Machine Learning part 1: introduction

Machine Learning part 1: introduction

what is it?

wikipaedia defines machine learning as:

_the scientific study of algorithms and statistical models that computer systems use to progressively improve their performance 📈 on a specific task. Machine learning algorithms build a mathematical model of sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to perform the task_

data -> train -> do tasks

relationship with data science

since data is used, it should be cleaned etc. knowing what data to collect, how etc, also about formulas needed, is part of data science

relationship with statistics

machine learning is 100% applied maths, more specifically, statistics :bar_chart: plays a very important part. a computer is there to calculate and repeat faster

use of machine learning

image recognition like recognising digits and letters from pictures, books recommendations on some sites, criminal identification on anonymous networks, speech recognition etc.

types of machine learning

♡ supervised learning
♡ unsupervised learning
♡ reinforcement learning

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Lives in Mauritius, cruising python waters for now.