissen kikai gakushū |
| title_exact_search | Scikit-learn, Keras, TensorFlow ni yoru jissen kikai gakushū |
| title_full | Scikit-learn, Keras, TensorFlow ni yoru jissen kikai gakushū Aurelien Geron cho ; Shimoda Norihiro kan'yaku ; Nagao Takahiro yaku = Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow / Aurélien Géron |
| title_fullStr | Scikit-learn, Keras, TensorFlow ni yoru jissen kikai gakushū Aurelien Geron cho ; Shimoda Norihiro kan'yaku ; Nagao Takahiro yaku = Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow / Aurélien Géron |
| title_full_unstemmed | Scikit-learn, Keras, TensorFlow ni yoru jissen kikai gakushū Aurelien Geron cho ; Shimoda Norihiro kan'yaku ; Nagao Takahiro yaku = Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow / Aurélien Géron |
| title_short | Scikit-learn, Keras, TensorFlow ni yoru jissen kikai gakushū |
| title_sort | scikit learn keras tensorflow ni yoru jissen kikai gakushu |
| topic | TensorFlow Machine learning Artificial intelligence Python (Computer program language) Artificial Intelligence Machine Learning Apprentissage automatique Intelligence artificielle Python (Langage de programmation) artificial intelligence |
| topic_facet | TensorFlow Machine learning Artificial intelligence Python (Computer program language) Artificial Intelligence Machine Learning Apprentissage automatique Intelligence artificielle Python (Langage de programmation) artificial intelligence |
| work_keys_str_mv | AT geronaurelien handsonmachinelearningwithscikitlearnkerasandtensorflow AT shimodanorihiro handsonmachinelearningwithscikitlearnkerasandtensorflow AT nagaotakahiro handsonmachinelearningwithscikitlearnkerasandtensorflow AT geronaurelien scikitlearnkerastensorflowniyorujissenkikaigakushu AT shimodanorihiro scikitlearnkerastensorflowniyorujissenkikaigakushu AT nagaotakahiro scikitlearnkerastensorflowniyorujissenkikaigakushu |