Chew Go Machine Learning Projects

Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go
1. Auflage 2018
ISBN: 978-1-78899-519-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 348 Seiten

No detailed description available for "Go Machine Learning Projects".

Autoren/Hrsg.

Chew, Xuanyi

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik

Inhaltsverzeichnis

Table of Contents - How to Solve All Machine Learning Problems
- Linear Regression - House Price Prediction
- Classification - Spam Email Detection
- Decomposing CO2 Trends Using Time Series Analysis
- Clean Up Your Personal Twitter Timeline by Clustering Tweets
- Neural Networks - MNIST Handwriting Recognition
- Convolutional Neural Networks - MNIST Handwriting Recognition
- Basic Facial Detection
- Hot Dog or Not Hot Dog - Using External Services
- What's Next?

Über Autor(innen)

Chew Xuanyi:

Xuanyi Chew is the Chief Data Scientist of a Sydney-based logistics startup. He is the primary author of Gorgonia, an open source deep learning package for Go. He's been practicing machine learning for the past 12 years, applying them typically to help startups. His goal in life is to make an artificial general intelligence a reality. He enjoys learning new things.