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New
The latest blog posts to take off on Hacker News. 250 posts.
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Introduction to Mean Shift Algorithm
Its been quite some time since I wrote a Data Mining post . Today, I intend to post on Mean Shift – a really cool but not very well known algorithm. The basic idea is quite simple but the results a…
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One Hundred Year Study on Artificial Intelligence: 2016 Report
Artificial Intelligence and Life in 2030
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Speech Is 3x Faster Than Typing for English and Mandarin on Mobile Devices
With the ubiquity of mobile devices like smartphones, two new widely used methods have emerged: miniature touch screen keyboards and speech-based dictation. It is currently unknown how these two modern methods compare. We therefore evaluated the text entry performance of both methods in English and in Mandarin Chinese…
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Infrastructure for Deep Learning
Deep learning is an empirical science, and the quality of a group’s infrastructure is a multiplier on progress. Fortunately, today’s open-source ecosystem makes it possible for anyone to build great deep learning infrastructure.
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Facebook AI Research Team Open Source DeepMask and SharpMask
Visit the post for more.
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Language contains human biases, and so will machines trained on language corpora
I have a new draft paper with Aylin Caliskan-Islam and Joanna Bryson titled Semantics derived automatically from language corpora necessarily contain human biases. We show empirically that natural language necessarily contains human biases, and the paradigm of training machine learning on language corpora means that…
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Text Summarization with TensorFlow
Posted by Peter Liu and Xin Pan, Software Engineers, Google Brain TeamEvery day, people rely on a wide variety of sources to stay informed -- from ...
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Some of the most important deep learning papers
Engineering at Forward | UCLA CS '19
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Building a Real-Time Recommendation Engine
Learn how to build a real-time recommendation engine powered by social, similarity and cluster factors, all leveraging the power of advanced data science.
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Computers do better than pathologists in predicting lung cancer type, severity
Automating the analysis of slides of lung cancer tissue samples increases the accuracy of tumor classification and patient prognoses, according to a new study.
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Facebook AI Research Open Sources fastText
At Meta, research permeates everything we do. We believe the most interesting research questions are derived from real world problems.
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Machine Learning Unconference
The latest information about the Unconference is now available at the Unconference wiki, which will be periodically updated with more information for attendees.
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The Difference Between AI, Machine Learning, and Deep Learning
Explore the progression from AI training to AI inference, and how they both function.
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Grokking Deep Learning
A machine learning craftsmanship blog.
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Sam Altman talks with Mark Zuckerberg about how to build the future [video]
Read more on Y Combinator's blog.
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Two Weeks of Colorizebot
About two weeks ago we released ColorizeBot to wander around Reddit. This Reddit bot has started by coloring images on r/OldSchoolCool and a day after, spread all over Reddit. The bot was based on a pre-trained neural network - More information on the netwrok can be found here. After
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Machine Learning Exercises in Python, Part 1
KOITOTO LOGIN menghadirkan akses cepat, aman, dan praktis untuk pengalaman hiburan online modern dengan navigasi responsif, performa stabil, serta kenyamanan maksimal setiap waktu.
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Mapping the World of Music Using Machine Learning: Part 1
In June 2016 Ravi Mody and Tim Schmeier gave a presentation at the NYC Machine Learning meetup to discuss their work on the data science…
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Image Completion with Deep Learning in TensorFlow
Content-aware fill is a powerful tool designers and photographers use to fill in unwanted or missing parts of images. Image completion and inpainting are closely related technologies used to fill in missing or corrupted parts of images. There are many ways to do content-aware fill, image completion, and inpainting. In…