The Rise of the Data Engineer
Over the past 5 years working in Silicon Valley at Airbnb, Facebook and Yahoo!, and having interacted profusely with data teams of all kinds working for companies like Google, Netflix, Amazon, Uber, Lyft and dozens of companies of all sizes, Maxime Beauchemin is observing a growing consensus on what “data engineering” is evolving into, and felt a need to share some of my findings.
The Downfall of the Data Engineer
In this post, Maxime Beauchemin want to expose the challenges and risks that cripple data engineers and enumerates the forces that work against this discipline as it goes through its adolescence.
Machine Learning for Humans
Simple, plain-English explanations accompanied by math, code, and real-world examples by Vishal Maini.
How Machines Learn: A Practical Guide
Karlijn Willems lists seven steps (and 50+ resources) that can help you get started in this exciting field of Computer Science, and ramp up toward becoming a machine learning hero.
How AI can aid, not replace, humans in recruitment
One industry where the use of the technology is being actively explored is recruitment, where enterprises are drawing on its capabilities in various ways to help them find new staff.
Report shows that AI is more important to IoT than big data insights
We think that big data is the only thing we need for all of our insights. But in the world of Internet of Things (IoT), that is not the case.
Four deep learning trends from ACL 2017 (part 1)
Four deep learning trends from ACL 2017 (part 2)
In this two-part post, Abigail See describes four broad research trends that she observed at the conference (and its co-located events) through papers, presentations and discussions. The content is guided entirely by her own research interests; accordingly it’s mostly focused on deep learning, sequence-to-sequence models, and adjacent topics.
Deep Learning And Reinforcement Learning Summer School 2017
Slides: https://mila.umontreal.ca/en/cours/deep-learning-summer-school-2017/slides/
Video: http://videolectures.net/deeplearning2017_montreal/
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