Data Science

This was my reaction when I saw machine learning for the first time in my computer science degree. After some years, I also finished a master's degree in deep learning. Until today, I still think it's a crazy and beautiful area. Well “life is not a bed of roses” After…

Use the recently-released Transformers model to generate JSON representations of your document data — Visual document understanding (VDU) is a heavily researched new field in deep learning and data science, particularly because there is a wealth of unstructured data in PDFs or document scans. Recent models, such as LayoutLM, utilize a transformers deep learning model architecture to label words or answer given questions based…

Introduction It is a known fact that Microsoft Excel and PowerBi are great data analysis tools that data analysts work with, it's important to have a wide knowledge of these tools to a level of being able to import data, clean data, carry out data exploration to discover this initial patterns…

This article is the second in a four-part series by YaaS Analytics discussing algorithmic stablecoins, with a focus on the UST crash and the resulting fallout. The series consists of four articles: A Brief History of Algorithmic Stablecoins 2. The Rise of Terra Classic 3. The Collapse of UST 4…

Comparando o ETF BOVA11 com ativos do setor bancário Por que calcular o “risco x retorno” de ativos é uma tarefa importante? O trade-off risco-retorno é um principio fundamental do mercado. Compreender a importância da compensação apropriada entre esses dois pontos, possibilita que o individuo atinja um maior nível de elucidação no momento de compor uma análise para a construção de um portfólio. …

When I started learning Data Analytics, I quickly realized that only watching videos and completing exercises is just one aspect but practicing and mastering the tools and skills is entirely different. I looked for resources on the internet and immediately found Maven’s data playground. …