Two weeks ago I broke my ankle while running. Anyone who has had a similar injury can understand what I'm talking about: surgery, RICE (rest, ice, compression, elevation), and lots of patience...Even though this is not the way I planned to spend the beginning of the summer, I've decided to make the most of it, … Continue reading Principles by Ray Dalio – Part I
If-, Invictus, Ithaka
I'm on vacation this week and, although it is not possible to travel, I'm happy to have some time to relax, tick books off my bucket list and also reread some old favourites. Yesterday I came across Invictus, a poem I discovered long ago while watching tennis (yes, everything is intertwined) and I thought about … Continue reading If-, Invictus, Ithaka
About Liminal Spaces and Technology
Innovation occurs more frequently on the threshold between disciplines that, theoretically, do not have much in common, like technology and humanities. It is in this doorway, this liminal space, that the best product improvements and groundbreaking concepts are born. One of the most successful and famous examples of a liminal experience is the calligraphy class … Continue reading About Liminal Spaces and Technology
About Semantic Technologies
This post explains some concepts about semantic technologies that I learnt while taking one of the courses offered by the PoolParty Academy. What are Semantic Technologies? W3C defines the semantic web as a group of technologies that enable people to create data stores on the Web, build vocabularies, and write rules for handling data. Linked data … Continue reading About Semantic Technologies
Machine Learning: Supervised Learning Overview
I’ve just completed one more course of Pluralsight's Data Science Foundation learning path: “Play-by-play: Machine Learning Exposed” by James Weaver and Katherine Beaumont. The course consists of three modules: Machine Learning introduction, supervised learning, and reinforcement learning. In this post, I’ll focus on some important concepts and definitions of supervised learning, one of the three … Continue reading Machine Learning: Supervised Learning Overview
Developer Docs: Using Antora to Create a Unified Output with Content from Different Repos
Some weeks ago, I joined an exciting new project at my company, where dozens of development teams and stakeholders collaborate to leverage AIOps, DevOps and ValueOps data to help our customers make better business decisions. In this project, I'm responsible for the end-user documentation and also for designing a content solution to create a single … Continue reading Developer Docs: Using Antora to Create a Unified Output with Content from Different Repos
How to Help Development Teams Write Better Tutorials
One of the ways I support my development teams is by curating the internal documentation they create to on-board new members. Developers don’t always make the best writers (and I say “not always”, because in my career I’ve had the opportunity to work with excellent developers that are also highly skilled in writing and structuring … Continue reading How to Help Development Teams Write Better Tutorials
Project Management for Technical Writing: Structuring the Content and Organizing Tasks Logically
In the third post related to the Udemy Course I'm taking on Project Management for Technical Writers, I'll explain in my own words a strategy introduced in one of the modules, aimed at structuring content and organizing tasks logically using mind-mapping tools. Note: You may want to read previous posts I wrote about this course: … Continue reading Project Management for Technical Writing: Structuring the Content and Organizing Tasks Logically
Data Analytics, IoT, Big Data and ML – an Overview
I've recently started a new course about Data Science on Pluralsight. The course consists of 23 modules which range from basics of data driven business to data science, AI and ML fundamentals, data visualizations, communications, and statistics foundations. Today I've finished one of the modules, created by Matthew Renze and entitled "Data Science: The Big … Continue reading Data Analytics, IoT, Big Data and ML – an Overview
Project Management for Technical Writing – Planning to Manage a Documentation Project
Note: This post summarizes some lessons learned from a course I'm currently taking about managing complex projects for technical documentation. It also includes my personal views and ideas. The Project Management Institute divides the large field of project management into 10 more digestible parts, which are known as the 10 project management knowledge areas: Project integration managementProject scope managementProject time managementProject cost managementProject quality managementProject resource managementProject communications managementProject risk managementProject … Continue reading Project Management for Technical Writing – Planning to Manage a Documentation Project
Marina Hernandez 