INSIDE ALGORITHMS

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Confusion matrix

What is a confusion matrix?

Types of classification outputs Positive and negative outputs In a classification problem, there are 2 types of labels, positive and negative. Positive outputs are labels with a particular characteristic that…

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WHAT IS MACHINE LEARNING ?

Machine learning (ML) is a subfield of artificial intelligence that studies the development of algorithms that can learn patterns from data and make predictions based on them. These "human-like intelligent" systems are called models.

Machine learning it's a broad field that also includes processing input data, evaluating model accuracy and managing AI influence on society, ensuring these products aren't affected by gender, ethnic, and cultural biases.

In today's world, machine learning solutions are becoming increasingly important. They are applied in various sectors like natural language processing, computer vision, speech recognition, email filtering, agriculture, and medicine.

ABOUT THIS BLOG

Inside Algorithms is a constantly updated blog with articles regarding machine learning, which studies the development of artificial intelligence algorithms.

Thanks to Inside Algorithms you will learn how artificial intelligence like ChatGPT works in the core and how to apply your knowledge to real-world scenarios. Cool isn’t it?

ABOUT THIS BLOG

Inside Algorithms is a constantly updated blog with articles regarding machine learning, which studies the development of artificial intelligence algorithms.

Thanks to Inside Algorithms you will learn how artificial intelligence like ChatGPT works in the core and how to apply your knowledge to real-world scenarios. Cool isn’t it?

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WHY FOLLOW THIS BLOG

1

Clear and deep explanations

Making machine learning simple and interesting is my mission. I use pictures and videos to facilitate learning, and I also include logical reasoning behind complex mathematical formulas in my explanations.

2

Real-life projects and examples

Through examples and projects taken from real situations, with real datasets and true queries, you will be able to better learn this discipline and develop a practical view of theoretical concepts

3

Create your own artificial intelligence

With step-by-step tutorials you will be able to program your artificial intelligence, choosing input data of topics you are interested in and algorithms you think are most efficient

Machine intelligence is the last invention that humanity will ever need to make.

– Nick Bostrom, philosofer and AI expert