### Briefly describe the architecture of a Recurrent Neural Network (RNN) and how it addresses the shortcomings of traditional Neural Networks.

The Recurrent Neural Network (RNN) is designed to work with data that naturally exists as part of a sequence

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A standard ANN model consists of an input layer, an output layer, and hidden layers

The Multi-Layer Perceptron (MLP) is an ‘Artificial Neural Network’ (ANN) having one or more hidden layers

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- Machine Learning 101 (30)
- Statistics 101 (38)
- Supervised Learning (114)
- Regression (42)
- Classification (46)
- Logistic Regression (10)
- Support Vector Machine (10)
- Naive Bayes (4)
- Discriminant Analysis (5)
- Classification Evaluations (9)

- Classification & Regression Trees (CART) (23)

- Unsupervised Learning (55)
- Clustering (28)
- Distance Measures (9)
- Dimensionality Reduction (9)

- Deep Learning (23)
- Data Preparation (34)
- General (5)
- Standardization (6)
- Missing data (7)
- Textual Data (16)