Data science and machine learning (theory and projects) A to Z
The complete roadmap for beginners to data science and machine learning. About This Video Advanced and recently discovered models and breakthroughs by the champions in the AI field Key data science and machine learning concepts with examples in Python Detailed explanation and live coding with Python...
Gespeichert in:
| Format: | Elektronisch Video |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
[Place of publication not identified]
Packt Publishing
[2021]
|
| Ausgabe: | [First edition]. |
| Schlagworte: | |
| Online-Zugang: | lizenzpflichtig |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
MARC
| LEADER | 00000cgm a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-07101635X | ||
| 003 | DE-627-1 | ||
| 005 | 20240228121616.0 | ||
| 006 | m o | | | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 211206s2021 xx ||| |o o ||eng c | ||
| 035 | |a (DE-627-1)07101635X | ||
| 035 | |a (DE-599)KEP07101635X | ||
| 035 | |a (ORHE)9781803230146 | ||
| 035 | |a (DE-627-1)07101635X | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 006.3/1 |2 23 | |
| 245 | 1 | 0 | |a Data science and machine learning |b (theory and projects) A to Z |
| 250 | |a [First edition]. | ||
| 264 | 1 | |a [Place of publication not identified] |b Packt Publishing |c [2021] | |
| 300 | |a 1 online resource (1 video file (93 hr., 31 min.)) |b sound, color. | ||
| 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 "Updated in November 2021.". - Online resource; title from title details screen (O'Reilly, viewed March 8, 2022) | ||
| 520 | |a The complete roadmap for beginners to data science and machine learning. About This Video Advanced and recently discovered models and breakthroughs by the champions in the AI field Key data science and machine learning concepts with examples in Python Detailed explanation and live coding with Python In Detail This course is crafted to teach you the most in-demand skills in the real world. This course aims to help you understand all the data science and machine learning concepts and methodologies with regard to Python. When you take a quick look at the different sections of this course, you may think of these sections as being independent. However, these sections are interlinked and almost sequential. Each section is an independent concept and is like a course on its own. We have deliberately arranged these sections in a sequence as each subsequent section builds upon the sections you have completed. This framework enables you to explore more independent concepts easily. At the end of every subsection, you are assigned homework to further strengthen your learning. All these assessments are based on the previous concepts and methods you have learned. Several of these assessment tasks will be coding-based, as the main aim is to get you up and proceeding to implementations. By the end of this course, you will be able to easily tackle real-world problems and ensure steady career growth and will be equipped with the knowledge of all the essential concepts you need to excel as a data science professional. Who this book is for This course is designed for people who want to become perfect in their data speak; people who want to learn data science and machine learning with real datasets in data science; people from a non-engineering background who want to enter the data science field; people who want to enter the machine learning field; people who want to learn data science and machine learning along with its implementation in realistic projects. For this course, no prior knowledge is needed. You will start with the basic concepts and gradually build your knowledge of the subject. | ||
| 650 | 0 | |a Machine learning | |
| 650 | 4 | |a Apprentissage automatique | |
| 650 | 4 | |a Machine learning |0 (OCoLC)fst01004795 | |
| 650 | 4 | |a Instructional films |0 (OCoLC)fst01726236 | |
| 650 | 4 | |a Internet videos |0 (OCoLC)fst01750214 | |
| 650 | 4 | |a Nonfiction films |0 (OCoLC)fst01710269 | |
| 650 | 4 | |a Instructional films | |
| 650 | 4 | |a Nonfiction films | |
| 650 | 4 | |a Internet videos | |
| 650 | 4 | |a Films de formation | |
| 650 | 4 | |a Films autres que de fiction | |
| 650 | 4 | |a Vidéos sur Internet | |
| 655 | 2 | |a Webcast | |
| 700 | 1 | |a Murtaza, Kashif |e PräsentatorIn |4 pre | |
| 710 | 2 | |a Packt Publishing, |e Verlag |4 pbl | |
| 856 | 4 | 0 | |l TUM01 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781803230146/?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-07101635X |
|---|---|
| _version_ | 1818767383894949888 |
| adam_text | |
| any_adam_object | |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)07101635X (DE-599)KEP07101635X (ORHE)9781803230146 |
| 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 | [First edition]. |
| format | Electronic Video |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03943cgm a22005172 4500</leader><controlfield tag="001">ZDB-30-ORH-07101635X</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121616.0</controlfield><controlfield tag="006">m o | | </controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">211206s2021 xx ||| |o o ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)07101635X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP07101635X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781803230146</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)07101635X</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">006.3/1</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Data science and machine learning</subfield><subfield code="b">(theory and projects) A to Z</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">Packt Publishing</subfield><subfield code="c">[2021]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (1 video file (93 hr., 31 min.))</subfield><subfield code="b">sound, color.</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">"Updated in November 2021.". - Online resource; title from title details screen (O'Reilly, viewed March 8, 2022)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The complete roadmap for beginners to data science and machine learning. About This Video Advanced and recently discovered models and breakthroughs by the champions in the AI field Key data science and machine learning concepts with examples in Python Detailed explanation and live coding with Python In Detail This course is crafted to teach you the most in-demand skills in the real world. This course aims to help you understand all the data science and machine learning concepts and methodologies with regard to Python. When you take a quick look at the different sections of this course, you may think of these sections as being independent. However, these sections are interlinked and almost sequential. Each section is an independent concept and is like a course on its own. We have deliberately arranged these sections in a sequence as each subsequent section builds upon the sections you have completed. This framework enables you to explore more independent concepts easily. At the end of every subsection, you are assigned homework to further strengthen your learning. All these assessments are based on the previous concepts and methods you have learned. Several of these assessment tasks will be coding-based, as the main aim is to get you up and proceeding to implementations. By the end of this course, you will be able to easily tackle real-world problems and ensure steady career growth and will be equipped with the knowledge of all the essential concepts you need to excel as a data science professional. Who this book is for This course is designed for people who want to become perfect in their data speak; people who want to learn data science and machine learning with real datasets in data science; people from a non-engineering background who want to enter the data science field; people who want to enter the machine learning field; people who want to learn data science and machine learning along with its implementation in realistic projects. For this course, no prior knowledge is needed. You will start with the basic concepts and gradually build your knowledge of the subject.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><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">Machine learning</subfield><subfield code="0">(OCoLC)fst01004795</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Instructional films</subfield><subfield code="0">(OCoLC)fst01726236</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Internet videos</subfield><subfield code="0">(OCoLC)fst01750214</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Nonfiction films</subfield><subfield code="0">(OCoLC)fst01710269</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Instructional films</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Nonfiction films</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Internet videos</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Films de formation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Films autres que de fiction</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vidéos sur Internet</subfield></datafield><datafield tag="655" ind1=" " ind2="2"><subfield code="a">Webcast</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Murtaza, Kashif</subfield><subfield code="e">PräsentatorIn</subfield><subfield code="4">pre</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">Packt Publishing,</subfield><subfield code="e">Verlag</subfield><subfield code="4">pbl</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">TUM01</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781803230146/?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> |
| genre | Webcast |
| genre_facet | Webcast |
| id | ZDB-30-ORH-07101635X |
| illustrated | Not Illustrated |
| indexdate | 2024-12-18T08:49:01Z |
| institution | BVB |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 online resource (1 video file (93 hr., 31 min.)) sound, color. |
| psigel | ZDB-30-ORH |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Packt Publishing |
| record_format | marc |
| spelling | Data science and machine learning (theory and projects) A to Z [First edition]. [Place of publication not identified] Packt Publishing [2021] 1 online resource (1 video file (93 hr., 31 min.)) sound, color. zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier "Updated in November 2021.". - Online resource; title from title details screen (O'Reilly, viewed March 8, 2022) The complete roadmap for beginners to data science and machine learning. About This Video Advanced and recently discovered models and breakthroughs by the champions in the AI field Key data science and machine learning concepts with examples in Python Detailed explanation and live coding with Python In Detail This course is crafted to teach you the most in-demand skills in the real world. This course aims to help you understand all the data science and machine learning concepts and methodologies with regard to Python. When you take a quick look at the different sections of this course, you may think of these sections as being independent. However, these sections are interlinked and almost sequential. Each section is an independent concept and is like a course on its own. We have deliberately arranged these sections in a sequence as each subsequent section builds upon the sections you have completed. This framework enables you to explore more independent concepts easily. At the end of every subsection, you are assigned homework to further strengthen your learning. All these assessments are based on the previous concepts and methods you have learned. Several of these assessment tasks will be coding-based, as the main aim is to get you up and proceeding to implementations. By the end of this course, you will be able to easily tackle real-world problems and ensure steady career growth and will be equipped with the knowledge of all the essential concepts you need to excel as a data science professional. Who this book is for This course is designed for people who want to become perfect in their data speak; people who want to learn data science and machine learning with real datasets in data science; people from a non-engineering background who want to enter the data science field; people who want to enter the machine learning field; people who want to learn data science and machine learning along with its implementation in realistic projects. For this course, no prior knowledge is needed. You will start with the basic concepts and gradually build your knowledge of the subject. Machine learning Apprentissage automatique Machine learning (OCoLC)fst01004795 Instructional films (OCoLC)fst01726236 Internet videos (OCoLC)fst01750214 Nonfiction films (OCoLC)fst01710269 Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet Webcast Murtaza, Kashif PräsentatorIn pre Packt Publishing, Verlag pbl TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781803230146/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Data science and machine learning (theory and projects) A to Z Machine learning Apprentissage automatique Machine learning (OCoLC)fst01004795 Instructional films (OCoLC)fst01726236 Internet videos (OCoLC)fst01750214 Nonfiction films (OCoLC)fst01710269 Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| subject_GND | (OCoLC)fst01004795 (OCoLC)fst01726236 (OCoLC)fst01750214 (OCoLC)fst01710269 |
| title | Data science and machine learning (theory and projects) A to Z |
| title_auth | Data science and machine learning (theory and projects) A to Z |
| title_exact_search | Data science and machine learning (theory and projects) A to Z |
| title_full | Data science and machine learning (theory and projects) A to Z |
| title_fullStr | Data science and machine learning (theory and projects) A to Z |
| title_full_unstemmed | Data science and machine learning (theory and projects) A to Z |
| title_short | Data science and machine learning |
| title_sort | data science and machine learning theory and projects a to z |
| title_sub | (theory and projects) A to Z |
| topic | Machine learning Apprentissage automatique Machine learning (OCoLC)fst01004795 Instructional films (OCoLC)fst01726236 Internet videos (OCoLC)fst01750214 Nonfiction films (OCoLC)fst01710269 Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| topic_facet | Machine learning Apprentissage automatique Instructional films Internet videos Nonfiction films Films de formation Films autres que de fiction Vidéos sur Internet Webcast |
| url | https://learning.oreilly.com/library/view/-/9781803230146/?ar |
| work_keys_str_mv | AT murtazakashif datascienceandmachinelearningtheoryandprojectsatoz AT packtpublishing datascienceandmachinelearningtheoryandprojectsatoz |