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1.5 KiB
Image Gallery
This previous image gallery have been removed to avoid duplication and to keep the file size of this GitHub repository slim, since the high-res version of these images are now embedded in the Jupyter notebooks themselves in the code directory.
Below are the links to the respective images by chapter:
- ch01 - Machine Learning - Giving Computers the Ability to Learn from Data
- ch02 - Training Machine Learning Algorithms for Classification
- ch03 - A Tour of Machine Learning Classifiers Using Scikit-Learn
- ch04 - Building Good Training Sets - Data Pre-Processing
- ch05 - Compressing Data via Dimensionality Reduction
- ch06 - Learning Best Practices for Model Evaluation and Hyperparameter Optimization
- ch07 - Combining Different Models for Ensemble Learning
- ch08 - Applying Machine Learning to Sentiment Analysis
- ch09 - Embedding a Machine Learning Model into a Web Application
- ch10 - Predicting Continuous Target Variables with Regression Analysis
- ch11 - Working with Unlabeled Data – Clustering Analysis
- ch12 - Training Artificial Neural Networks for Image Recognition
- ch13 - Parallelizing Neural Network Training via Theano