Me topé de casualidad con un interesante artículo sobre creatividad, en una de esas exploraciones divergentes que promueve Internet me llevó a un paper publicado en PLOS (editorial de acceso abierto sin fines de lucro que permite a los investigadores acelerar el progreso en la ciencia).Imagen compuesta en base a: Fig 8. The ontology of creativity generated from this work’s … [Read more...] about 14 Componentes claves de la creatividad
Artificial Intelligence
A Straightforward Guide to Cleaning and Preparing Data in Python
How to Identify and deal with dirty data.Photo by jesse orrico on UnsplashReal-world data is dirty. In fact, around 80% of a data scientist's time is spent collecting, cleaning and preparing data. These tedious (but necessary) steps make the data suitable for any model we want to build and ensure the high quality of data.The cleaning and preparation of data might be tricky … [Read more...] about A Straightforward Guide to Cleaning and Preparing Data in Python
A Review of Artificial Intelligence Applications in Cardiac CT
Artificial intelligence (AI) applications in cardiology have the potential to be groundbreaking, but which applications will actually help save lives and help people live longer? One major area that is being transformed is cardiac computed tomography (CT). Specifically, the use of AI to analyze coronary artery disease (CAD) and markers of CAD found on cardiac CT.So far studies … [Read more...] about A Review of Artificial Intelligence Applications in Cardiac CT
Why Python Is The Perfect Language For A Machine Learning Project
And here are a set of reasons why I love itPhoto by Hitesh Choudhary on UnsplashPython was always doing well because of its stable and easily maintainable nature, like a popular teen going through the high school corridors, python has been catching a lot of eyeballs in recent years. TIOBE Index named it the language of the year, four times so far since its inception.No surprise … [Read more...] about Why Python Is The Perfect Language For A Machine Learning Project
Process Optimisation Management: Part 4.1 — Analyse Phase
This picture is from Free-Photos on PixabayPrevious articlesProcess Optimization OverviewDefine Phase 2.1Define Phase 2.2Measure Phase 3.1Measure Phase 3.2Last week we reduced the potential causes for your problem in the measure phase. Until now, your main tool of problem solving was the brainpower of your team. Many people oversee the risk that until now there is no real … [Read more...] about Process Optimisation Management: Part 4.1 — Analyse Phase
Are your Regex Operations Taking Time, How to make it Faster?
FlashText — A better alternative of Regex for NLP tasksImage by Michal Jarmoluk from PixabayNatural Language Processing (NLP) is a subfield of artificial intelligence concerned with interactions between computer and natural human languages. NLP involves text processing, text analysis, apply machine learning algorithms to text and speech, and many more.Text processing is a key … [Read more...] about Are your Regex Operations Taking Time, How to make it Faster?
Generative Adversarial Transformers: GANsformers Explained
They basically leverage transformers’ attention mechanism in the powerful StyleGAN2 architecture to make it even more powerful!Watch the video:Results examples on generating bedroom scenes with its attention maps. Image from: Drew A. Hudson and C. Lawrence Zitnick, Generative Adversarial Transformers, (2021).Last week we looked at DALL-E, OpenAI’s most recent paper.It uses a … [Read more...] about Generative Adversarial Transformers: GANsformers Explained
Adaline neural networks: the origin of gradient descent
Training an adaline networkThe reasoning behind the training process is still the same as the perceptron: each weight w(i,j) needs to be updated in such a way that it will increase the amount of correctly predicted outputs on the next iteration — we call this update value Δ(i,j). However, this update variable is calculated in a different way, using an algorithm known as the … [Read more...] about Adaline neural networks: the origin of gradient descent
Классы данных в Python и их ключевые особенности
Значимым компонентом любого проекта в программировании являются данные, с которыми неизбежно взаимодействуют все программы. Например, при разработке веб-сайта вы должны представить тексты и изображения в удобном для пользователя виде. Если же в вашем проекте для прогноза тенденций в области финансов используется МО, то не обойтись без подготовки данных для обучения ваших … [Read more...] about Классы данных в Python и их ключевые особенности
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