Machine Learning
Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. (source:Wiki)
Python
Python Created by Guido van Rossum and first released in 1991, has a design philosophy that emphasizes code readability, notably using significant whitespace. Python is dynamically typed and garbage-collected,It also features a comprehensive standard library, and is referred to as "batteries included".
Machine Learning with Python
Deep learning is a subset of machine learning, and machine learning is a subset of AI, which is an umbrella term for any computer program that does something smart. In other words, all machine learning is AI, but not all AI is machine learning, and so forth.
There are four types of machine learning algorithms: supervised, semi-supervised, unsupervised and reinforcement
Python
Types of numbers
Python has various "types" of numbers (numeric literals). Important one's are Integer and floating type.
| Examples | Number "Type" |
|---|---|
| 1,2,-5,1000 | Integers |
| 1.2,-0.5,2e2,3E2 | Floating-point numbers |
Basic Arithmetic
# Addition
# Subtraction
# Multiplication
# Division
# Floor Division
# Powers
Order of Operations
DMAS
Variable Assignments
Use a single equals sign to assign labels to variables
The variable names you use when creating these labels need to follow a few rules:
1. Names can not start with a number.
2. There can be no spaces in the name, use _ instead.
3. Can't use any of these symbols :'",<>/?|\()!@#$%^&*~-+
4. It's considered best practice (PEP8) that names are lowercase.
5. Avoid using the characters 'l' (lowercase letter el), 'O' (uppercase letter oh), or 'I' (uppercase letter eye) as single character variable names.
6. Avoid using words that have special meaning in Python like "list" and "str"
