publication

Machine Learning: The Basics

Miquel Canal

Wednesday 2, September 2020
  • Machine Learning

What is machine learning?

Two definitions of Machine Learning to understand the concept.
"the field of study that gives computers the ability to learn without being explicitly programmed." By Arthur Samuel.

"A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E." by Tom Mitchell.

Supervised learning

The term Supervised Learning refers to the process of giving data sets and the expected "right answer" to an algorithm. The task for the algorithm is then to produce a model that matches the right outputs for each data set.

In this process the algorithm learns to shape a model by comparing its outputs to the one given by a human. It is called supervised learning because the process of an algorithm learning from the training dataset can be thought of as a teacher supervising the learning process.

Supervised learning algorithms problems can be grouped into two main categories:

Unsupervised learning

Unsupervised learning allows to approach problems without knowing the expected output. Algorithms derivate structure from a given data set without humans knowing how results will be. They are called unsupervised learning because there is no feedback based on the prediction results nor correct answers.

Unsupervised learning algorithms problems can be grouped into two main categories:

References

Introduction

Introduction

This is the first entry on the website. An starting point to understand the beginning of the projecct.

How to change the author of a commit

How to change the author of a commit

4 easy steps to change author name of a commit after push. Learn to use the rebase command and differences between git rebase and git merge.

What Is Data Modeling

What Is Data Modeling

Data modeling is the practice of translating an information system into models in order to represent its internal structure. It often involves the use of diagrams and schemas to represent data flow across a software application.

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