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Python Artificial Intelligence Projects for Beginners : Get up and Running with Artificial Intelligence Using 8 Smart and Exciting AI Applications.
This book demonstrates AI projects in Python covering modern techniques that make up the world of Artificial Intelligence. You will come across a variety of real-world projects on classifying data, text processing techniques, deep learning and neural networks.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing Ltd,
2018.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Eckroth, Joshua. | |
| 245 | 1 | 0 | |a Python Artificial Intelligence Projects for Beginners : |b Get up and Running with Artificial Intelligence Using 8 Smart and Exciting AI Applications. |
| 260 | |a Birmingham : |b Packt Publishing Ltd, |c 2018. | ||
| 300 | |a 1 online resource (155 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Building Your Own Prediction Models; Classification overview and evaluation techniques; Evaluation; Decision trees; Common APIs for scikit-learn classifiers; Prediction involving decision trees and student performance data; Summary; Chapter 2: Prediction with Random Forests; Random forests; Usage of random forest; Predicting bird species with random forests; Making a confusion matrix for the data; Summary; Chapter 3: Applications for Comment Classification; Text classification. | |
| 505 | 8 | |a Machine learning techniquesBag of words; Detecting YouTube comment spam; Word2Vec models; Doc2Vec; Document vector; Detecting positive or negative sentiments in user reviews; Summary; Chapter 4: Neural Networks; Understanding neural networks; Feed-forward neural networks; Identifying the genre of a song with neural networks; Revising the spam detector to use neural networks; Summary; Chapter 5: Deep Learning; Deep learning methods; Convolutions and pooling; Identifying handwritten mathematical symbols with CNNs; Revisiting the bird species identifier to use images; Summary. | |
| 500 | |a Other Books You May EnjoyIndex. | ||
| 520 | |a This book demonstrates AI projects in Python covering modern techniques that make up the world of Artificial Intelligence. You will come across a variety of real-world projects on classifying data, text processing techniques, deep learning and neural networks. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Python. | |
| 650 | 0 | |a Artificial intelligence |x Data processing. | |
| 650 | 0 | |a Application software |x Development. | |
| 650 | 6 | |a Intelligence artificielle |x Informatique. | |
| 650 | 6 | |a Logiciels d'application |x Développement. | |
| 650 | 7 | |a Mathematical theory of computation. |2 bicssc | |
| 650 | 7 | |a Natural language & machine translation. |2 bicssc | |
| 650 | 7 | |a Machine learning. |2 bicssc | |
| 650 | 7 | |a Artificial intelligence. |2 bicssc | |
| 650 | 7 | |a Computers |x Machine Theory. |2 bisacsh | |
| 650 | 7 | |a Computers |x Natural Language Processing. |2 bisacsh | |
| 650 | 7 | |a Computers |x Intelligence (AI) & Semantics. |2 bisacsh | |
| 650 | 7 | |a Application software |x Development |2 fast | |
| 650 | 7 | |a Artificial intelligence |x Data processing |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Eckroth, Joshua. |t Python Artificial Intelligence Projects for Beginners : Get up and Running with Artificial Intelligence Using 8 Smart and Exciting AI Applications. |d Birmingham : Packt Publishing Ltd, ©2018 |z 9781789539462 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5485038 |z Texto completo |
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