Doing research on implementing machine learning through programming!

Last week, I actually learned how to use a platform such as Jupyter Notebook, TensorFlow, and Pytorch to create machine learning projects. Furthermore, I went through each of the steps from obtaining the data in a csv file to actually testing and measuring the accuracy of a machine learning model. By doing a tutorial, I was able to gain an idea on how I would start implementing my machine learning projects through programming. Thus, I feel much more confident and I think that during this week, I could start with programming really simple models and case studies. I am also continuing my current research on case studies and the entire process of studying advanced concepts. Since these topics have so much to cover and there is a lot to learn, it’s very exciting to start my journey in developing projects although the entire process will take a while to learn.

After this week, my plan is to slowly dig deeper to create projects in computer vision and natural language processing with neural networks. During this time, I also hope to find a mentor who can guide me further into advanced machine learning topics and projects. So see you next week, same place, same time.