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Self Driven Data Science — Issue #38
Here’s this weeks lineup of data-driven articles, stories, and resources delivered faithfully to your inbox for you to consume. Enjoy!
Every Online Machine Learning Course Ranked
While this guide was created some time ago, it still serves as a great, relevant resource for seeking out a machine learning course to dive into. I’m excited to say that I’m currently considering a couple of the options on this list at the moment.
Production Recommendation Systems with Cloudera
Many types of business problems boil down to making recommendations, and machine learning is the special sauce that makes these problems solvable. This post goes into how to use Cloudera’s distribution of open source software to build a production scale recommendation system.
The Essential Guide to Take-Home Coding Challenges
Take-home technical assessments are growing more popular as an important part of the interview process. This guide contains some general tips and advice for tackling the challenge, whether more development or data science focused.
How to Build a Deep Learning Model in 15 Minutes
Getting started with deep learning can come with several obstacles regarding performance, complexity, repeatability, and information overload. To address these issues at Instacart, the team standardizes machine learning in Lore.
‘Big Data’ Classes Take On California High Schools
About 30 high schools in California have started offering data science classes for juniors and seniors, in some cases as an alternative to Algebra 2. This is a huge step towards democratizing data science education and development for students.
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Self Driven Data Science — Issue #38 was originally published in Hacker Noon on Medium, where people are continuing the conversation by highlighting and responding to this story.
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