AI Digest #177: The "Frequently bought together" recommendation system
#177 — October 11, 2021 | View in browser |
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The "Frequently bought together" recommendation system
A walkthrough in python using Apriori and FP Growth algorithms with the mlxtend library.
Vision transformers for dense prediction
We introduce dense vision transformers, an architecture that leverages vision transformers in place of convolutional networks as a backbone for dense prediction tasks. We assemble tokens from various stages of the vision transformer into image-like representations at various resolutions and progressively combine them into full-resolution predictions using a convolutional decoder.
ResNet strikes back: An improved training procedure in timm
The influential Residual Networks designed by He et al. remain the gold-standard architecture in numerous scientific publications. They typically serve as the default architecture in studies, or as baselines when new architectures are proposed. Yet there has been significant progress on best practices for training neural networks since the inception of the ResNet architecture in 2015.
Stochastic training is not necessary for generalization
It is widely believed that the implicit regularization of stochastic gradient descent (SGD) is fundamental to the impressive generalization behavior we observe in neural networks. In this work, we demonstrate that non-stochastic full-batch training can achieve strong performance on CIFAR-10 that is on-par with SGD, using modern architectures in settings with and without data augmentation.
Heart diseases prediction using machine learning
Machine Learning is applied in a variety of fields all over the world. There is no exception in the healthcare industry. Machine Learning can help forecast the existence or absence of motor problems, heart ailments, and other diseases. Such information, if predicted in advance, can provide valuable insights to clinicians, allowing them to tailor their diagnosis and treatment to each individual patient.
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AI Digest #176: The first rule of machine learning: Start without machine learning
Sunday, October 3, 2021
And more news, tutorials and articles about AI, machine learning, and data science in this week's issue. #176 — October 04, 2021 View in browser AI Digest Spread the word, build the community,
AI Digest #175: What is an A/B Test?
Sunday, September 26, 2021
And more news, tutorials and articles about AI, machine learning, and data science in this week's issue. #175 — September 27, 2021 View in browser AI Digest Spread the word, build the community,
AI Digest #174: The definitive guide to Embeddings
Sunday, September 19, 2021
And more news, tutorials and articles about AI, machine learning, and data science in this week's issue. #174 — September 20, 2021 View in browser AI Digest Spread the word, build the community,
AI Digest #173: Data engineering roadmap
Sunday, September 12, 2021
And more news, tutorials and articles about AI, machine learning, and data science in this week's issue. #173 — September 13, 2021 View in browser AI Digest Spread the word, build the community,
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,
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