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Data Science Blog

Machine learning & data science for beginners and experts alike.
Sr. Community Content Manager
Sr. Community Content Manager
Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
Community Content Engineer
Community Content Engineer
Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
Quasar
Quasar

The hype around Artificial Intelligence (AI) reached a fevered pitch as the world entered 2019. But what does AI really mean? And how is it related to similarly mystifying terms like ML (machine learning) or ‘deep-learning’?

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Sr. Community Content Manager
Sr. Community Content Manager

@SydneyF gave us the lowdown on neural network fundamentals. The latest feature from Quanta Magazine highlights recent research that attempts to relate a neural network's form to its function: Foundations Built for a General Theory of Neural Networks.

Sr. Data Science Content Engineer
Sr. Data Science Content Engineer

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There are two types of model errors when making an estimate; bias and variance. Understanding both of these types of errors, as well as how they relate to one another is fundamentally important to understanding model overfitting, underfitting, and complexity.

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Sr. Data Science Content Engineer
Sr. Data Science Content Engineer

 

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Machines are not constrained by human experience or expectations, only by what we give them as inputs. This can be exciting and beautiful, or dangerous.

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Sr. Data Science Content Engineer
Sr. Data Science Content Engineer

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Word embeddings are vector representations of words, where more similar words will have similar locations in vector space. First developed by a team of researchers at Google led by Thomas Mikolov, and discussed in the paper Efficient Estimation of Word Representations in Vector Space, word2vec is a popular group of models that produce word embeddings by training shallow neural networks. In this blog post, we apply a word2vec model to the Alteryx Community texts to develop Alteryx-specific word embeddings.

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Alteryx
Alteryx

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Let's see if we can cut down our energy consumption - FROM 97.7 QUADRILLION BTU!

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Atom

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Royden Onishi explains how he & Ryan Andrew created their Image Vectorizer tool with the Python SDK and reflects on their experience in the Alteryx BUILD hackathon.

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Alteryx Alumni (Retired)

 

pig-with-classification.pngUsing a deep neural net to detect what's in an image.

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