Machine Learning

  • The State of Machine Learning in Rust

    Every once in a while this topic comes up on a social media or Rust user channel. I’d like to describe briefly the way I see where things are going by a little bit of history as well as some information about existing flux of Machine Learning/Deep Learning frameworks and major recent trends. Brief history […] Continue reading

  • What’s up with word embedding?

    Word embedding is one of the interesting areas of research in Natural Language Processing. There are huge amount of materials with a lot of interesting ideas. I have been studying some of them lately and in this post, I’d like to create a brief account of the ideas I have found most interesting so far. […] Continue reading

  • Restaurant Revenue Prediction with BART Machine

    In this post, I’d like to show you how to use the newly written package on Bayesian Additive Regression Trees i.e. BART Machine for Restaurant Revenue Prediction with R. The datasets are part of the passed Kaggle competition that can be found here. What is BART? BART is the Bayesian sibling of Random Forest. For […] Continue reading

About Me

I’m a Machine Learning Engineer and have been inhaling in the Data space since 2013. Before that, I was devoted to the pure Mathematics. I like learning and working in public. I blog to manage and structure information. If you want to know more about me and my work, please check out my GitHub and Linkedin.