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210123 ||| eng |
| 050 |
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4 |
|a QA76.73.P98
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| 100 |
1 |
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|a Deitel, Paul J.
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| 245 |
0 |
0 |
|a Python fundamentals
|c Paul J. Deitel
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| 260 |
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|a [Place of publication not identified]
|b Prentice Hall
|c 2019
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| 300 |
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|a 1 streaming video file (44 hr., 42 min., 27 sec.)
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| 653 |
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|a Réseaux neuronaux (Informatique)
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| 653 |
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|a Machine learning / http://id.loc.gov/authorities/subjects/sh85079324
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| 653 |
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|a Python (Computer program language) / http://id.loc.gov/authorities/subjects/sh96008834
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| 653 |
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|a Artificial intelligence / http://id.loc.gov/authorities/subjects/sh85008180
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Neural Networks, Computer
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| 653 |
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|a Intelligence artificielle
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| 653 |
|
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|a Neural networks (Computer science) / http://id.loc.gov/authorities/subjects/sh90001937
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| 653 |
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|a Apprentissage automatique
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| 653 |
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|a Artificial intelligence / fast / (OCoLC)fst00817247
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| 653 |
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|a artificial intelligence / aat
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| 653 |
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|a Neural networks (Computer science) / fast / (OCoLC)fst01036260
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| 653 |
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|a Python (Langage de programmation)
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| 653 |
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|a Python (Computer program language) / fast / (OCoLC)fst01084736
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| 653 |
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|a Machine learning / fast / (OCoLC)fst01004795
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 490 |
0 |
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|a LiveLessons
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| 500 |
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|a Title from resource description page (Safari, viewed January 29, 2020)
|
| 856 |
4 |
0 |
|u https://learning.oreilly.com/videos/~/9780135917411/?ar
|x Verlag
|3 Volltext
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| 082 |
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|a 331
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|a 500
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|a 000
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|a "Python Fundamentals LiveLessons with Paul Deitel is a code-oriented presentation of Python, one of the world's most popular and fastest growing languages. In the context of scores of real-world code examples ranging from individual snippets to complete scripts, Paul will demonstrate coding with the interactive IPython interpreter and Jupyter Notebooks. You'll quickly become familiar with the Python language, its popular programming idioms, key Python Standard Library modules and several popular open-source libraries. In the Intro to Data Science videos, Paul lays the groundwork for later lessons in which he'll introduce some of today's most compelling, leading-edge computing technologies, including natural language processing, data mining Twitter for sentiment analysis, cognitive computing with IBM Watson, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, sentiment analysis through deep learning with recurrent neural networks, big data with Hadoop, Spark streaming, NoSQL databases and the Internet of Things."--Resource description page
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