February 25, 2022
Notes from the eight session of a brand new Office Hours series: Seven Simple Steps to Standardizing the Experiment with guests Dr. Doug Blank, Jacques Verre, Dhruv Nair and Michael Cullan.
Welcome to another recap of the Comet ML Office Hours, powered by The Artists of Data Science! Let’s jump right in.
Unfortunately, I wasn’t able to attend this past week’s session, but the absence of my questionable ramblings about topics I may or may not fully understand left quite a bit more room for the experts to take the floor.
Reviewing the session, I came across two shorter clips that I found particularly compelling. First, Office Hours regular Mark Freeman brought up a really relatable situation he’s encountering. How do you stay at once learn new skills and areas of expertise while not losing the fundamentals of what you do best?
And second, Harpreet gave an excellent breakdown of how to get the most out of Google Search—a must-know skill for data professionals who consistently need to pull reference information from various sources, file types, and more.
As a reminder, we’d love to see any and all of you at these hourlong sessions—so feel free to register for upcoming Office Hours sessions here!
As always, there’s a lot more in the full session (which you can find on Harpreet’s YouTube channel), so be sure to check it out, alongside all of Harpeet’s other excellent content.
Mark’s question around strategies for relearning fundamentals (in his case, Python) that were once key to your work resonated with me deeply. Without consistent practice and exposure, skills, techniques, and stores of knowledge we once held can seemingly evaporate or be pushed out of our brains by newer inputs.
So how do we stay sharp with the fundamentals that got us to where we are? A few suggestions from the group:
A question from Office Hours regular Bharat about Python tools and libraries for working with RSS feed data led to an awesome 4-minute tutorial from Harpreet on how to get the most out of Google Search.
I’m admittedly quite lazy and simplistic with my searching, but for data professionals who sometimes need quick, reliable answers and other times need highly-reviewed, comprehensive information about a given topic, knowing how to quickly let Google or other search engines know what you actually want to see is a key skill that’s easily overlooked.
Specifically, Harpreet covered the following tools and processes:
We run these virtual Office Hours every Sunday at 12pm ET (New York, NY). Completely free to attend and participate, and we’d love to see any and all of you there, help address any questions you might have, and just hang out and talk all things data science and machine learning!
We recently launched The Comet Newsletter, which offers a weekly inside look at all things data science and ML, featuring expert takes and perspective from our team. We have big things planned for both Office Hours and the newsletter, so be sure to subscribe if you haven’t already!