Applied deep learning with Python :: use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions /
Getting started with data science can be overwhelming, even for experienced developers. In this two-part, hands-on book we'll show you how to apply your existing understanding of the Python language to this new and exciting field that's full of new opportunities (and high expectations)!
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt,
2018.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Getting started with data science can be overwhelming, even for experienced developers. In this two-part, hands-on book we'll show you how to apply your existing understanding of the Python language to this new and exciting field that's full of new opportunities (and high expectations)! |
| Beschreibung: | Activity:Verifying Software Components |
| Beschreibung: | 1 online resource (329 pages) |
| ISBN: | 9781789806991 1789806992 |
Internformat
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| spelling | Galea, Alex., author. Applied deep learning with Python : use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions / Alex Galea, Luis Capelo. Birmingham, UK : Packt, 2018. ©2018 1 online resource (329 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Print version record. Jupyter Fundamentals -- Data Cleaning and Advanced Machine Learning -- Web Scraping and Interactive Visualizations -- Introduction to Neural Networks and Deep Learning -- Model Architecture -- Model Evaluation and Optimization -- Productization. Activity:Verifying Software Components Getting started with data science can be overwhelming, even for experienced developers. In this two-part, hands-on book we'll show you how to apply your existing understanding of the Python language to this new and exciting field that's full of new opportunities (and high expectations)! Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Python (Langage de programmation) Apprentissage automatique. COMPUTERS Programming Languages Python. bisacsh Machine learning fast Python (Computer program language) fast Capelo, Luis, author. Print version: Galea, Alex. Applied Deep Learning with Python : Use Scikit-Learn, TensorFlow, and Keras to Create Intelligent Systems and Machine Learning Solutions. Birmingham : Packt Publishing Ltd, ©2018 9781789804744 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1883889 Volltext |
| spellingShingle | Galea, Alex Capelo, Luis Applied deep learning with Python : use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions / Jupyter Fundamentals -- Data Cleaning and Advanced Machine Learning -- Web Scraping and Interactive Visualizations -- Introduction to Neural Networks and Deep Learning -- Model Architecture -- Model Evaluation and Optimization -- Productization. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Python (Langage de programmation) Apprentissage automatique. COMPUTERS Programming Languages Python. bisacsh Machine learning fast Python (Computer program language) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh96008834 http://id.loc.gov/authorities/subjects/sh85079324 |
| title | Applied deep learning with Python : use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions / |
| title_auth | Applied deep learning with Python : use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions / |
| title_exact_search | Applied deep learning with Python : use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions / |
| title_full | Applied deep learning with Python : use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions / Alex Galea, Luis Capelo. |
| title_fullStr | Applied deep learning with Python : use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions / Alex Galea, Luis Capelo. |
| title_full_unstemmed | Applied deep learning with Python : use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions / Alex Galea, Luis Capelo. |
| title_short | Applied deep learning with Python : |
| title_sort | applied deep learning with python use scikit learn tensorflow and keras to create intelligent systems and machine learning solutions |
| title_sub | use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions / |
| topic | Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Python (Langage de programmation) Apprentissage automatique. COMPUTERS Programming Languages Python. bisacsh Machine learning fast Python (Computer program language) fast |
| topic_facet | Python (Computer program language) Machine learning. Python (Langage de programmation) Apprentissage automatique. COMPUTERS Programming Languages Python. Machine learning |
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