### What is Deep Learning?

Deep learning is a subtopic within machine learning that seeks to automate the feature selection process in addition to the learning

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Deep learning is a subtopic within machine learning that seeks to automate the feature selection process in addition to the learning

Advantages: Often unbeatable in terms of accuracy

Deep Learning is a subset of Machine Learning

A ‘Perceptron’ is the building block of a Neural Network inspired from the neurons that are found in the brain.

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

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

A Deep Neural Network consists of two or more hidden layers.

Activation functions transform a linear combination of weights and biases into an output

Sigmoid (Logistic) is one such non-linear activation function.

TanH is one such non-linear activation function.

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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)