In the past few years, the world has witnessed a rapid transformation in the way news and information are created and shared. Machine learning is playing a major role in this revolution, and its impact on journalism, blogging, and authorship is profound. Machine learning algorithms are being used to automatically…

Insights on balancing time and energy I gleaned from parenting at a startup. — Last year, the software startup I worked for was acquired, thus completing an eight-year chapter in my professional career. During this stint, I had two children (now 4 and 6) and parenthood became an integral part of my identity. Parenting is a challenge at any job, but startups are unique…

A tutorial on building a container for both services — After this article was written, AWS released Sagemaker Serverless Inference which you can just use instead. Product lifecycles often require infrequent machine learning inference. Beta releases, for example, may only receive a small amount of traffic. …

MLOps delivers AI at scale for data scientists, but our silos still remain and that’s a shame. — Where We Are and How We Got Here A few years ago, Venture beat reported that only 13% of data science projects make it into production. The primary reason? Companies hired data scientists but neglected to put proper supports in place to productionize their efforts. They siloed the data scientists from the rest of the organization, gave them…

I spend nearly every weekend with my SLR camera, but the last thing I want to do when I get home is pull out my computer to upload, organize, and backup the photos. I just feels like work. I know newer cameras have WiFi and all that, but my trusty…

Often, I find myself copying files via ssh to a remote machine, and then shelling into that machine to organize them (or vice versa). A good example of this is how I organize my photos: I organize them into directories named YYYY/YYYY-MM-DD/ based on the exif data of the file…

After using kedro for 6 months in various projects and teams, I enumerate my thoughts and take homes — I build AI software in two modes: experimentation and productization. During experimentation, I am trying to see if modern technology will solve my problem. If it does, I move on to productization and build reliable data pipelines at scale. This presents a cyclical dependency when it comes to data engineering…

Last spring I was teaching Introduction to Computer Vision at Drexel when COVID-19 hit and, well, everyone had to adjust quickly. While my course always had an online section, I decided to make all of my lectures asynchronous in to provide maximum flexibility to students (and myself). After some prep…