I came across a question on Quora that boiled down to: "How can I learn machine learning in six months?" I started to write up a short answer, but it quickly snowballed into a huge discussion of the pedagogical approach I used and how I made the transition from physics nerd to physics-nerd-with-machine-learning-in-his-toolbelt to data scientist. Here's a roadmap highlighting major points along the way.
During a recent webinar with Course Report, Metis Sr. Data Scientist Kimberly Fessel discusses how Python is used for data science, how much Python you should know before starting a data science bootcamp, and more. Watch it here.
This post features two projects from recent graduates of our data science bootcamp. Take a look at what's possible to create in just 12 weeks, including projects focused on detecting pneumonia using deep learning and predicting track skips in Spotify.
In a book published last week, read interviews with two Metis team members – Chief Data Scientist Debbie Berebichez and Data Scientist Alice Zhao – about their experiences as mothers and data scientists.
One of the most commonly used charts for data visualization is the bar chart. But too often, the starting value of the y-axis is intentionally modified to skew our interpretation of the chart and the data. In this post, see examples and learn how to readily identify this issue.