Extreme Rare Event Classification using Autoencoders in Keras
https://towardsdatascience.com/extreme-rare-event-classification-using-autoencoders-in-keras-a565b386f098?source=collection_home---4------3---------------------
https://towardsdatascience.com/extreme-rare-event-classification-using-autoencoders-in-keras-a565b386f098?source=collection_home---4------3---------------------
Towards Data Science
Extreme Rare Event Classification using Autoencoders in Keras
In this post, we will learn how to implement an autoencoder for building a rare-event classifier. We will use a real-world rare event…
Искусственный интеллект, великий и ужасный
https://habr.com/ru/post/449900/
https://habr.com/ru/post/449900/
Watch Me Build a Trading Bot
https://www.youtube.com/watch?v=myydDX-us4o
https://www.youtube.com/watch?v=myydDX-us4o
YouTube
Watch Me Build a Trading Bot
I've built a cryptocurrency trading bot called GradientTrader, and in this video I'll show you the tools I used to build it! It uses a graphical interface that lets you back-test on historical data, simulate paper trading, and implement a custom trading strategy…
Announcing Open Images V5 and the ICCV 2019 Open Images Challenge
http://ai.googleblog.com/2019/05/announcing-open-images-v5-and-iccv-2019.html
http://ai.googleblog.com/2019/05/announcing-open-images-v5-and-iccv-2019.html
research.google
Announcing Open Images V5 and the ICCV 2019 Open Images Challenge
Posted by Vittorio Ferrari, Research Scientist, Machine Perception In 2016, we introduced Open Images, a collaborative release of ~9 million imag...
Deep Learning to Solve Challenging Problems (Google I/O'19)
https://www.youtube.com/watch?v=rP8CGyDbxBY
https://www.youtube.com/watch?v=rP8CGyDbxBY
YouTube
Deep Learning to Solve Challenging Problems (Google I/O'19)
This talk will highlight some of Google Brain’s research and computer systems with an eye toward how it can be used to solve challenging problems, and will relate them to the National Academy of Engineering's Grand Engineering Challenges for the 21st Century…
An End-to-End AutoML Solution for Tabular Data at KaggleDays
http://ai.googleblog.com/2019/05/an-end-to-end-automl-solution-for.html
http://ai.googleblog.com/2019/05/an-end-to-end-automl-solution-for.html
Googleblog
An End-to-End AutoML Solution for Tabular Data at KaggleDays
Learn AI Collaboratively by Saving the Planet
https://towardsdatascience.com/learn-ai-collaboratively-by-saving-the-planet-9590efd4370e?source=collection_home---4------0---------------------
https://towardsdatascience.com/learn-ai-collaboratively-by-saving-the-planet-9590efd4370e?source=collection_home---4------0---------------------
Towards Data Science
Learn AI Collaboratively by Saving the Planet
Omdena and Ciencia y Datos has partnered up for a new AI Challenge, if you want to be one of the 50 AI enthusiasts to acquire hands-on…
How I get options data for free
An introduction to web scraping for finance
https://medium.freecodecamp.org/how-i-get-options-data-for-free-fba22d395cc8
An introduction to web scraping for finance
https://medium.freecodecamp.org/how-i-get-options-data-for-free-fba22d395cc8
freeCodeCamp.org
How I get options data for free
By Harry Sauers An introduction to web scraping for finance Ever wished you could access historical options data, but got blocked by a paywall? What if you just want it for research, fun, or to develop a personal trading strategy? In this tutorial, ...
A Convolutional Neural Network Tutorial in Keras and Tensorflow 2
https://medium.com/@isakbosman/a-convolutional-neural-network-tutorial-in-keras-and-tensorflow-2-2bff79f477c0
https://medium.com/@isakbosman/a-convolutional-neural-network-tutorial-in-keras-and-tensorflow-2-2bff79f477c0
Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Artificial Intelligence Podcast
https://www.youtube.com/watch?v=yCd3CzGSte8
https://www.youtube.com/watch?v=yCd3CzGSte8
YouTube
Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21
How to tell whether machine-learning systems are robust enough for the real world
http://news.mit.edu/2019/how-tell-whether-machine-learning-systems-are-robust-enough-real-worl-0510
http://news.mit.edu/2019/how-tell-whether-machine-learning-systems-are-robust-enough-real-worl-0510
MIT News
How to tell whether machine-learning systems are robust enough for the real world
MIT researchers have devised a method that detects inputs called “adversarial examples” that cause neural networks to misclassify inputs, to better measure how robust the models are for various real-world tasks.
Simulating Grains of Sand, Now 6 Times Faster
https://www.youtube.com/watch?v=e_9f5Z0sMYE
https://www.youtube.com/watch?v=e_9f5Z0sMYE
YouTube
Simulating Grains of Sand, Now 6 Times Faster
📝 The paper "Hybrid Grains: Adaptive Coupling of Discrete and Continuum Simulations of Granular Media" is available here:
http://www.cs.columbia.edu/~smith/hybrid_grains/
❤️ Pick up cool perks on our Patreon page: https://www.patreon.com/TwoMinutePapers…
http://www.cs.columbia.edu/~smith/hybrid_grains/
❤️ Pick up cool perks on our Patreon page: https://www.patreon.com/TwoMinutePapers…