Tuning a Machine Learning Model

I continue taking some basic notes of the book “Enterprise Artificial Intelligence and Machine Learning for Managers“. Tuning a machine learning model is an iterative process. Data scientists typically run numerous experiments to train and evaluate models, trying out different features, different loss functions, different AI/ML models, and adjusting model parameters and hyper-parameters. Feature engineering … Read more

Maps and civilization

I have picked this book to learn about maps and improve my knowledge on cartography, and see if it helps on the deeper understanding of Wardley Maps. The amount and quality of data on the book is great and the author is so concise and direct, so you do not lose time reading extra pages that … Read more

Trading learning year 3

After a good 2019 learning about how to trade, this 2020 was fine in so many ways, that I would like to review. The math result? I did a 36%, 2020 started with $1.420,94 and ended with   $1.934,41 so the P&L was $513,47   or a 36,1% Total moves 188 wins 157     84% loses   31  … Read more

New era of discovery: data around our behavior

By the end of the 15th century, America had been discovered by Europeans and a sea route to India had been found. For the next three hundred years, most of the world’s coasts were visited and mapped, if only roughly, by explorers from Portugal, Spain, Italy, Holland, France, and England. Through the exploitation of overseas … Read more

AWS Well-Architected

One of the sections of “Reaching Cloud Velocity” book is the well architected framework, where so many best practices are explained on the context of the use of AWS. I found this table on this post that summarizes the principles and the current services that are key for each one of the pillars: Update April/2022 … Read more