This week, I finished and turned in the Collatz project. The current workflow had some issues but in the end, everything worked out. A guy from Bloomberg talked about his job during class on Wednesday. In was interesting to hear about his experience. In Algo, we had our first homework due this week as well. Nonetheless, it has not been too busy of a week. I have resumed work on a number of my personal projects. Namely, I am working on getting some backend + machine learning integrated with my wallpaper. I have scripts that change my wallpaper automatically every day and an application where I can indicate whether I like the image or not. The next step, though, is to make the app pick wallpapers based on what I like.

Right now, there really isn't much in my way. I have work done for the next two weeks for most of my classes. I am looking forward to a really productive week.

Career Fair is next week. For the sake of networking and swag, at the very least, I will be going. I need to get started on the SWE readings earlier next week as well. Finally, I will be spending even more time on my personal projects. I have my partner for the next project as well. We will start on it early next week.

I enjoyed class a lot this week. As others mentioned, though, having to change a number of things on the last few days was a bit annoying. I finished the project early last week but I had to keep going back to fix it. For example, copying from the temp file to the out file and changing my solution to include a non-meta-cache solution. It only took 45 minutes but I had to constanly check Piazza to ensure that I was not missing anything and I was making changes and resubmit even 5 hours from the time it was due. I know that Prof. Downing did not expect us to all implement a pure meta-cache solution and I'm sure that this will be better for the remaining projects.

I highly recommend Clarifai I needed a simple image recognition and machine learning tool for my project this week and Clarifai was my immediate pick. It is extremely easy to install and use. You can get a free API key and it has great tutorials. Give it an image and it will tell you what is in it. Similarly, you can use concepts to search for images as well. Alternatively, you can feed images and train in to recognize whatever you want it to. If you do not want to do the training, it also has public trainings on Food, Travel, NSFW, Weddings, Color, Face Detection, Colors, etc.