Hands-on artificial intelligence on Amazon Web Services :: decrease the time to market for AI and ML applications with the power of AWS /
AI in AWS covers primarily two broad topics - a) how to leverage readily available AI/ML APIs and b) how to build, train and deploy ML models from scratch, to solve diverse business problems, such as demand forecasting, image classification, topic modeling, speech and text recognition.
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing, Limited,
2019
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | AI in AWS covers primarily two broad topics - a) how to leverage readily available AI/ML APIs and b) how to build, train and deploy ML models from scratch, to solve diverse business problems, such as demand forecasting, image classification, topic modeling, speech and text recognition. |
| Beschreibung: | 1 online resource (vi, 412 pages) : black and white illustrations |
| ISBN: | 9781789534146 1789534143 9781789531473 1789531470 |
Internformat
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-4-EBA-on1138742279 | ||
| 003 | OCoLC | ||
| 005 | 20241004212047.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 200202s2019 enka o 000 0 eng d | ||
| 040 | |a SIITE |b eng |e rda |c SIITE |d OCLCF |d NZTOI |d OCLCQ |d EBLCP |d TEFOD |d UKAHL |d N$T |d OCLCO |d NLW |d OCLCO |d K6U |d OCLCQ |d OCLCO |d OCLCL |d SXB | ||
| 019 | |a 1122923326 |a 1437301327 | ||
| 020 | |a 9781789534146 |q (paperback) | ||
| 020 | |a 1789534143 |q (paperback) | ||
| 020 | |a 9781789531473 |q (electronic bk.) | ||
| 020 | |a 1789531470 |q (electronic bk.) | ||
| 035 | |a (OCoLC)1138742279 |z (OCoLC)1122923326 |z (OCoLC)1437301327 | ||
| 037 | |a C4C0C653-AFDA-4036-8850-7B1DD0B553E4 |b OverDrive, Inc. |n http://www.overdrive.com | ||
| 050 | 4 | |a Q325.5 | |
| 082 | 7 | |a 006.31 |2 23 | |
| 049 | |a MAIN | ||
| 100 | 1 | |a Tripuraneni, Subhashini, |e author | |
| 245 | 1 | 0 | |a Hands-on artificial intelligence on Amazon Web Services : |b decrease the time to market for AI and ML applications with the power of AWS / |c Subhashini Tripuraneni ; Charles Song |
| 264 | 1 | |a Birmingham : |b Packt Publishing, Limited, |c 2019 | |
| 300 | |a 1 online resource (vi, 412 pages) : |b black and white illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a unmediated |b n |2 rdamedia | ||
| 338 | |a volume |b nc |2 rdacarrier | ||
| 520 | |a AI in AWS covers primarily two broad topics - a) how to leverage readily available AI/ML APIs and b) how to build, train and deploy ML models from scratch, to solve diverse business problems, such as demand forecasting, image classification, topic modeling, speech and text recognition. | ||
| 505 | 0 | |a Section 1: Introduction and anatomy of a modern AI -- Chapter 1: Introduction to artificial intelligence on Amazon Web Services -- Chapter 2: Anatomy of a modern AI application -- Section 2: Building applications with AWS AI -- Chapter 3: Detecting and translating text with Amazon Rekognition -- Chapter 4: Performing speech-to-text and vice versa with Amazon transcribe and Polly -- Chapter 5: Extracting information from text with Amazon comprehend -- Chapter 6: Building a voice chatbot with Amazon Lex -- Section 3: Training machine learning models with Amazon SageMaker -- Chapter 7: Working with Amazon Sagemaker -- Chapter 8 : Creating machine learning inference pipelines -- Chapter 9 : Discovering topics in text collection -- Chapter 10: Classifying images using Amazon Sagemaker -- Chapter 11: Sales forecasting with Deep Learning and Auto Regression -- Section 4: Machine learning model monitoring and governance -- Chapter 12: Model accuracy degradation and feedback loops. | |
| 610 | 2 | 0 | |a Amazon Web Services (Firm) |0 http://id.loc.gov/authorities/names/no2015140713 |
| 610 | 2 | 7 | |a Amazon Web Services (Firm) |2 fast |
| 650 | 0 | |a Machine learning. |0 http://id.loc.gov/authorities/subjects/sh85079324 | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 7 | |a Distributed systems. |2 bicssc | |
| 650 | 7 | |a Mathematical theory of computation. |2 bicssc | |
| 650 | 7 | |a Machine learning. |2 bicssc | |
| 650 | 7 | |a Artificial intelligence. |2 bicssc | |
| 650 | 7 | |a Computers |x Machine Theory. |2 bisacsh | |
| 650 | 7 | |a Computers |x Systems Architecture |x Distributed Systems & Computing. |2 bisacsh | |
| 650 | 7 | |a Computers |x Intelligence (AI) & Semantics. |2 bisacsh | |
| 650 | 7 | |a Machine learning |2 fast | |
| 655 | 4 | |a Electronic book. | |
| 700 | 1 | |a Song, Charles, |e author | |
| 758 | |i has work: |a Hands-On Artificial Intelligence on Amazon Web Services (Work) |1 https://id.oclc.org/worldcat/entity/E39PD3PHrfqRhjY4wqp7hMkJQm |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Tripuraneni, Subhashini. |t Hands-On Artificial Intelligence on Amazon Web Services : Decrease the Time to Market for AI and ML Applications with the Power of AWS. |d Birmingham : Packt Publishing, Limited, ©2019 |z 9781789534146 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2267636 |3 Volltext |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH36752038 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL5928313 | ||
| 938 | |a EBSCOhost |b EBSC |n 2267636 | ||
| 994 | |a 92 |b GEBAY | ||
| 912 | |a ZDB-4-EBA | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-on1138742279 |
|---|---|
| _version_ | 1816882510178549760 |
| adam_text | |
| any_adam_object | |
| author | Tripuraneni, Subhashini Song, Charles |
| author_facet | Tripuraneni, Subhashini Song, Charles |
| author_role | aut aut |
| author_sort | Tripuraneni, Subhashini |
| author_variant | s t st c s cs |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | Q325 |
| callnumber-raw | Q325.5 |
| callnumber-search | Q325.5 |
| callnumber-sort | Q 3325.5 |
| callnumber-subject | Q - General Science |
| collection | ZDB-4-EBA |
| contents | Section 1: Introduction and anatomy of a modern AI -- Chapter 1: Introduction to artificial intelligence on Amazon Web Services -- Chapter 2: Anatomy of a modern AI application -- Section 2: Building applications with AWS AI -- Chapter 3: Detecting and translating text with Amazon Rekognition -- Chapter 4: Performing speech-to-text and vice versa with Amazon transcribe and Polly -- Chapter 5: Extracting information from text with Amazon comprehend -- Chapter 6: Building a voice chatbot with Amazon Lex -- Section 3: Training machine learning models with Amazon SageMaker -- Chapter 7: Working with Amazon Sagemaker -- Chapter 8 : Creating machine learning inference pipelines -- Chapter 9 : Discovering topics in text collection -- Chapter 10: Classifying images using Amazon Sagemaker -- Chapter 11: Sales forecasting with Deep Learning and Auto Regression -- Section 4: Machine learning model monitoring and governance -- Chapter 12: Model accuracy degradation and feedback loops. |
| ctrlnum | (OCoLC)1138742279 |
| 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 |
| format | eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04147cam a2200589 i 4500</leader><controlfield tag="001">ZDB-4-EBA-on1138742279</controlfield><controlfield tag="003">OCoLC</controlfield><controlfield tag="005">20241004212047.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr cnu---unuuu</controlfield><controlfield tag="008">200202s2019 enka o 000 0 eng d</controlfield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">SIITE</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">SIITE</subfield><subfield code="d">OCLCF</subfield><subfield code="d">NZTOI</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">EBLCP</subfield><subfield code="d">TEFOD</subfield><subfield code="d">UKAHL</subfield><subfield code="d">N$T</subfield><subfield code="d">OCLCO</subfield><subfield code="d">NLW</subfield><subfield code="d">OCLCO</subfield><subfield code="d">K6U</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCL</subfield><subfield code="d">SXB</subfield></datafield><datafield tag="019" ind1=" " ind2=" "><subfield code="a">1122923326</subfield><subfield code="a">1437301327</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781789534146</subfield><subfield code="q">(paperback)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1789534143</subfield><subfield code="q">(paperback)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781789531473</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1789531470</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1138742279</subfield><subfield code="z">(OCoLC)1122923326</subfield><subfield code="z">(OCoLC)1437301327</subfield></datafield><datafield tag="037" ind1=" " ind2=" "><subfield code="a">C4C0C653-AFDA-4036-8850-7B1DD0B553E4</subfield><subfield code="b">OverDrive, Inc.</subfield><subfield code="n">http://www.overdrive.com</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">Q325.5</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">006.31</subfield><subfield code="2">23</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">MAIN</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Tripuraneni, Subhashini,</subfield><subfield code="e">author</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Hands-on artificial intelligence on Amazon Web Services :</subfield><subfield code="b">decrease the time to market for AI and ML applications with the power of AWS /</subfield><subfield code="c">Subhashini Tripuraneni ; Charles Song</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham :</subfield><subfield code="b">Packt Publishing, Limited,</subfield><subfield code="c">2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (vi, 412 pages) :</subfield><subfield code="b">black and white illustrations</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">unmediated</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">volume</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">AI in AWS covers primarily two broad topics - a) how to leverage readily available AI/ML APIs and b) how to build, train and deploy ML models from scratch, to solve diverse business problems, such as demand forecasting, image classification, topic modeling, speech and text recognition.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Section 1: Introduction and anatomy of a modern AI -- Chapter 1: Introduction to artificial intelligence on Amazon Web Services -- Chapter 2: Anatomy of a modern AI application -- Section 2: Building applications with AWS AI -- Chapter 3: Detecting and translating text with Amazon Rekognition -- Chapter 4: Performing speech-to-text and vice versa with Amazon transcribe and Polly -- Chapter 5: Extracting information from text with Amazon comprehend -- Chapter 6: Building a voice chatbot with Amazon Lex -- Section 3: Training machine learning models with Amazon SageMaker -- Chapter 7: Working with Amazon Sagemaker -- Chapter 8 : Creating machine learning inference pipelines -- Chapter 9 : Discovering topics in text collection -- Chapter 10: Classifying images using Amazon Sagemaker -- Chapter 11: Sales forecasting with Deep Learning and Auto Regression -- Section 4: Machine learning model monitoring and governance -- Chapter 12: Model accuracy degradation and feedback loops.</subfield></datafield><datafield tag="610" ind1="2" ind2="0"><subfield code="a">Amazon Web Services (Firm)</subfield><subfield code="0">http://id.loc.gov/authorities/names/no2015140713</subfield></datafield><datafield tag="610" ind1="2" ind2="7"><subfield code="a">Amazon Web Services (Firm)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh85079324</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Apprentissage automatique.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Distributed systems.</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Mathematical theory of computation.</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Machine learning.</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Artificial intelligence.</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Computers</subfield><subfield code="x">Machine Theory.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Computers</subfield><subfield code="x">Systems Architecture</subfield><subfield code="x">Distributed Systems & Computing.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Computers</subfield><subfield code="x">Intelligence (AI) & Semantics.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Machine learning</subfield><subfield code="2">fast</subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic book.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Song, Charles,</subfield><subfield code="e">author</subfield></datafield><datafield tag="758" ind1=" " ind2=" "><subfield code="i">has work:</subfield><subfield code="a">Hands-On Artificial Intelligence on Amazon Web Services (Work)</subfield><subfield code="1">https://id.oclc.org/worldcat/entity/E39PD3PHrfqRhjY4wqp7hMkJQm</subfield><subfield code="4">https://id.oclc.org/worldcat/ontology/hasWork</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Tripuraneni, Subhashini.</subfield><subfield code="t">Hands-On Artificial Intelligence on Amazon Web Services : Decrease the Time to Market for AI and ML Applications with the Power of AWS.</subfield><subfield code="d">Birmingham : Packt Publishing, Limited, ©2019</subfield><subfield code="z">9781789534146</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2267636</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">Askews and Holts Library Services</subfield><subfield code="b">ASKH</subfield><subfield code="n">AH36752038</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">ProQuest Ebook Central</subfield><subfield code="b">EBLB</subfield><subfield code="n">EBL5928313</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBSCOhost</subfield><subfield code="b">EBSC</subfield><subfield code="n">2267636</subfield></datafield><datafield tag="994" ind1=" " ind2=" "><subfield code="a">92</subfield><subfield code="b">GEBAY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBA</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| genre | Electronic book. |
| genre_facet | Electronic book. |
| id | ZDB-4-EBA-on1138742279 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:29:45Z |
| institution | BVB |
| isbn | 9781789534146 1789534143 9781789531473 1789531470 |
| language | English |
| oclc_num | 1138742279 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (vi, 412 pages) : black and white illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Packt Publishing, Limited, |
| record_format | marc |
| spelling | Tripuraneni, Subhashini, author Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS / Subhashini Tripuraneni ; Charles Song Birmingham : Packt Publishing, Limited, 2019 1 online resource (vi, 412 pages) : black and white illustrations text txt rdacontent unmediated n rdamedia volume nc rdacarrier AI in AWS covers primarily two broad topics - a) how to leverage readily available AI/ML APIs and b) how to build, train and deploy ML models from scratch, to solve diverse business problems, such as demand forecasting, image classification, topic modeling, speech and text recognition. Section 1: Introduction and anatomy of a modern AI -- Chapter 1: Introduction to artificial intelligence on Amazon Web Services -- Chapter 2: Anatomy of a modern AI application -- Section 2: Building applications with AWS AI -- Chapter 3: Detecting and translating text with Amazon Rekognition -- Chapter 4: Performing speech-to-text and vice versa with Amazon transcribe and Polly -- Chapter 5: Extracting information from text with Amazon comprehend -- Chapter 6: Building a voice chatbot with Amazon Lex -- Section 3: Training machine learning models with Amazon SageMaker -- Chapter 7: Working with Amazon Sagemaker -- Chapter 8 : Creating machine learning inference pipelines -- Chapter 9 : Discovering topics in text collection -- Chapter 10: Classifying images using Amazon Sagemaker -- Chapter 11: Sales forecasting with Deep Learning and Auto Regression -- Section 4: Machine learning model monitoring and governance -- Chapter 12: Model accuracy degradation and feedback loops. Amazon Web Services (Firm) http://id.loc.gov/authorities/names/no2015140713 Amazon Web Services (Firm) fast Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Apprentissage automatique. Distributed systems. bicssc Mathematical theory of computation. bicssc Machine learning. bicssc Artificial intelligence. bicssc Computers Machine Theory. bisacsh Computers Systems Architecture Distributed Systems & Computing. bisacsh Computers Intelligence (AI) & Semantics. bisacsh Machine learning fast Electronic book. Song, Charles, author has work: Hands-On Artificial Intelligence on Amazon Web Services (Work) https://id.oclc.org/worldcat/entity/E39PD3PHrfqRhjY4wqp7hMkJQm https://id.oclc.org/worldcat/ontology/hasWork Print version: Tripuraneni, Subhashini. Hands-On Artificial Intelligence on Amazon Web Services : Decrease the Time to Market for AI and ML Applications with the Power of AWS. Birmingham : Packt Publishing, Limited, ©2019 9781789534146 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2267636 Volltext |
| spellingShingle | Tripuraneni, Subhashini Song, Charles Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS / Section 1: Introduction and anatomy of a modern AI -- Chapter 1: Introduction to artificial intelligence on Amazon Web Services -- Chapter 2: Anatomy of a modern AI application -- Section 2: Building applications with AWS AI -- Chapter 3: Detecting and translating text with Amazon Rekognition -- Chapter 4: Performing speech-to-text and vice versa with Amazon transcribe and Polly -- Chapter 5: Extracting information from text with Amazon comprehend -- Chapter 6: Building a voice chatbot with Amazon Lex -- Section 3: Training machine learning models with Amazon SageMaker -- Chapter 7: Working with Amazon Sagemaker -- Chapter 8 : Creating machine learning inference pipelines -- Chapter 9 : Discovering topics in text collection -- Chapter 10: Classifying images using Amazon Sagemaker -- Chapter 11: Sales forecasting with Deep Learning and Auto Regression -- Section 4: Machine learning model monitoring and governance -- Chapter 12: Model accuracy degradation and feedback loops. Amazon Web Services (Firm) http://id.loc.gov/authorities/names/no2015140713 Amazon Web Services (Firm) fast Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Apprentissage automatique. Distributed systems. bicssc Mathematical theory of computation. bicssc Machine learning. bicssc Artificial intelligence. bicssc Computers Machine Theory. bisacsh Computers Systems Architecture Distributed Systems & Computing. bisacsh Computers Intelligence (AI) & Semantics. bisacsh Machine learning fast |
| subject_GND | http://id.loc.gov/authorities/names/no2015140713 http://id.loc.gov/authorities/subjects/sh85079324 |
| title | Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS / |
| title_auth | Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS / |
| title_exact_search | Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS / |
| title_full | Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS / Subhashini Tripuraneni ; Charles Song |
| title_fullStr | Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS / Subhashini Tripuraneni ; Charles Song |
| title_full_unstemmed | Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS / Subhashini Tripuraneni ; Charles Song |
| title_short | Hands-on artificial intelligence on Amazon Web Services : |
| title_sort | hands on artificial intelligence on amazon web services decrease the time to market for ai and ml applications with the power of aws |
| title_sub | decrease the time to market for AI and ML applications with the power of AWS / |
| topic | Amazon Web Services (Firm) http://id.loc.gov/authorities/names/no2015140713 Amazon Web Services (Firm) fast Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Apprentissage automatique. Distributed systems. bicssc Mathematical theory of computation. bicssc Machine learning. bicssc Artificial intelligence. bicssc Computers Machine Theory. bisacsh Computers Systems Architecture Distributed Systems & Computing. bisacsh Computers Intelligence (AI) & Semantics. bisacsh Machine learning fast |
| topic_facet | Amazon Web Services (Firm) Machine learning. Apprentissage automatique. Distributed systems. Mathematical theory of computation. Artificial intelligence. Computers Machine Theory. Computers Systems Architecture Distributed Systems & Computing. Computers Intelligence (AI) & Semantics. Machine learning Electronic book. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2267636 |
| work_keys_str_mv | AT tripuranenisubhashini handsonartificialintelligenceonamazonwebservicesdecreasethetimetomarketforaiandmlapplicationswiththepowerofaws AT songcharles handsonartificialintelligenceonamazonwebservicesdecreasethetimetomarketforaiandmlapplicationswiththepowerofaws |