Machine Learning resource: Chris Albon’s Code Snippets and Flashcards

Jessica YungEducation, Machine LearningLeave a Comment

I was looking for code to implement early stopping in Keras today and came across Chris Albon’s website. You may know Chris as a host of Partially Derivative, a podcast about data science. Chris has posted many snippets of commented recipe-like code to do simple things on his website. These range from ways to preprocess images, text and dates such … Read More

Effective Deep Learning Resources: A Shortlist

Jessica YungArtificial Intelligence, Data Science, Education, Machine Learning, StudyingLeave a Comment

A lot of people ask me how to get started with deep learning. In this post I’ve listed a few resources I recommend for getting started. I’ve only chosen a few because I’ve found precise recommendations to be more helpful. Let me know if you have any comments or suggestions! Prelude: If you’re new to machine learning Deep learning is … Read More

How I completed Udacity’s Machine Learning ND in just over one month

Jessica YungCareers, Education, Machine LearningLeave a Comment

How can we learn more effectively in a short amount of time? In this post, I describe how I went about finishing Udacity’s Machine Learning Nanodegree in about a month when it usually takes 6-12 months. I hope this will give you some insight and ideas as to how you might work more effectively to accomplish your own learning goals. Sections in … Read More

Mapping Economics

Jessica YungEconomics, EducationLeave a Comment

Scroll down for sample diagrams. Motivation: How can I contribute with my meagre knowledge of Economics? When you spend over twenty hours a week studying, you cannot help but ask, ‘Am I going to use a significant proportion of this later on in life, especially if I don’t become an economist? (No.) If not, why am I spending time learning … Read More

Why companies prefer hiring PhDs

Jessica YungCareers, EducationLeave a Comment

Many companies have ‘PhD in e.g. computer science, machine learning, maths or [insert quantitative discipline]’ in their minimum qualifications for data scientists, machine learning scientists or quantitative researchers. Why is this so? Here are a few of their responses: PhDs bring real expertise in their areas. We need expertise in cutting-edge methods and technologies and it’s unlikely that people who haven’t … Read More