Browse state-of-the-art
509 leaderboards • 963 tasks • 700 datasets • 8598 papers with code
https://paperswithcode.com/sota
509 leaderboards • 963 tasks • 700 datasets • 8598 papers with code
https://paperswithcode.com/sota
huggingface.co
Trending Papers - Hugging Face
Your daily dose of AI research from AK
Predicting Kickstarter Campaign Success with Gradient Boosted Decision Trees: A Machine Learning Classification Problem
https://medium.com/@rileypredum/predicting-kickstarter-campaign-success-with-gradient-boosted-decision-trees-a-machine-learning-23077436c5f7
https://medium.com/@rileypredum/predicting-kickstarter-campaign-success-with-gradient-boosted-decision-trees-a-machine-learning-23077436c5f7
Medium
Predicting Kickstarter Campaign Success with Gradient Boosted Decision Trees: A Machine Learning Classification Problem
I was surfing data.world the other day and I came across a dataset that lookedat kickstarter campaigns that succeeded and failed.
Forwarded from Artificial Intelligence
Искусственные нейронные сети выращивают навигационные клетки как в мозге
https://habr.com/ru/post/438526/
https://habr.com/ru/post/438526/
Хабр
Искусственные нейронные сети выращивают навигационные клетки как в мозге
Наличие способности находить короткий путь, самый прямой из точки «А» в точку «Б» не выглядит сегодня впечатляющим тестом разумности. Тем не менее, согласно новому отчету, который был опубликован...
MIT Deep Learning Basics: Introduction and Overview with TensorFlow
https://medium.com/tensorflow/mit-deep-learning-basics-introduction-and-overview-with-tensorflow-355bcd26baf0?linkId=63206779
https://medium.com/tensorflow/mit-deep-learning-basics-introduction-and-overview-with-tensorflow-355bcd26baf0?linkId=63206779
Medium
MIT Deep Learning Basics: Introduction and Overview with TensorFlow
As part of the MIT Deep Learning series of lectures and GitHub tutorials, we are covering the basics of using neural networks to solve…
Designing non-linear navigation for machine learning and topic modeling experiences
https://uxdesign.cc/designing-non-linear-navigation-for-machine-learning-and-topic-modeling-experiences-4ee969875ebe
https://uxdesign.cc/designing-non-linear-navigation-for-machine-learning-and-topic-modeling-experiences-4ee969875ebe
Medium
Designing non-linear navigation for machine learning and topic modeling experiences
Baseline
The Best of AI: New Articles Published This Month (January 2019)
10 data articles handpicked by the Sicara team, just for you
https://blog.sicara.com/01-2019-best-ai-new-articles-this-month-8e2113fbd17b
10 data articles handpicked by the Sicara team, just for you
https://blog.sicara.com/01-2019-best-ai-new-articles-this-month-8e2113fbd17b
Intuitive Deep Learning Part 1a: Introduction to Neural Networks
What is Deep Learning? A very gentle and intuitive introduction to Neural Networks and how they work!
https://towardsdatascience.com/intuitive-deep-learning-part-1a-introduction-to-neural-networks-aaeb3a1500df
What is Deep Learning? A very gentle and intuitive introduction to Neural Networks and how they work!
https://towardsdatascience.com/intuitive-deep-learning-part-1a-introduction-to-neural-networks-aaeb3a1500df
Medium
Intuitive Deep Learning Part 1a: Introduction to Neural Networks
What is Deep Learning? A gentle and intuitive introduction to Neural Networks and how they work!
How to Improve Performance With Transfer Learning for Deep Learning Neural Networks
https://machinelearningmastery.com/how-to-improve-performance-with-transfer-learning-for-deep-learning-neural-networks/
https://machinelearningmastery.com/how-to-improve-performance-with-transfer-learning-for-deep-learning-neural-networks/
Debugging your tensorflow code right (without so many painful mistakes)
https://towardsdatascience.com/debugging-your-tensorflow-code-right-without-so-many-painful-mistakes-b48bd9145d5c?source=collection_home---4------0---------------------
https://towardsdatascience.com/debugging-your-tensorflow-code-right-without-so-many-painful-mistakes-b48bd9145d5c?source=collection_home---4------0---------------------
Towards Data Science
Debugging your tensorflow code right (without so many painful mistakes)
When it comes to discussing writing code on tensorflow, it’s always about comparing it to PyTorch, talking about how complex the framework…
Forwarded from Artificial Intelligence
Reflections on the State of AI: 2018
https://medium.com/evolution-one/reflections-on-the-state-of-ai-2018-46504e25263d?source=topic_page---------4------------------1
https://medium.com/evolution-one/reflections-on-the-state-of-ai-2018-46504e25263d?source=topic_page---------4------------------1
Towards Data Science
Reflections on the State of AI: 2018
Every day, multiple news items discussing various things “related to AI” pile up in our mailboxes, and there are dozens, if not hundreds…
A Comprehensive Introduction to Different Types of Convolutions in Deep Learning
https://towardsdatascience.com/a-comprehensive-introduction-to-different-types-of-convolutions-in-deep-learning-669281e58215
https://towardsdatascience.com/a-comprehensive-introduction-to-different-types-of-convolutions-in-deep-learning-669281e58215
Medium
A Comprehensive Introduction to Different Types of Convolutions in Deep Learning
Towards intuitive understanding of convolutions through visualizations
Predict malignancy in cancer tumors with your own neural network
https://towardsdatascience.com/predict-malignancy-in-breast-cancer-tumors-with-your-own-neural-network-and-the-wisconsin-dataset-76271a05e941?source=collection_home---4------0---------------------
https://towardsdatascience.com/predict-malignancy-in-breast-cancer-tumors-with-your-own-neural-network-and-the-wisconsin-dataset-76271a05e941?source=collection_home---4------0---------------------
Towards Data Science
Predict malignancy in cancer tumors with your own neural network
Predict malignancy in breast cancer tumors using a neural network you code from scratch in Python and the Wisconsin Cancer Dataset
The Ancient Secrets of Computer Vision University of Washington.
Free course
This class is a general introduction to computer vision. It covers standard techniques in image processing like filtering, edge detection, stereo, flow, etc. , as well as newer, machine-learning based computer vision.
https://pjreddie.com/courses/computer-vision/
Free course
This class is a general introduction to computer vision. It covers standard techniques in image processing like filtering, edge detection, stereo, flow, etc. , as well as newer, machine-learning based computer vision.
https://pjreddie.com/courses/computer-vision/
Pjreddie
The Ancient Secrets of Computer Vision
🔥1
Introduction to gradient boosting on decision trees with Catboost
Today I would like to share my experience with open source machine learning library, based on gradient boosting on decision trees, developed by Russian search engine company — Yandex.
https://towardsdatascience.com/introduction-to-gradient-boosting-on-decision-trees-with-catboost-d511a9ccbd14
Today I would like to share my experience with open source machine learning library, based on gradient boosting on decision trees, developed by Russian search engine company — Yandex.
https://towardsdatascience.com/introduction-to-gradient-boosting-on-decision-trees-with-catboost-d511a9ccbd14
Medium
Introduction to gradient boosting on decision trees with Catboost
Today I would like to share my experience with open source machine learning library, based on gradient boosting on decision trees…