chapter 8

ch08/README.md

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+##  Chapter 8: Applying Machine Learning to Sentiment Analysis
+
+### Chapter Outline
+
+- Artificial neurons – a brief glimpse into the early history of machine learning
+  - The formal definition of an artificial neuron
+  - The perceptron learning rule
+
+- Implementing a perceptron learning algorithm in Python 
+  - An object-oriented perceptron API
+  - Training a perceptron model on the Iris dataset
+
+- Adaptive linear neurons and the convergence of learning
+  - Minimizing cost functions with gradient descent
+  - Implementing an Adaptive Linear Neuron in Python
+  - Improving gradient descent through feature scaling
+  - Large scale machine learning and stochastic gradient descent
+
+- Topic modeling with Latent Dirichlet Allocation
+  - Decomposing text documents with LDA
+  - LDA with scikit-learn
+
+- Summary
+
+
+
+**Please refer to the [README.md](../ch01/README.md) file in [`../ch01`](../ch01) for more information about running the code examples.**
+