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Featured Blog Posts – January 2017 Archive (5)

In Japan, "Artificial Intelligence" comes to be a super star while "Data Scientist" is fading away

I published a post about the current status of "Data Scientist" in Japan, as a periodic follow-up analysis since two years ago. Its trend still remains, but it's beyond my anticipation at that time.

Indeed growing trend of "Artificial Intelligence" in Japan is steeper than that in English, and "Data Scientist" is now getting to be…

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Added by Takashi J. OZAKI on January 13, 2017 at 6:30am — 1 Comment

How to build a search engine: Part 4

This post is the fourth part of the multi-part series on how to build a search engine –

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Added by Vivek Kalyanarangan on January 10, 2017 at 1:00am — No Comments

7 Traps to Avoid Being Fooled by Statistical Randomness

Randomness is all around us. Its existence sends fear into the hearts of predictive analytics specialists everywhere -- if a process is truly random, then it is not predictable, in the analytic sense of that term.  Randomness refers to the absence of patterns, order, coherence, and predictability in a system. 

Unfortunately, we…

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Added by Kirk Borne on January 9, 2017 at 6:00pm — 5 Comments

12 Statistical and Machine Learning Methods that Every Data Scientist Should Know

Below is my personal list of statistical and machine learning methods that every data scientist should know in 2016.

  1. Statistical Hypothesis Testing (t-test, chi-squared test & ANOVA)
  2. Multiple Regression (Linear Models)
  3. General Linear Models (GLM: Logistic Regression, Poisson Regression)
  4. Random Forest
  5. Xgboost (eXtreme Gradient Boosted Trees)
  6. Deep Learning
  7. Bayesian Modeling with…
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Added by Takashi J. OZAKI on January 8, 2017 at 6:30am — 1 Comment

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