Cross validation
O cross-validation não é uma receita única, mas sim um conjunto de estratégias que a gente adapta conforme o objetivo: avaliar performance, escolher hiperparâmetros ou treinar o modelo final.
O cross-validation não é uma receita única, mas sim um conjunto de estratégias que a gente adapta conforme o objetivo: avaliar performance, escolher hiperparâmetros ou treinar o modelo final.
Have you ever felt lost in your machine learning projects, not knowing what code you used, what datasets were involved, or how the models performed? If so, I have a recommendation that could be a game changer for you: MLFlow.
Finding journals that offer the possibility to publish research for free can be challenging but rewarding, especially for early-career researchers and institutions with limited funding. Below I listed some journals that accept free publication based on the research topics that I use to publish, across various fields such as medical, biological, and computational sciences, along with their impact factors (IF) 2024.
Hey there! Today, I want to talk about something that affects millions of people around the globe: cardiovascular diseases (CVDs). Did you know that CVDs are the leading cause of death worldwide? It's a staggering fact, especially in low- and middle-income countries, where they account for about 80% of these deaths. That's not just a number; it's a wake-up call for all of us!
In the early days of artificial intelligence, machine learning models were pretty straightforward. We could look at them and understand how they worked. But things have changed. Today, the most powerful AI systems, especially those using deep learning, are almost impossible for us to “see inside.” This has made them incredibly useful for tasks like analyzing medical data, including diagnosing heart conditions through ECG signals. These deep neural networks (DNNs) are impressively accurate but bring a significant challenge: they operate as “black boxes”—producing results without showing us how they got there.
Let’s dig a little deeper into why this is such a big deal, especially in the field of medicine.
One of the fascinating things about music is how it pulls our whole brain into action. Think about it: when we play an instrument, it’s not just our ears at work. Our motor skills, vision, and memory all get a workout too. That’s why, over the years, researchers have come to see music as a unique way to study how our brains adapt and change—what we call "neuroplasticity."
So, it’s natural to wonder: if playing music can help our brains grow stronger, could it also help slow down the cognitive decline that often comes with aging?
Hi, everyone! Today, I want to dive into something that fascinates me: how music has the power to transform our brains. Over the last few decades, science has made incredible strides in this area, especially with the help of neuroimaging – those techniques that let us see what’s happening in our minds in amazing detail.