Data36 Data Science Podcast - How to Find a Data Science Mentor (3 Tips)

Oct 16, 2020

What MACHINE LEARNING algorithms should an aspiring data scientist learn and practice more?

I get way too many questions from aspiring data scientists regarding machine learning. Like what parts of machine learning learning they should learn more about to get a job. And I don't want to disappoint you -- but the thing is that when you get started as a junior, ninety five percent of your projects won't be about Machine Learning. At least, that's a rough average. So what parts of machine learning should you learn more about when preparing for your first job? Well. None? :-) Okay, that's not true. There are some parts that you'll have to know about. I'll talk more about that in this episode. * Youtube version: https://youtu.be/yHfRQwOkhJY * Original article format here: https://data36.com/machine-learning-algorithms-for-juniors/ LINKS MENTIONED IN THE EPISODE: * https://data36.com/linear-regression-in-python-numpy-polyfit/ * https://data36.com/jds/ * http://www.r2d3.us/visual-intro-to-machine-learning-part-1/ * Newsletter: https://data36.com/newsletter * Free mini-course: https://data36.com/how-to-become-a-data-scientist/ Check my website: https://data36.com Get access to more data science tutorials, join the inner circle: https://data36.com/inner-circle Find me on Twitter: https://twitter.com/data36_com

11 min