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Hands-on unsupervised learning with Python: implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
Unsupervised learning is a key required block in both machine learning and deep learning domains. You will explore how to make your models learn, grow, change, and develop by themselves whenever they are exposed to a new set of data. With this book, you will learn the art of unsupervised learning fo...
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| Lenguaje: | eng |
| Publicado: |
Packt Publishing
2019
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| Acceso en línea: | http://cds.cern.ch/record/2671442 |
| _version_ | 1780962403160162304 |
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| author | Bonaccorso, Giuseppe |
| author_facet | Bonaccorso, Giuseppe |
| author_sort | Bonaccorso, Giuseppe |
| collection | CERN |
| description | Unsupervised learning is a key required block in both machine learning and deep learning domains. You will explore how to make your models learn, grow, change, and develop by themselves whenever they are exposed to a new set of data. With this book, you will learn the art of unsupervised learning for different real-world challenges. |
| id | cern-2671442 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2019 |
| publisher | Packt Publishing |
| record_format | invenio |
| spelling | cern-26714422021-04-21T18:25:36Zhttp://cds.cern.ch/record/2671442engBonaccorso, GiuseppeHands-on unsupervised learning with Python: implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and moreComputing and ComputersUnsupervised learning is a key required block in both machine learning and deep learning domains. You will explore how to make your models learn, grow, change, and develop by themselves whenever they are exposed to a new set of data. With this book, you will learn the art of unsupervised learning for different real-world challenges.Packt Publishingoai:cds.cern.ch:26714422019 |
| spellingShingle | Computing and Computers Bonaccorso, Giuseppe Hands-on unsupervised learning with Python: implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more |
| title | Hands-on unsupervised learning with Python: implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more |
| title_full | Hands-on unsupervised learning with Python: implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more |
| title_fullStr | Hands-on unsupervised learning with Python: implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more |
| title_full_unstemmed | Hands-on unsupervised learning with Python: implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more |
| title_short | Hands-on unsupervised learning with Python: implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more |
| title_sort | hands-on unsupervised learning with python: implement machine learning and deep learning models using scikit-learn, tensorflow, and more |
| topic | Computing and Computers |
| url | http://cds.cern.ch/record/2671442 |
| work_keys_str_mv | AT bonaccorsogiuseppe handsonunsupervisedlearningwithpythonimplementmachinelearninganddeeplearningmodelsusingscikitlearntensorflowandmore |