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Mertricks

İsmim Mert, metric'lerle yaşarım, trick'lere bayılırım. The Matrix serisini de severim.

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Analyzing Digital Divide Among Regions of Turkey

Analyzing Digital Divide Among Regions of Turkey

Recent Posts

  • The Geometry of Linear Programming
  • Linear Programming Notes
  • The Magic Behind The Linear Methods for Regression – Part 1
  • From Least Squares to KNN, Statistical Models, Supervised Learning and Function Approximation
  • MITx: 6.041x – Introduction to Probability – The Science of Uncertainty

Recent Comments

Auhan on MITx: 6.041x – Introduct…
idil çetinkaya on Basit Doğrusal Regresyon (Simp…
İlker on İstatistiksel Öğrenme –…
Utkucan Sahin on Basit Doğrusal Regresyon (Simp…
Yasin on 5 – Ziyaretçi Çekme(pull…

Archives

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  • December 2015
  • July 2015
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Categories

  • Growth Hacking
  • istatistiksel öğrenme
  • linear optimization
  • machine learning
  • MOOCs
  • Olasılık Teorisi
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  • Veri Madenciliği

Recent Posts

  • The Geometry of Linear Programming
  • Linear Programming Notes
  • The Magic Behind The Linear Methods for Regression – Part 1
  • From Least Squares to KNN, Statistical Models, Supervised Learning and Function Approximation
  • MITx: 6.041x – Introduction to Probability – The Science of Uncertainty

Recent Comments

Auhan on MITx: 6.041x – Introduct…
idil çetinkaya on Basit Doğrusal Regresyon (Simp…
İlker on İstatistiksel Öğrenme –…
Utkucan Sahin on Basit Doğrusal Regresyon (Simp…
Yasin on 5 – Ziyaretçi Çekme(pull…

Archives

  • January 2017
  • October 2016
  • August 2016
  • April 2016
  • February 2016
  • December 2015
  • July 2015
  • May 2015
  • April 2015
  • January 2015
  • November 2014
  • October 2014
  • July 2014
  • May 2014

Categories

  • Growth Hacking
  • istatistiksel öğrenme
  • linear optimization
  • machine learning
  • MOOCs
  • Olasılık Teorisi
  • statistical learning
  • Uncategorized
  • Veri Madenciliği

Recent Posts

  • The Geometry of Linear Programming
  • Linear Programming Notes
  • The Magic Behind The Linear Methods for Regression – Part 1
  • From Least Squares to KNN, Statistical Models, Supervised Learning and Function Approximation
  • MITx: 6.041x – Introduction to Probability – The Science of Uncertainty

Recent Comments

Auhan on MITx: 6.041x – Introduct…
idil çetinkaya on Basit Doğrusal Regresyon (Simp…
İlker on İstatistiksel Öğrenme –…
Utkucan Sahin on Basit Doğrusal Regresyon (Simp…
Yasin on 5 – Ziyaretçi Çekme(pull…

Archives

  • January 2017
  • October 2016
  • August 2016
  • April 2016
  • February 2016
  • December 2015
  • July 2015
  • May 2015
  • April 2015
  • January 2015
  • November 2014
  • October 2014
  • July 2014
  • May 2014

Categories

  • Growth Hacking
  • istatistiksel öğrenme
  • linear optimization
  • machine learning
  • MOOCs
  • Olasılık Teorisi
  • statistical learning
  • Uncategorized
  • Veri Madenciliği

Recent Posts

  • The Geometry of Linear Programming
  • Linear Programming Notes
  • The Magic Behind The Linear Methods for Regression – Part 1
  • From Least Squares to KNN, Statistical Models, Supervised Learning and Function Approximation
  • MITx: 6.041x – Introduction to Probability – The Science of Uncertainty

Recent Comments

Auhan on MITx: 6.041x – Introduct…
idil çetinkaya on Basit Doğrusal Regresyon (Simp…
İlker on İstatistiksel Öğrenme –…
Utkucan Sahin on Basit Doğrusal Regresyon (Simp…
Yasin on 5 – Ziyaretçi Çekme(pull…

Archives

  • January 2017
  • October 2016
  • August 2016
  • April 2016
  • February 2016
  • December 2015
  • July 2015
  • May 2015
  • April 2015
  • January 2015
  • November 2014
  • October 2014
  • July 2014
  • May 2014

Categories

  • Growth Hacking
  • istatistiksel öğrenme
  • linear optimization
  • machine learning
  • MOOCs
  • Olasılık Teorisi
  • statistical learning
  • Uncategorized
  • Veri Madenciliği
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  • Collaborations
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