I've never been an avid blogger. Perhaps because it's tedious to come up with material for a general purpose blog, or perhaps because I never felt I had any novel material to contiribute to society as a whole. The deeper I've delved in to world of data science, however, the more I've seen how integral blogging has become to the expansion and success of this field. Blog posts are where machine learning pioneers first share their findings, and simultaneously where budding data scientists look for others in their same position — students floundering their way through the ever-expanding technological and mathematical barriers to entry. More than once, I've found myself in the same shoes: scouring blogs for tips on career changes, statistical concepts, applicable code and success stories.
Now, more than two years after my initial forray into the world of Python, I'm taking the advice of fast.ai co-founder, Dr. Rachel Thomas, and starting my own blog. My goal is to not only document what I'm working on, but to help others who've taken the same brave step to transform their careers through data. As Dr. Thomas wisely said, "You are best positioned to help people one step behind you."
Although I don't particularly believe in making New Year Resolutions, my goal is to share either a post or a project at least once a month as I continue to learn throughout 2020. Perhaps a month or two (or 10) down the road, another self-taught data scientist will find inspiration in the work and perspective I share here.