November saw me finishing Make Your Own Neural Network (Rashid, 2016), making good progress with the freeCodeCamp - JavaScript Algorithms and Data Structures Certification, and attending my first coding meetup with London Python.

Make Your Own Neural Network was a great read - it definitely demystified the goings on in neural networks. It goes through the implementation of a neural network to recognise handwriting samples using the MNIST database. The math wasn’t that intimidating either.

The London Python meetup was really cool, the topic of discussion being - Natural Language Processing. The discussion introduced a few of the common tools used in NLP, such as the NLT and spaCy. Also… free pizza and free beer.

I also put together a small project based around the Raspberry Pi and the Raspberry Pi camera. In a nutshell, the project uses the Raspberry Pi camera as an input to “scan” the table of contents in books. The scanned image is then sent to the Google Cloud Vision API to produce OCR’d text. This text is then sent to my organisation’s taxonomy server in order to classify the book. The GitHub repository is available here.

I read:

  • You Don’t Know JS Yet: Get Started (Simpson, 2019)

I started working my way through the The Modern JavaScript Tutorial.