As a MLOps Engineer I am concerned with deploying models and applications, many of which are written in python. Since data scientists are not software engineers, my assistance is required to make code production ready. To do so, the adoption of a CI/CD pipeline is very useful as it ensures…

How crypto does and does not meet the definition — Currency is something that fulfills the following four functions, a unit of account, a store of value, a medium of exchange, and a standard of deferred payment. A unit of account Being a unit of account means being able to measure the amount of something and divide it into smaller portions as necessary. As…

Beginning my journey as an MLOps Engineer — One of the hardest things about being a data scientist is that they expect you to also be a Software Engineer, a DevOps Engineer, a Data Engineer, and a Subject Matter Expert (if not more roles). I honestly enjoy doing all those things, when you have these expectations on you…

Calculating goals from rewards — Rewards and Goals In supervised machine learning your algorithm will receive instructive feedback. This means that you tell your model the best answer, and it updates itself to make more accurate predictions. Evaluative feedback powers reinforcement learning, this is just telling a model how well it did, but not what the perfect decisions…

I suspect for anyone reading this article, it is frustrating to hear about the shortage of data scientists and still be denied interviews and job offers. From anecdotes I have heard and experienced myself, if you already have work experience as a data scientist, recruiters will reach out to you…

And a few pointers on how to resolve them — I’m not going to preach the benefits of Agile; I’ll just say it’s good and you should practice it. But if you’re trying to get Agile rolling in your organization and can’t get it to, the blockers are likely technical challenges. Sometimes management only talks about what the cultural changes…

How to practice Agile in a waterfall-oriented field — The Waterfall method for developing software is one that follows a linear path where each step is finished before the next one, as shown below. Agile, meanwhile, is a process where software is developed in iterations where the requirements, design, and implementation may change on a constant basis. This is…

And What a Data Scientist Can Learn to Face Changing Technology — What threatens a data scientist’s job? As computers get faster and data science tools get better, less of a data scientists job will be focused on optimizing a traditional ML models (non neural network models). Many companies are pursuing AutoML frameworks that can perform a lot of feature engineering and model optimization for all sorts of…

A Weekend Challenge to Myself — What is CartPole? CartPole is an OpenAI environment problem that seeks to test your ability to program a solution to balance a pole on attached to a cart, pictured below. If the pole moves more than 15 degrees from vertical you lose, and if the cart moves of the screen you lose. I…