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Nikki CastleMarch 8, 2018

Regression vs. Classification Algorithms

Machine learning algorithms can be split into different categories based on the format of their outputs. By far, the most commonly used are regression and classification algorithms. Find out how they...
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DataScience StaffMarch 1, 2018

DataScience.com at Both Gartner and Strata Next Week

This year, DataScience.com is going to be at both Gartner Data & Analytics Summit and Strata Data Conference from March 5th to 8th.
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Joanne ChuFebruary 27, 2018

Mixing Business with Data: An Elevate Recap

At DataScience.com’s second annual Elevate conference in San Francisco, data practitioners, data science managers, and executives gathered together to bridge the gap between the data science and...
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John SukupFebruary 19, 2018

When K-Means Clustering Fails: Alternatives for Segmenting Noisy Data

K-means clustering is a simple way to segment data into distinct groups. But what happens when outliers or messy data make K-means clusters suboptimal?
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Nikki CastleFebruary 14, 2018

Crowd-Sourced Data and AI: A Perfect Pair

This Valentine's Day we're celebrating crowd-sourced data and artificial intelligence. Find out why they're such an ideal match.
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Nikki CastleFebruary 8, 2018

What is Semi-Supervised Learning?

Find out what semi-supervised machine learning algorithms are and how they compare to supervised and unsupervised machine learning methods.
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Joanne ChuFebruary 1, 2018

Understanding AI, Machine Learning, and Deep Learning

Artificial Intelligence is an umbrella term that includes many subsets such as Machine Learning and Deep Learning. We explore the similarities and differences.
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Raul EulogioJanuary 30, 2018

Performing a Time-Series Analysis on the S&P 500 Stock Index

Learn how to forecast time-series data in R. This tutorial covers exploratory analysis with data visualizations and building and testing an ARIMA model.
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Iliya ValchanovJanuary 25, 2018

Machine Learning: An Overview

Machine learning is a powerful tool for making actionable predictions. Learn about the four ingredients you need to train a machine learning model.
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Jonathan RegensteinJanuary 5, 2018

Building a Sortino Ratio Shiny App

In the final installment of his three-part series, RStudio's Jonathan Regenstein builds a Shiny app that makes it easy for users to explore the Sortino ratio.
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