Continuing my original work!

During the past week, I actually worked on my second mini-project for my original work. I worked on using natural language processing by using recurrent neural networks. During this process, I learned about recurrent neural networks and the general algorithm behind them. It was very interesting because I saw how a simple recurrent neural network basically takes all of the previous words in a text and their respective outputs as the context and then based on the context and the algorithm, it converts the new input word into a final output that describes the meaning of the text. Furthermore, when using recurrent neural networks, I learned that the main idea is to take each of the different words one by one from start to finish and analyze them depending on the context that came before the word.

Furthermore, I was also able to experiment with KNIME and explore more of the designing and prototyping process of a machine learning model. In turn, I was able to get a better understanding of the analytics platform and was able to start my prototyping project on KNIME that will also be a part of the set of my mini-projects for the original work. Now, I am expecting to finish my original work during this week and by doing so, I will grasp a very firm understanding of the different machine learning algorithms and their implementations from convolutional neural networks to recurrent neural networks to prototyping models. So see you next week, same place, same time.