Key Sequence

Notation

For some feature input matrix, where each row is the data samples, and columns are the input features; we write

\begin{equation} x_{j}^{(i)} \end{equation}

where \(i\) are rows (datapoints), and \(j\) are columns (features)

New Concepts

• Naive Bayes

Important Results / Claims

• Naive Bayes assumption

Questions

Interesting Factoids

Key Sequence

Notation

New Concepts

• machine learning
  • Naive Bayes
• sigmoid
• logistic regression

Important Results / Claims

• logistic regression assumption

Questions

Interesting Factoids

Key Sequence

Notation

New Concepts

• logistic regression
  • deep learning

Important Results / Claims

Questions

Interesting Factoids

Key Sequence

Notation

New Concepts

• probability + Frequentist Definition of Probability
  • sample space
  • event
• equally likely outcomes sample space

Important Results / Claims

• uncertainty and probability
• axiom of probability
• with making elements INDISTINCT during picking your sample space, your sample space may not have equally likely outcomes

Questions

Interesting Factoids

Doing probability

1. consider your cards as being distinct
2. create a generative story

Key Sequence

Notation

New Concepts

• Review: axiom of probability
• conditional probability
• law of total probability
• Bayes Theorem

Important Results / Claims

• Representing Large Computation
• probability chain rule

Questions

Interesting Factoids