😐
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🗒Using Sentiment Induction to Understand Variation in Gendered Online Communities.
📗PDF

#arXiv
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Overview Page: Unsupervised Neural Networks that Fight in a Minimax Game, to Learn the Statistics of Data, or to Achieve Artificial Curiosity in Reinforcement Learning (since the early 1990s):

https://lnkd.in/gxC8Awg

🗣 @AI_Python_arXiv
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▪️Data Science Projects:

☆ The Data Science IPython Notebooks:
=> This repository is filled with IPython notebooks that cover different topics, going from Kaggle competitions to big data and deep learning.
[ https://lnkd.in/dW3WBi6 ]

☆ The Pattern Classification:
=> Tutorials and examples to solve and understand machine learning and pattern classification tasks.
[ https://lnkd.in/d9PGxHm ]

☆ Deep Learning In Python:
=> This repository is the way to go!
[ https://lnkd.in/d-hNVCD ]

More ...
▪️Data Science News
▪️Data Science Books
▪️Data Science Talks
▪️R for Data Science Talks
▪️Python for Data Science Talks
▪️Big Data Talks
▪️Data Science Podcasts
▪️Data Science Webinars
▪️Data Science Tutorials
▪️Data Science Community
▪️Data Science Courses

Refer to the full article
[ https://lnkd.in/dmKmx_D ]

🗣 @AI_Python_arXiv
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Introduction to Artificial Intelligence

Lectures for INFO8006 - Introduction to Artificial Intelligence, Fall 2018.

By Gilles Louppe: https://lnkd.in/eixRYiJ

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AI Pioneer Yoshua Bengio Says Universities Deserve More Credit

By Sam Shead: https://lnkd.in/ehFYW5i

#artificialintelligence #deeplearning #machinelearning

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Efficiently measuring a quantum device using machine learning

🌎 paper : https://arxiv.org/abs/1810.10042

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Andrew Ng : Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

🌎 Paper

🌎 GitHub

🗣 @AI_Python_arXiv
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An archive of all O'Reilly data ebooks is available below for free download. Dive deep into the latest in data science and big data, compiled by O'Reilly editors, authors, and Strata speakers:

There are several selections starting from 2012 Ebooks to 2016 Ebooks.
#Book #کتاب
To download O'Reilly data ebooks,🌎 click here.

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The 10 Neural Network Architectures Machine Learning Researchers Need To Learn

#NeuralNetworks #AI #MachineLearning #DeepLearning #DataScience

🌎 Link Review

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I just got back from EMNLP in Brussels. We were presenting our dataset paper ShARC (a blog post about ShARC will be coming soon). The scale and breadth of the conference was really something, with so many smart people doing amazing things. It was also great to meet, network and talk research with all kinds of academics in NLP. We’ve got some exciting projects planned already, and I’m really just starting out. it was great to meet you all, lets stay in contact.

🌎 Link Review


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Hands-On Transfer Learning with Python

Hands-On Transfer Learning with Python Implement Advanced Deep Learning and Neural Network Models Using TensorFlow and Keras (2018)

What you will learn in this book :

• Explore various DL architectures, including CNN, LSTM, and capsule networks
• Get to grips with models and strategies in transfer learning
• Walk through potential challenges in building complex transfer learning models from scratch
• Explore real-world research problems related to computer vision and audio analysis
• Understand how transfer learning can be leveraged in NLP

🌎 Github

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Another amazing deep learning cheatsheets, this time for Standford's CS 230 - Deep Learning class. A lot of materials covered from convolutional neural networks, recurrent neural networks to practical tips and tricks when training a neural network. Check out their Github repo to download all the materials as pdf or visit their website to read it directly from there.
#deeplearning #machinelearning #cheatsheets

Github: https://lnkd.in/dbiQAve
Website: https://lnkd.in/dpt8CNP

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by Vikas Gupta, we are sharing code (C++ and Python) to use OpenCV's built-in QR code Scanner.

We also compare it with Zbar QR code scanner. Unfortunately, OpenCV falls short, but hey it is a start!

🌎 https://lnkd.in/e9vdZM4

If you like it, please share it.

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Dive into Deep Learning

Jupyter Notebooks, PDF, and website, all generated from one source.

🌎 Link Review

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Data Science: AI Flowchart

~ The vast majority of the AI advancements and applications you hear about refer to a category of algorithms known as machine learning.
~ Machine-learning algorithms use statistics to find patterns in massive amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you. If it can be digitally stored, it can be fed into a machine-learning algorithm.
~ The AI Flowchart, in the post image, is good, given most of the stuff written about AI found on the internet is nonsense.
~ My post about "Data Science: Skills You Actual Need" has drawn the most viewes and comments, not because of its great content, but its absurd content. Go to: https://lnkd.in/dYdMG2E
~ Regarding post re "The Weaknesses Of Variable Selection, Part I,
go to: https://lnkd.in/emxJBYd
~ Regarding post re "The Weaknesses Of Variable Selection, Part II
go to: https://lnkd.in/eBJhgXG
--- B. Noted

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دوره های رایگان یادگیری ماشین آمازون

Amazon makes its machine learning courses available for free

You can check out all of Amazon’s machine learning courses.
#یادگیری_ماشین #ml #منابع
🌎 Link Review
🌎 All link

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✅ اسلایدها و ویدئو ها از کنفرانس
The Scaled Machine Learning Conference 2018
#کنفرانس #یادگیری_ماشین #آموزش #مقاله #منابع

1️⃣ Introduction slide
🔸 Scaled Machine Learning
🔸 Video

2️⃣ RL Systems by Ion Stoica Slides :
🔸 Slide
🔸 Video

3️⃣ Computer Vision Made Simple by Reza Zadeh
🔸 Slides
🔸 Video

4️⃣ Machine Learning for Biomedicine at Scale by Jennifer Chayes
🔸 Slides
🔸 Video

5️⃣ Systems and Machine Learning" by Jeff Dean
🔸 Slides
🔸 Video

6️⃣ Role of Tensors in Large-Scale Machine by Anima Anandkumar
🔸 Slides
🔸 Video

7️⃣ Meta Learning & Self Play by Ilya Sutskever
🔸 Slides
🔸 Video

8️⃣ Large-scale Deep Learning with Keras by Francois Chollet
🔸 Slides
🔸 Video

9️⃣ Scaling of Machine Learning by Bill Dally
🔸 Slides
🔸 Video

🔟 Specialized Deep Learning with Graphcore by Simon Knowles
🔸 Slides
🔸 Video

☑️ Machine Learning at Facebook: An Infrastructure View by Yangqing Jia
🔸 Slides
🔸 Video

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🗣 @AI_Python_arXiv
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Painting with GANPaint!
Link
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Andrew Ng
Our new result in PLOSMedicine: DL to help radiologists w/knee MRI diagnosis, comparing Human+Machine vs. Human alone. Hope systems like these can soon be deployed and help patients!



https://stanfordmlgroup.github.io/projects/mrnet/

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what AI can Does?

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