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December 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
Published
on
Dec 3
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
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
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
Show and Tell: image captioning open sourced in TensorFlow
Step by step install TBD
Kiril Menshikov
Published
on
Sep 29
Markov Chain Monte Carlo Without all the Bullshit
Simple about Markov Chain Monte Carlo
Kiril Menshikov
Published
on
Sep 28
DeepBench
DeepBench is an open source benchmarking tool that measures the performance of basic operations involved in training deep neural networks.
Kiril Menshikov
Published
on
Sep 28
Machine Learning
Stanford University
Kiril Menshikov
Published
on
Sep 23
People
Kiril Menshikov
Published
on
Sep 22
Tutorials
Practicle tutorials for machine learning.
Kiril Menshikov
Published
on
Sep 22
Build Intelligent Applications
University of Washington
Kiril Menshikov
Published
on
Sep 22
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Kiril Menshikov