Starting to implement machine learning!

Last week, I started viewing tutorials over implementing different machine learning algorithms and activation functions from linear regression and ReLU to logistic regression and the sigmoid function. I was able to gain an opportunity to learn about the various functions and their general objectives, which ones would be the best for certain situations, and was able to learn some standard program implementation of these different algorithms. Specifically, I was able to view certain projects and looked at their program implementations to figure how each of the aspects in a machine learning project works. I was also able to clarify my understanding of creating machine learning projects from start to finish as I was able to learn the exact steps one should take. I now think that I should finally start programming some of these simple algorithms with guidance from the internet to get deeper into my topic of machine learning. This goal will help me learn about the actual program implementations and thus help me start my deep learning projects for my original work.

I hope to be able to dive into computer vision and natural language processing soon to explore my interests and gain skills and knowledge in machine learning. So see you next week, same place, same time.