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January 2017
Tensorflow and deep learning — without PhD by Martin Görner
Kiril Menshikov
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on
Jan 13
A ranking of the 100 most promising private artificial intelligence companies globally
Companies were selected on the basis of their Mosaic scores and their responses to interviews/questions posed by CB Insights’ industry…
Kiril Menshikov
Published
on
Jan 12
December 2016
Polanyi’s Paradox
We can know more than we can tell… The skill of a driver cannot be replaced by a thorough schooling in the theory of the motorcar; the…
Kiril Menshikov
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on
Dec 13, 2016
CS 294: Deep Reinforcement Learning (UC Berkeley)
Instructors: Sergey Levine, John Schulman, Chelsea Finn
Kiril Menshikov
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on
Dec 12, 2016
Measures of Center
Measures of Center
We have 3 ways of measuring the center of a distribution:
Kiril Menshikov
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on
Dec 5, 2016
Why Data Scientists Split Data into Train and Test
http://info.salford-systems.com/blog/bid/337783/Why-Data-Scientists-Split-Data-into-Train-and-Test
Kiril Menshikov
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on
Dec 3, 2016
Understanding the Bias-Variance Tradeoff
When we discuss prediction models, prediction errors can be decomposed into two main subcomponents we care about: error due to “bias” and…
Kiril Menshikov
Published
on
Dec 3, 2016
November 2016
The Probability and Statistics Cookbook
The probability and statistics cookbook is a succinct representation of various topics in probability theory and statistics. It provides a…
Kiril Menshikov
Published
on
Nov 29, 2016
September 2016
Deep Learning: Intelligence from Big Data
A machine learning approach inspired by the human brain, Deep Learning is taking many industries by storm. Empowered by the latest…
Kiril Menshikov
Published
on
Sep 29, 2016
Show and Tell: image captioning open sourced in TensorFlow
Step by step install TBD
Kiril Menshikov
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on
Sep 29, 2016
Markov Chain Monte Carlo Without all the Bullshit
Simple about Markov Chain Monte Carlo
Kiril Menshikov
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on
Sep 28, 2016
DeepBench
DeepBench is an open source benchmarking tool that measures the performance of basic operations involved in training deep neural networks.
Kiril Menshikov
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on
Sep 28, 2016
Machine Learning
Stanford University
Kiril Menshikov
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on
Sep 23, 2016
People
Kiril Menshikov
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on
Sep 22, 2016
Tutorials
Practicle tutorials for machine learning.
Kiril Menshikov
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on
Sep 22, 2016
Build Intelligent Applications
University of Washington
Kiril Menshikov
Published
on
Sep 22, 2016
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Kiril Menshikov