The supervised learning workshop: a new, interactive approach to understanding supervised learning algorithms
bCut through the noise and get real results with a step-by-step approach to understanding supervised learning algorithms/b h4Key Features/h4 ulliIdeal for those getting started with machine learning for the first time /li liA step-by-step machine learning tutorial with exercises and activities that...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt
February 2020
|
| Ausgabe: | Second edition |
| Schlagworte: | |
| Online-Zugang: | UBY01 |
| Zusammenfassung: | bCut through the noise and get real results with a step-by-step approach to understanding supervised learning algorithms/b h4Key Features/h4 ulliIdeal for those getting started with machine learning for the first time /li liA step-by-step machine learning tutorial with exercises and activities that help build key skills /li liStructured to let you progress at your own pace, on your own terms /li liUse your physical print copy to redeem free access to the online interactive edition/li/ul h4Book Description/h4 You already know you want to understand supervised learning, and a smarter way to do that is to learn by doing. The Supervised Learning Workshop focuses on building up your practical skills so that you can deploy and build solutions that leverage key supervised learning algorithms. You'll learn from real examples that lead to real results. Throughout The Supervised Learning Workshop, you'll take an engaging step-by-step approach to understand supervised learning. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend learning how to predict future values with auto regressors. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Supervised Learning Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your book. Fast-paced and direct, The Supervised Learning Workshop is the ideal companion for those with some Python background who are getting started with machine learning. You'll learn how to apply key algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead. h4What you will learn/h4 ulliGet to grips with the fundamental of supervised learning algorithms /li liDiscover how to use Python libraries for supervised learning /li liLearn how to load a dataset in pandas for testing /li liUse different types of plots to visually represent the data /li liDistinguish between regression and classification problems /li liLearn how to perform classification using K-NN and decision trees/li/ul h4Who this book is for/h4 Our goal at Packt is to help you be successful, in whatever it is you choose to do. |
| Beschreibung: | 1 Online-Ressource (iv, 465 Seiten) |
| ISBN: | 9781800208322 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV047070005 | ||
| 003 | DE-604 | ||
| 005 | 20210423 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 201218s2020 |||| o||u| ||||||eng d | ||
| 020 | |a 9781800208322 |9 978-1-80020-832-2 | ||
| 035 | |a (ZDB-5-WPSE)9781800208322490 | ||
| 035 | |a (ZDB-4-NLEBK)2384228 | ||
| 035 | |a (OCoLC)1227478890 | ||
| 035 | |a (DE-599)BVBBV047070005 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-706 | ||
| 100 | 1 | |a Bateman, Blaine |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a The supervised learning workshop |b a new, interactive approach to understanding supervised learning algorithms |c Blaine Bateman, Ashish Ranjan Jha, Benjamin Johnston, and Ishita Mathur |
| 250 | |a Second edition | ||
| 264 | 1 | |a Birmingham |b Packt |c February 2020 | |
| 300 | |a 1 Online-Ressource (iv, 465 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 520 | |a bCut through the noise and get real results with a step-by-step approach to understanding supervised learning algorithms/b h4Key Features/h4 ulliIdeal for those getting started with machine learning for the first time /li liA step-by-step machine learning tutorial with exercises and activities that help build key skills /li liStructured to let you progress at your own pace, on your own terms /li liUse your physical print copy to redeem free access to the online interactive edition/li/ul h4Book Description/h4 You already know you want to understand supervised learning, and a smarter way to do that is to learn by doing. The Supervised Learning Workshop focuses on building up your practical skills so that you can deploy and build solutions that leverage key supervised learning algorithms. You'll learn from real examples that lead to real results. Throughout The Supervised Learning Workshop, you'll take an engaging step-by-step approach to understand supervised learning. | ||
| 520 | |a You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend learning how to predict future values with auto regressors. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Supervised Learning Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your book. | ||
| 520 | |a Fast-paced and direct, The Supervised Learning Workshop is the ideal companion for those with some Python background who are getting started with machine learning. You'll learn how to apply key algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead. h4What you will learn/h4 ulliGet to grips with the fundamental of supervised learning algorithms /li liDiscover how to use Python libraries for supervised learning /li liLearn how to load a dataset in pandas for testing /li liUse different types of plots to visually represent the data /li liDistinguish between regression and classification problems /li liLearn how to perform classification using K-NN and decision trees/li/ul h4Who this book is for/h4 Our goal at Packt is to help you be successful, in whatever it is you choose to do. | ||
| 650 | 4 | |a COMPUTERS / Neural Networks | |
| 650 | 4 | |a COMPUTERS / Intelligence (AI) & | |
| 650 | 4 | |a Semantics | |
| 700 | 1 | |a Jha, Ashish Ranjan |4 aut | |
| 700 | 1 | |a Johnston, Benjamin |4 aut | |
| 700 | 1 | |a Mathur, Ishita |4 aut | |
| 912 | |a ZDB-5-WPSE |a ZDB-4-NLEBK | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032477031 | ||
| 966 | e | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2384228 |l UBY01 |p ZDB-4-NLEBK |q UBY01_DDA21 |x Aggregator |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804182072417320960 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Bateman, Blaine Jha, Ashish Ranjan Johnston, Benjamin Mathur, Ishita |
| author_facet | Bateman, Blaine Jha, Ashish Ranjan Johnston, Benjamin Mathur, Ishita |
| author_role | aut aut aut aut |
| author_sort | Bateman, Blaine |
| author_variant | b b bb a r j ar arj b j bj i m im |
| building | Verbundindex |
| bvnumber | BV047070005 |
| collection | ZDB-5-WPSE ZDB-4-NLEBK |
| ctrlnum | (ZDB-5-WPSE)9781800208322490 (ZDB-4-NLEBK)2384228 (OCoLC)1227478890 (DE-599)BVBBV047070005 |
| edition | Second edition |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04232nmm a2200421zc 4500</leader><controlfield tag="001">BV047070005</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20210423 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">201218s2020 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781800208322</subfield><subfield code="9">978-1-80020-832-2</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-5-WPSE)9781800208322490</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-4-NLEBK)2384228</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1227478890</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047070005</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-706</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bateman, Blaine</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">The supervised learning workshop</subfield><subfield code="b">a new, interactive approach to understanding supervised learning algorithms</subfield><subfield code="c">Blaine Bateman, Ashish Ranjan Jha, Benjamin Johnston, and Ishita Mathur</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Second edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham</subfield><subfield code="b">Packt</subfield><subfield code="c">February 2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (iv, 465 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">bCut through the noise and get real results with a step-by-step approach to understanding supervised learning algorithms/b h4Key Features/h4 ulliIdeal for those getting started with machine learning for the first time /li liA step-by-step machine learning tutorial with exercises and activities that help build key skills /li liStructured to let you progress at your own pace, on your own terms /li liUse your physical print copy to redeem free access to the online interactive edition/li/ul h4Book Description/h4 You already know you want to understand supervised learning, and a smarter way to do that is to learn by doing. The Supervised Learning Workshop focuses on building up your practical skills so that you can deploy and build solutions that leverage key supervised learning algorithms. You'll learn from real examples that lead to real results. Throughout The Supervised Learning Workshop, you'll take an engaging step-by-step approach to understand supervised learning. </subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend learning how to predict future values with auto regressors. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Supervised Learning Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your book. </subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Fast-paced and direct, The Supervised Learning Workshop is the ideal companion for those with some Python background who are getting started with machine learning. You'll learn how to apply key algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead. h4What you will learn/h4 ulliGet to grips with the fundamental of supervised learning algorithms /li liDiscover how to use Python libraries for supervised learning /li liLearn how to load a dataset in pandas for testing /li liUse different types of plots to visually represent the data /li liDistinguish between regression and classification problems /li liLearn how to perform classification using K-NN and decision trees/li/ul h4Who this book is for/h4 Our goal at Packt is to help you be successful, in whatever it is you choose to do. </subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS / Neural Networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS / Intelligence (AI) &amp</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Semantics</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jha, Ashish Ranjan</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Johnston, Benjamin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mathur, Ishita</subfield><subfield code="4">aut</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-5-WPSE</subfield><subfield code="a">ZDB-4-NLEBK</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032477031</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2384228</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-4-NLEBK</subfield><subfield code="q">UBY01_DDA21</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV047070005 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:13:34Z |
| indexdate | 2024-07-10T09:01:44Z |
| institution | BVB |
| isbn | 9781800208322 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032477031 |
| oclc_num | 1227478890 |
| open_access_boolean | |
| owner | DE-706 |
| owner_facet | DE-706 |
| physical | 1 Online-Ressource (iv, 465 Seiten) |
| psigel | ZDB-5-WPSE ZDB-4-NLEBK ZDB-4-NLEBK UBY01_DDA21 |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Packt |
| record_format | marc |
| spelling | Bateman, Blaine Verfasser aut The supervised learning workshop a new, interactive approach to understanding supervised learning algorithms Blaine Bateman, Ashish Ranjan Jha, Benjamin Johnston, and Ishita Mathur Second edition Birmingham Packt February 2020 1 Online-Ressource (iv, 465 Seiten) txt rdacontent c rdamedia cr rdacarrier bCut through the noise and get real results with a step-by-step approach to understanding supervised learning algorithms/b h4Key Features/h4 ulliIdeal for those getting started with machine learning for the first time /li liA step-by-step machine learning tutorial with exercises and activities that help build key skills /li liStructured to let you progress at your own pace, on your own terms /li liUse your physical print copy to redeem free access to the online interactive edition/li/ul h4Book Description/h4 You already know you want to understand supervised learning, and a smarter way to do that is to learn by doing. The Supervised Learning Workshop focuses on building up your practical skills so that you can deploy and build solutions that leverage key supervised learning algorithms. You'll learn from real examples that lead to real results. Throughout The Supervised Learning Workshop, you'll take an engaging step-by-step approach to understand supervised learning. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend learning how to predict future values with auto regressors. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Supervised Learning Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your book. Fast-paced and direct, The Supervised Learning Workshop is the ideal companion for those with some Python background who are getting started with machine learning. You'll learn how to apply key algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead. h4What you will learn/h4 ulliGet to grips with the fundamental of supervised learning algorithms /li liDiscover how to use Python libraries for supervised learning /li liLearn how to load a dataset in pandas for testing /li liUse different types of plots to visually represent the data /li liDistinguish between regression and classification problems /li liLearn how to perform classification using K-NN and decision trees/li/ul h4Who this book is for/h4 Our goal at Packt is to help you be successful, in whatever it is you choose to do. COMPUTERS / Neural Networks COMPUTERS / Intelligence (AI) & Semantics Jha, Ashish Ranjan aut Johnston, Benjamin aut Mathur, Ishita aut |
| spellingShingle | Bateman, Blaine Jha, Ashish Ranjan Johnston, Benjamin Mathur, Ishita The supervised learning workshop a new, interactive approach to understanding supervised learning algorithms COMPUTERS / Neural Networks COMPUTERS / Intelligence (AI) & Semantics |
| title | The supervised learning workshop a new, interactive approach to understanding supervised learning algorithms |
| title_auth | The supervised learning workshop a new, interactive approach to understanding supervised learning algorithms |
| title_exact_search | The supervised learning workshop a new, interactive approach to understanding supervised learning algorithms |
| title_exact_search_txtP | The supervised learning workshop a new, interactive approach to understanding supervised learning algorithms |
| title_full | The supervised learning workshop a new, interactive approach to understanding supervised learning algorithms Blaine Bateman, Ashish Ranjan Jha, Benjamin Johnston, and Ishita Mathur |
| title_fullStr | The supervised learning workshop a new, interactive approach to understanding supervised learning algorithms Blaine Bateman, Ashish Ranjan Jha, Benjamin Johnston, and Ishita Mathur |
| title_full_unstemmed | The supervised learning workshop a new, interactive approach to understanding supervised learning algorithms Blaine Bateman, Ashish Ranjan Jha, Benjamin Johnston, and Ishita Mathur |
| title_short | The supervised learning workshop |
| title_sort | the supervised learning workshop a new interactive approach to understanding supervised learning algorithms |
| title_sub | a new, interactive approach to understanding supervised learning algorithms |
| topic | COMPUTERS / Neural Networks COMPUTERS / Intelligence (AI) & Semantics |
| topic_facet | COMPUTERS / Neural Networks COMPUTERS / Intelligence (AI) & Semantics |
| work_keys_str_mv | AT batemanblaine thesupervisedlearningworkshopanewinteractiveapproachtounderstandingsupervisedlearningalgorithms AT jhaashishranjan thesupervisedlearningworkshopanewinteractiveapproachtounderstandingsupervisedlearningalgorithms AT johnstonbenjamin thesupervisedlearningworkshopanewinteractiveapproachtounderstandingsupervisedlearningalgorithms AT mathurishita thesupervisedlearningworkshopanewinteractiveapproachtounderstandingsupervisedlearningalgorithms |