Chapter 1 – An Initial Model Introduction The quest to replicate, and even surpass, human capabilities through technology has been a constant effort throughout human history. From the manipulation of fire, agricultural techniques and the use of horses to transport us; to modern telecommunications, computing and contemporary means of transportation; human beings have always looked for ways... » read more
Just a collection of tools for the different phases of ML/AI Lifecycle. Data Collection and Preprocessing Pandas: Data manipulation and analysis. NumPy: Numerical computing. Beautiful Soup: Web scraping. Scrapy: Advanced web scraping. OpenRefine: Data cleaning. AWS Glue: Data extraction, transformation, and loading (ETL). AWS Data Pipeline: Data orchestration. AWS Kinesis: Real-time data streaming. AWS Athena:... » read more
Machine Learning can be thought of as the mechanics of intelligence that we have been able to systematize.
A couple of years ago I was having this conversation with my new co-workers – all software engineers – about the cost of a college carreer in the US and also, not as dramatic amounts but certainly expensive anyways in CR. On top of that we need to add update courseware, specific certifications and things... » read more
In this post I discuss some elements to define better, stronger and SMART-er goals for yourself or your teams!
You know how it goes, we leaders are in a continuous search of ways to better communicate, take ideas across audiences and actually produce transformations on how people think and behave. In that constant quest, I recently came across this article and podcast from Social Media Examiner where guest Pat Quinn talks about a 4... » read more
This article describes some key learnings I got by reflecting on how our ETL imports can be transformed into a robust process that anticipates and prevents data integrity issues when taking massive pieces of data into systems.
Work dignifies people and it is a fundamenal part of personal accomplishment of every individual. Being jobless is one of the biggest difficulties a person may face in life. In this article we discuss some important aspects to be considered, not only to find a job, but also to keep an strong employability over time.
I recently came across this TedX video from coach Alvaro Gonzalez Alorda founder of Emergap (in Spanish) about leadership and transformation; about how leaders make their people grow. It really impressed me so I've decided to publish my takeaway notes out of it.
Enterprise and Solutions Architecture is one of those core fields in technology that are still fuzzy enough for everyone. In this post, I am sharing some of the knowledge I have acquired in the past 20+ years about it; landed in an adapted simplified framework: The B.D.A.T. (Business, Data, Application/Technology)