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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 |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing Ltd,
2018.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.
- 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.