How to level-up your visualization with the already great package and gridspec — Learning from Machines Think about the algorithms who learn from us.learningfrommachines.substack.com Introduction While many Data Scientists are quite comfortable with the basics of matplotlib, or more specifically pyplot, not many know that there are numerous ways to level up your visualization skills in the package. …

Create environments and integrate them into Jupyter Notebooks with one command — Learning from Machines Learn about the algorithms who learn from us.learningfrommachines.substack.com Introduction For those who are in the Data Science field, automation is one of their favorite words. Automating simple tasks that often take up unnecessary amounts of time is one of the best skills to have. Not only will you be able to get 10/15 minutes of work done with one…

Reflections halfway through my third year — As more and more people enter the broad field of programming, it makes me want to sit back and reflect on what I have learned as I enter my third year of coding nearly every day. …

Mimic the one simple task I am doing. — Introduction We all know how hard the job hunt is. While I do believe that the job hunt should get harder over time, that should not mean that high-potential candidates should be left out in the dark. While I am sure you read dozens of articles of how people got dream…

Interpreting pitch changes for Music Information Retrieval — Introduction Now that the idea of a spectrogram is fully understood, we want to delve deeper into various structures beyond the frequency over time. When studying the sound waves over the Mel Scale, we got a taste of this — especially with the MFCCs. …

Discussing the intersection of two rich fields. — Introduction For those in Data Science and Machine Learning, one of the most important decisions for their future career is which domain specialty to pursue and become an expert in. Some of the most prominent fields is Natural Language Processing (NLP,) Computer Vision, and Quantitative trading. …

#3— You show no true understanding of the Data Science Position. — The job hunt in this field is brutal. While it may be much easier with the right connections, we also have to be real with ourselves, we likely do not have them. If we did, it would be as easy as talking to your connections, sending in your resume, and…

Learn the trade secret for handling big data. — Introduction How big is big data, really? According to Rionaldi Chandraseta, his experience when working with big data was 128 petabytes. This amount of data is truly incomprehensible. I recommend reading his article if you have never worked with data on this scale, it motivated this article as well. Simply put…

Over time, it should get harder too. — Good things never come easy, right? This is the mentality I’ve had during the job search. Honestly, it can be quite difficult to remind myself of this when every opportunity I seem to be so close to slips away. Staying motivated during uncertain times is its own issue completely. …