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My name (“Pauline”) is old fashion without much room for abbreviation. I assumed the following list of features based on…
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In this special guest feature, Levi Brackman, Principal Data Scientist at Travelport, talks about the impact of artificial intelligence on…
Continue Reading“Above the Trend Line” – Your Industry Rumor Central for 1/7/2018
In this edition of our popular “Above the Trend Line” column we’ll feature a number of 2019 prediction commentaries received…
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Once it was fashionable to fret about the prospect of super-intelligent machines taking over the world. The past year showed…
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Infection Modeling — Part 2Optimizing a Vaccination Strategy with Genetic AlgorithmsMark DitsworthBlockedUnblockFollowFollowingJan 7In part 1, we modeled the spread of an infectious pathogen…
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One reason is that it is the conjugate prior to a number of important probability distributions: the categorical distribution and…
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With the whole session. run commands and tensorflow sessions, I was sort of confused. It was not Pythonic at all.…
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Continue ReadingThe Most Important Data Science Tool for Market and Customer Segmentation
The Most Important Data Science Tool for Market and Customer SegmentationUse K-means and let AI advise you how many segments…
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If so, I’d suggest you to free up analysts’ time in this case. You should understand the main power of…
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Continue ReadingWhat are Eigenvalues and Eigenvectors? A must-know concept for Machine Learning
A must-know concept for Machine LearningFarhad MalikBlockedUnblockFollowFollowingJan 6Some concepts live at the heart of data science. Eigenvectors and eigenvalues are one…
Continue ReadingFrom raw images to real-time predictions with Deep Learning
From raw images to real-time predictions with Deep LearningFace expression recognition using Keras, Flask and OpenCVJonathan OheixBlockedUnblockFollowFollowingJan 7Photo by Peter Lloyd on UnsplashIn…
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Click to learn more about author Rosaria Silipo. Machine Learning is all the rage as companies try to make sense…
Continue ReadingPredictions for Big Data Analytics in 2019
Click to learn more about author James Kobielus. Big Data Analytics has been one of the dominant tech trends of this…
Continue ReadingUsing Bayesian Optimization to Tune Machine Learning Models
The presentation below, “Using Bayesian Optimization to Tune Machine Learning Models” by Scott Clark of SigOpt is from MLconf. The…
Continue ReadingHow to Create an Equally, Linearly, and Exponentially Weighted Average of Neural Network Model Weights in Keras
The training process of neural networks is a challenging optimization process that can often fail to converge. This can mean…
Continue ReadingRegression Analysis: Linear Regression
Regression Analysis: Linear RegressionPart I of IIISung KimBlockedUnblockFollowFollowingDec 16, 2018http://dataaspirant. com/2014/10/02/linear-regression/1. IntroductionRegression analysis is perhaps the most fundamental statistical modeling technique…
Continue ReadingSingular Value Decomposition with Example in R
Let’s see. When we decompose our matrix A into U, D, V then a few left-most columns of all three…
Continue ReadingSuicide Prevention Insights with Data Science
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Continue ReadingMarketing Analytics through Markov Chain
Marketing Analytics through Markov ChainRidhima KumarBlockedUnblockFollowFollowingJan 6Image Source : http://setosa. io/ev/markov-chains/Imagine you are a company selling a fast-moving consumer good in the…
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