Machine Learning and Deep Learning are subset of Artificial Intelligence.

Deep Learning :

Extract patterns from data using neural networks.

Aim of Deep Learning:

To build neural networks that automatically discover patterns for feature detection.

Machine Learning Another Definition:

It is a way to convert things(data) into numbers and find patterns in those number.

Aim of Machine Learning:

To make machine learn through data so that they can solve problems.

Artificial Intelligence:

Any technique that enables computer to mimic human behavior.

Aim of Artificial Intelligence:

To build machines which are capable of thinking like human or doing human tasks.

Structure of AI

Structure of AI

Source : The Taxonomy of Artificial Intelligence and Data Science

Data -> Machine learning alogrithm(model) -> Patterns

Narrow AI : The machine AI which is good at specific task only one thing.

General AI : The AI machine which good at many task.

How did we get Here?

  • In early stage to collect data we used Spreadsheets.
    • CSV
    • Excel

As the data grow the new technologies appeard

  • Relational DataBase(DB)
    • MySQL (Query language to to CRUD operation)
    • CRUD : Create Read Update Delete.

And as the data grow more and more. In 2000 we got the fancy term called Big data

  • Big data
    • MongoDB (NoSQL)

Now we have collect alot of data and to utilize that in Machine learning as data source.

Steps in a full Machine learning project

Data Science : To utilize the huge data.

Types of Machine Learning :

  • Supervised Learning :

    • Classification. Classifying is this(relative) a apple or mango.
    • Regression. like predicting stock prices.

  • Semi-Supervised Learning :

    • This include the character of both supervised and unsupervised learning.

  • Unsupervised Learning :

    • Clustering. Making group of the similar data and then predict.
    • Association Rule Learning.

  • Reinforcement Learning

    • Skill acquisition.
    • Real time learning.

Exercise Machine Learning Playground

Teachable Machine

Quotes