Great way to explain AI trough python and R
link: https://lnkd.in/fV36Jfp
Credit: Francesco Pochetti
Data Science Process https://lnkd.in/fMHtxYP
Data Visualization in Business https://lnkd.in/fYUCzgC
Understand How to answer Why https://lnkd.in/f396Dqg
Know Machine Learning Key Terminology https://lnkd.in/fCihY9W
Understand Machine Learning Implementation https://lnkd.in/f5aUbBM
Machine Learning Applications on Marketing https://lnkd.in/fUDGAQW
Machine Learning Applications on Retail https://lnkd.in/fihPTJf
#machinelearning #datascience #artificialintellgence
link: https://lnkd.in/fV36Jfp
Credit: Francesco Pochetti
Data Science Process https://lnkd.in/fMHtxYP
Data Visualization in Business https://lnkd.in/fYUCzgC
Understand How to answer Why https://lnkd.in/f396Dqg
Know Machine Learning Key Terminology https://lnkd.in/fCihY9W
Understand Machine Learning Implementation https://lnkd.in/f5aUbBM
Machine Learning Applications on Marketing https://lnkd.in/fUDGAQW
Machine Learning Applications on Retail https://lnkd.in/fihPTJf
#machinelearning #datascience #artificialintellgence
Francescopochetti
Whitening a black box: how to interpret a ML model
Introduction
I find the domain of interpretable ML incredibly fasci
I find the domain of interpretable ML incredibly fasci
Imbalanced Multiclass Classification with the Glass Identification Dataset
https://machinelearningmastery.com/imbalanced-multiclass-classification-with-the-glass-identification-dataset/
https://machinelearningmastery.com/imbalanced-multiclass-classification-with-the-glass-identification-dataset/
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
Code: https://github.com/HRNet/Higher-HRNet-Human-Pose-Estimation
Paper: https://arxiv.org/abs/1908.10357
Code: https://github.com/HRNet/Higher-HRNet-Human-Pose-Estimation
Paper: https://arxiv.org/abs/1908.10357
GitHub
GitHub - HRNet/HigherHRNet-Human-Pose-Estimation: This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale…
This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)...
Rethinking Image Mixture for Unsupervised Visual Representation Learning
Code: https://github.com/szq0214/Rethinking-Image-Mixture-for-Unsupervised-Learning
Paper: https://arxiv.org/abs/2003.05438v1
Code: https://github.com/szq0214/Rethinking-Image-Mixture-for-Unsupervised-Learning
Paper: https://arxiv.org/abs/2003.05438v1
GitHub
szq0214/Rethinking-Image-Mixture-for-Unsupervised-Learning
Rethinking Image Mixture for Unsupervised Visual Representation Learning - szq0214/Rethinking-Image-Mixture-for-Unsupervised-Learning
Neural Baseline and GECA for Grounded SCAN
This repository contains a multi-modal neural sequence-to-sequence model with a CNN to parse a world state and joint attention over input instruction sequences and world states.
Github: https://github.com/LauraRuis/multimodal_seq2seq_gSCAN
Paper: https://arxiv.org/abs/2003.05161
This repository contains a multi-modal neural sequence-to-sequence model with a CNN to parse a world state and joint attention over input instruction sequences and world states.
Github: https://github.com/LauraRuis/multimodal_seq2seq_gSCAN
Paper: https://arxiv.org/abs/2003.05161
GitHub
GitHub - LauraRuis/multimodal_seq2seq_gSCAN: The multi-modal sequence to sequence baseline neural models used in the Grounded SCAN…
The multi-modal sequence to sequence baseline neural models used in the Grounded SCAN paper. - LauraRuis/multimodal_seq2seq_gSCAN
Higher accuracy on vision models with EfficientNet-Lite
https://blog.tensorflow.org/2020/03/higher-accuracy-on-vision-models-with-efficientnet-lite.html
Paper: https://arxiv.org/abs/1905.11946
https://blog.tensorflow.org/2020/03/higher-accuracy-on-vision-models-with-efficientnet-lite.html
Paper: https://arxiv.org/abs/1905.11946
blog.tensorflow.org
Higher accuracy on vision models with EfficientNet-Lite
In May 2019, Google released a family of image classification models called EfficientNet, which achieved state-of-the-art accuracy with an order of magnitude of fewer computations and parameters. If EfficientNet can run on edge, it opens the door for novel…
Basic Data Cleaning for Machine Learning (That You Must Perform)
https://machinelearningmastery.com/basic-data-cleaning-for-machine-learning/
https://machinelearningmastery.com/basic-data-cleaning-for-machine-learning/
Semantic Pyramid for Image Generation
Github: https://semantic-pyramid.github.io
Paper: https://arxiv.org/abs/2003.06221
Github: https://semantic-pyramid.github.io
Paper: https://arxiv.org/abs/2003.06221
An AI program that plays Flappy Bird using reinforcement learning.
Code: https://github.com/taivu1998/FlapAI-Bird
Model: https://stanford-cs221.github.io/autumn2019-extra/posters/18.pdf
Paper: https://arxiv.org/abs/2003.09579
Code: https://github.com/taivu1998/FlapAI-Bird
Model: https://stanford-cs221.github.io/autumn2019-extra/posters/18.pdf
Paper: https://arxiv.org/abs/2003.09579
GitHub
GitHub - taivu1998/FlapAI-Bird: An AI program that plays Flappy Bird using reinforcement learning.
An AI program that plays Flappy Bird using reinforcement learning. - taivu1998/FlapAI-Bird
Massively Scaling Reinforcement Learning with SEED RL
https://ai.googleblog.com/2020/03/massively-scaling-reinforcement.html
Paper: https://arxiv.org/abs/1910.06591
https://ai.googleblog.com/2020/03/massively-scaling-reinforcement.html
Paper: https://arxiv.org/abs/1910.06591
Googleblog
Massively Scaling Reinforcement Learning with SEED RL
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AI in Art !! 😍
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Covid Deaths !!! Stay home!!! Stay safe!!!
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Paint gota brain!!! 🤩
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Google leans or this ?
Hi,
We are looking for content creator/ video editor.
Even basic knowledge would work to start with.
Those who are interested can ping me in person.
Thanks,
AI with AI
We are looking for content creator/ video editor.
Even basic knowledge would work to start with.
Those who are interested can ping me in person.
Thanks,
AI with AI
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VIEW IN TELEGRAM
Corona OutBreak!!!