Let's Kickstart

ML

ML

Nishan Pantha / *@nishparadox*

GitHub/*NISH1001*

*nishanpantha.com.np*

GitHub/

What ML hype is about?

Guide for beginners

Methods used

Okay! I want to get involved. But how?

General problems we face while doing it

what is Artificial Intelligence?

Building systems that can do intelligent things

Perpective

Psychological

Ambiguous

- Spam Filter in Email
- Google Search
- Weather Prediction
- Games

one of the mechanisms to AI

Building systems that learn from experience

Different methods used to LEARN

- Train the system

- Student learning from a teacher

- n attributes

- k classes/target

Glucose | BP | BMI | Age | Diabetes(Y/N)? |
---|---|---|---|---|

148 | 72 | 33.6 | 50 | Y |

85 | 66 | 26.6 | 31 | N |

97 | 66 | 23.6 | 22 | N |

...

...

- Let the system figure out the patterns itself

- Students learning on their own

- n attributes

- no target class/label

- Topic modelling

- Unusal activity detection

- Grouping similar texts

- Rewards based learning

*
I don't know how to act in this environment, can you find a good behavior and meanwhile I'll give you feedback.
*

Outputs as class labels

Outputs as continuous values

Find relationship among variables

Y = F(X) ?

Unsupervised

Data Intensive

Linear Algebra

Probability and Statistics

Multivariate Calculus

Programming

Data Structures and Algorithms

- Matrices

- Vectors

- The Basics

- Bayes Theorem?

- Distribution

- Hypothesis Testing

- Machine Learning by Andrew NG
- Linear Algebra By Gilbert Strang
- Neural Networks for Machine Learning By Geoffrey Hinton

Don't Hesitate To Code