| Titre : |
Artificial intelligence with Python : your complete guide to building intelligent apps using Python 3.x |
| Type de document : |
texte imprimé |
| Auteurs : |
Alberto Artasanchez, Auteur ; Prateek Joshi, Auteur |
| Mention d'édition : |
2nd ed |
| Editeur : |
Birmingham : Packt Publishing |
| Année de publication : |
2020 |
| Importance : |
XVIII, 592 p. |
| Présentation : |
ill. |
| Format : |
24 cm |
| ISBN/ISSN/EAN : |
978-1-83921-953-5 |
| Note générale : |
Index |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Python (Computer program language)
Artificial intelligence -- Data processing
Application software -- Development
Python (langage de programmation)
Intelligence artificielle |
| Index. décimale : |
004.43 Langage de programmation |
| Résumé : |
Completely updated and revised edition of the bestselling guide to artificial intelligence, updated to Python 3.8 and TensorFlow 2, with seven new chapters that cover RNNs, AI & Big Data, fundamental use cases, machine learning data pipelines, chatbots, Big Data, and more |
| Note de contenu : |
Summary :
1. Introduction to artificial intelligence.
2. Fundamental use cases for artificial intelligence.
3. Machine learning pipelines.
4. Feature selection and feature engineering.
5. Classification and regression using supervised learning.
6. Predictive analytics with ensemble learning.
7. Detecting patterns with unsupervised learning.
8. Building recommender systems.
9. Logic programming.
10. Heuristic search techniques.
11. Genetic algorithms and genetic programming.
12. Artificial intelligence on the cloud.
13. Building games with artificial intelligence.
14. Building a speech recognizer.
15. Natural language processing.
16. Chatbots.
17. Sequential data and time series analysis.
18. Image recognition.
19. Neural networks.
20. Deep learning with convolutional neural networks.
21. Recurrent neural networks and other deep learning models.
22. Creating intelligent agents with reinforcement learning.
23. Artificial intelligence and big data.
|
Artificial intelligence with Python : your complete guide to building intelligent apps using Python 3.x [texte imprimé] / Alberto Artasanchez, Auteur ; Prateek Joshi, Auteur . - 2nd ed . - Birmingham : Packt Publishing, 2020 . - XVIII, 592 p. : ill. ; 24 cm. ISBN : 978-1-83921-953-5 Index Langues : Anglais ( eng)
| Mots-clés : |
Python (Computer program language)
Artificial intelligence -- Data processing
Application software -- Development
Python (langage de programmation)
Intelligence artificielle |
| Index. décimale : |
004.43 Langage de programmation |
| Résumé : |
Completely updated and revised edition of the bestselling guide to artificial intelligence, updated to Python 3.8 and TensorFlow 2, with seven new chapters that cover RNNs, AI & Big Data, fundamental use cases, machine learning data pipelines, chatbots, Big Data, and more |
| Note de contenu : |
Summary :
1. Introduction to artificial intelligence.
2. Fundamental use cases for artificial intelligence.
3. Machine learning pipelines.
4. Feature selection and feature engineering.
5. Classification and regression using supervised learning.
6. Predictive analytics with ensemble learning.
7. Detecting patterns with unsupervised learning.
8. Building recommender systems.
9. Logic programming.
10. Heuristic search techniques.
11. Genetic algorithms and genetic programming.
12. Artificial intelligence on the cloud.
13. Building games with artificial intelligence.
14. Building a speech recognizer.
15. Natural language processing.
16. Chatbots.
17. Sequential data and time series analysis.
18. Image recognition.
19. Neural networks.
20. Deep learning with convolutional neural networks.
21. Recurrent neural networks and other deep learning models.
22. Creating intelligent agents with reinforcement learning.
23. Artificial intelligence and big data.
|
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Artificial intelligence with Python (2020)
