AI Digest #173: Data engineering roadmap
#173 — September 13, 2021 | View in browser |
AI Digest
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A map for becoming a great data engineer.
In the first post, I present some common techniques for graph analysis that should help us better understand our data.
This article reviews some common options for parallelizing Python code, including process-based parallelism, specialized libraries, ipython parallel, and Ray.
How to visualize data categories in python with pandas
If you have a dataset which is divided into categories of data like: kickstarter projects, flower species or most popular car brands, then it's a good idea to visualize those data categories to see the amount of values within each category.
In this work, we investigate the properties of RL agents that treat their observations as an arbitrarily ordered, variable-length list of sensory inputs. Here, we partition the visual input from CarRacing (Left) and Atari Pong (right) into a 2D grid of small patches, and shuffled their ordering. Each sensory neuron in the system receives a stream of visual input at a particular permuted patch location, and through coordination, must complete the task at hand, even if the visual ordering is randomly permuted again several times during an episode.
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AI Digest #172: A gentle introduction to graph neural networks
Sunday, September 5, 2021
And more news, tutorials and articles about AI, machine learning, and data science in this week's issue. #172 — September 06, 2021 View in browser AI Digest Spread the word, build the community,
Deep learning implementations
Sunday, August 29, 2021
And more news, tutorials and articles about AI, machine learning, and data science in this week's issue. #171 — August 30, 2021 View in browser AI Digest Spread the word, build the community, share
How to build your own AI art installation from scratch
Sunday, August 22, 2021
And more news, tutorials and articles about AI, machine learning, and data science in this week's issue. #170 — August 23, 2021 View in browser AI Digest Spread the word, build the community, share
How to avoid machine learning pitfalls
Sunday, August 15, 2021
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2020: A year full of amazing AI papers
Sunday, August 8, 2021
And more news, tutorials and articles about AI, machine learning, and data science in this week's issue. #168 — August 09, 2021 View in browser AI Digest Spread the word, build the community, share
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