In week 8 I was discovering an algorithm for my Machine learning Project in this year, and I am about to analyse this algorithm for my report assignment.
Why to do this
As a part of the Data Science course, investigating a Machine Learning algorithm is essential. And we have a final project that requires to implement an algorithm and do some cool stuffs, it is important to understand this algorithm first.
What I chose
I chose to discover NLP, the Natrual Language Processing. However, I haven’t decide which of the NLP algorithms to analyse and implement it in my final project, but my final choice will be one of these algorithms:
- Lemmatization and Stemming.
- Keyword Extraction.
- Topic Modelling.
- Knowledge Graphs.
- Named Entity Recognition.
- Words Cloud.
- Machine Translation.
- Sentiment Analysis. Sentiment analysis is the most common method used by NLP algorithms.
Why did I choose it
I chose NLP because it is cool enough, it gives machine the ability to understand human language, and I hope I can make an AI that understands what programmer says and write codes by themselves, this first requires the AI to have the ability to understand what people said, which requires NLP. Although I still don’t really have a clue for what to do for my final project, I have confident that when I figure it out, it will be a very intersting and cool stuff.
Conclusion
This week I chose what to analyse for the report and what to implement in the final project, next week I will try do some research and implement some parts of the algorithm.