Paramètres
- 601pages
- 22 heures de lecture
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Designed for programmers transitioning from another high-level language, this resource employs hands-on instruction to teach Python, one of the fastest-growing programming languages. It features over 500 real-world examples, including snippets and extensive scripts, utilizing the interactive IPython interpreter and Jupyter Notebooks to help you quickly grasp modern Python coding practices. After exploring the initial chapters, you'll be equipped to tackle significant portions of hands-on AI case studies filled with contemporary examples. These cover a range of topics such as natural language processing, sentiment analysis through Twitter data, cognitive computing with IBM Watson, supervised and unsupervised machine learning, computer vision via deep learning, and big data technologies like Hadoop and Spark. The book also includes cloud-based services interactions with platforms like Google Translate and Microsoft Azure. Key features include a focus on the Python Standard Library and data science libraries, rich coverage of control statements, functions, and collections, as well as static and dynamic visualizations. It also introduces data science concepts, including AI, statistics, and data wrangling, alongside practical case studies in AI, big data, and cloud data science. Open-source libraries like NumPy, pandas, and scikit-learn are extensively utilized throughout.
Achat du livre
Deitel Developer Series: Python for Programmers With Introductory AI Case Studies, Paul J. Deitel, Harvey M. Deitel
- Langue
- Année de publication
- 2019
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- (souple)
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- Titre
- Deitel Developer Series: Python for Programmers With Introductory AI Case Studies
- Langue
- Anglais
- Auteurs
- Paul J. Deitel, Harvey M. Deitel
- Éditeur
- Pearson Educations
- Publié
- 2019
- Format
- souple
- Pages
- 601
- ISBN10
- 0135224330
- ISBN13
- 9780135224335
- Séries
- Mots clés
- Nonfiction, Sciences sociales, Technologie & Ingénierie, Informatique & Internet, Langues, Internet, Intelligence Artificielle, Base de données, Python (langage de programmation)
- Description
- Designed for programmers transitioning from another high-level language, this resource employs hands-on instruction to teach Python, one of the fastest-growing programming languages. It features over 500 real-world examples, including snippets and extensive scripts, utilizing the interactive IPython interpreter and Jupyter Notebooks to help you quickly grasp modern Python coding practices. After exploring the initial chapters, you'll be equipped to tackle significant portions of hands-on AI case studies filled with contemporary examples. These cover a range of topics such as natural language processing, sentiment analysis through Twitter data, cognitive computing with IBM Watson, supervised and unsupervised machine learning, computer vision via deep learning, and big data technologies like Hadoop and Spark. The book also includes cloud-based services interactions with platforms like Google Translate and Microsoft Azure. Key features include a focus on the Python Standard Library and data science libraries, rich coverage of control statements, functions, and collections, as well as static and dynamic visualizations. It also introduces data science concepts, including AI, statistics, and data wrangling, alongside practical case studies in AI, big data, and cloud data science. Open-source libraries like NumPy, pandas, and scikit-learn are extensively utilized throughout.