100 Most useful Theorems and Ideas in Mathematics |
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661 |
Standard Deviation of Sample Median |
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660 |
Computer Evaluation of the best Historical Chess Players |
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610 |
“Deep Support Vector Machines for Regression Problems” |
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524 |
Dropout – What happens when you randomly drop half the features? |
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432 |
Notes on “A Few Useful Things to Know about Machine Learning” |
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366 |
“Machine Learning Techniques for Stock Prediction” |
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343 |
Bengio LeCun Deep Learning Video |
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327 |
The 20 most striking papers, workshops, and presentations from NIPS 2012 |
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289 |
Simpson’s paradox and Judea Pearl’s Causal Calculus |
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283 |
The Exact Standard Deviation of the Sample Median |
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271 |
“Machine Learning Cheat Sheet (for scikit-learn)” |
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262 |
Matlab code and a Tutorial on DIRECT Optimization |
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250 |
Comet ISON, Perihelion, Mars, and the rule of 13.3 |
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240 |
Markov Logic Networks Tutorial |
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229 |
Approximation of KL distance between mixtures of Gaussians |
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218 |
About |
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208 |
Category Theory ? |
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183 |
Searching a Game Tree with a GPU |
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173 |
What is probabilistic programming and Why it Matters |
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159 |
Checkers and Machine Learning |
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150 |
“Semantic Hashing” |
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149 |
Lifted Inference |
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144 |
“Stacked Generalization” |
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142 |
Knowledge Representation, Ologs, and Category theory |
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136 |
“A Neuro-evolution Approach to General Atari Game Playing” |
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136 |
“Is chess the drosophila of artificial intelligence?” |
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135 |
Most popular posts |
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132 |
Johnson–Lindenstrauss lemma |
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130 |
Why are Gaussian Distributions Great? |
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125 |
Deriving the Gaussian Distribution from the Sterling Approximation and the Central Limit Theorem |
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124 |
Julia Language |
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120 |
Strong AI, ML, GOFAI, Category Theory, and Abstraction |
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118 |
Sparse Kalman Filters |
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111 |
“Randomized Numerical Linear Algebra (RandNLA): Theory and Practice” |
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107 |
An ODE, Orthogonal Functions, and the Chebyshev Polynomials |
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98 |
“Machine Learning: A Love Story” |
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98 |
“BOA: The Bayesian Optimization Algorithm” |
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96 |
“Autoencoders, MDL, and Helmholtz Free Energy” |
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92 |
Yann Esposito’s Category theory Slides with Haskell |
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85 |
TED: “The key to growth? Race with the machines” |
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84 |
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