Recently I was reading an article about a cool project that intends to have a neural network create songs of the late club of the 27 (artists that have tragically died at age 27 or near, and in the height of their respective careers), artists such as Amy Winehouse, Jimmy Hendrix, Curt Cobain and Jim Morrison.

The project was created by Over the Bridge, an organization dedicated to increase awareness on mental health and substance abuse in the music industry, trying to denormalize and remove the glamour around such illnesses within the music community.

They are using Google’s Magenta


The journey as a country product director for a multinational corporation has been fascinating, enriching and filled with learnings. It is the most meaningful of those learnings that pushed me into writing this post to try distilling them and get them out to the world. These main learnings apply to tangible and intangible products (physical products, services or software), and I hope they can be useful for product managers working in startups or in large corporations alike.

image courtesy of: Simon Wheately

Back when I first started, as an eager learner as I am, I dived right into product management literature, books like Marty Cagan’s…


The omnipresence of technology nowadays has made it commonplace to read news about AI, just a quick glance at today’s headlines, and I get:

Topics from business, manufacturing, supply chain, medicine and biotech and even defense are covered in those news headlines, definitively the advancements on the fields…


Photo by STIL on Unsplash

In the midst of a global pandemic caused by the SARS-COV2 coronavirus; I decided to start blogging. I wanted to blog since a long time, I have always enjoyed writing, but many unknowns and having “no time” for it prevented me from taking it up. Things like: “I don’t really know who my target audience is”, “what would my topic or topics be?”, “I don’t think I am a world-class expert in anything”, and many more kept stopping me from setting up my own blog. …


After many years of a corporate career (17) diverging from computer science, I have now decided to learn Machine Learning and in the process return to coding (something I have always loved!).

To fully grasp the essence of ML I decided to start by coding a ML library myself, so I can fully understand the inner workings, linear algebra and calculus involved in Stochastic Gradient Descent. And on top learn Python (I used to code in C++ 20 years ago).

I built a general purpose basic ML library that creates a Neural Network (only DENSE layers), saves and loads the…


Photo by Crissy Jarvis on Unsplash

For the seemingly small project I undertook of creating a machine learning neural network that could learn by itself to play tic-tac-toe, I bumped into the necessity of implementing at least one momentum algorithm for the optimization of the network during back-propagation.

And since my original post for the TicTacToe project is quite large already, I decided to post separately these optimization methods and how did I implement them in my code.

Adam

Adaptive Moment Estimation (Adam) is an optimization method that computes adaptive learning rates for each weight and bias. In addition to storing an exponentially decaying average of past…


view in github

It must sound crazy that in this day and age, when we have such a myriad of amazing machine learning libraries and toolkits all open sourced, all quite well documented and easy to use, I decided to create my own ML library from scratch.

Let me try to explain; I am in the process of immersing myself into the world of Machine Learning, and to do so, I want to deeply understand the basic concepts and its foundations, and I think that there is no better way to do so than by creating myself all the code…


I am lately trying to take on coding again. It had always been a part of my life since my early years when I learned to program a Tandy Color Computer at the age of 8, the good old days.

Tandy Color Computer TRS80 III

Having already programed in Java, C# and of course BASIC, I thought it would be a great idea to learn Python since I have great interest in data science and machine learning, and those two topics seem to have an avid community within Python coders.

For one of my starter quick programming tasks, I decided…


As an entry point to learning python and getting into Machine Learning, I decided to code from scratch the “Hello World!” of the field, a single neuron perceptron.

What is a perceptron?

A perceptron is the basic building block of a neural network, it can be compared to a neuron, And its conception is what detonated the vast field of Artificial Intelligence nowadays.

Back in the late 1950’s, a young Frank Rosenblatt devised a very simple algorithm as a foundation to construct a machine that could learn to perform different tasks.

In its essence, a perceptron is nothing more than a collection of values…

Armando Maynez

Engineer, industry executive, research enthusiast. Avid learner with diverse interests in coding, machine learning, artificial intelligence and learning.

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