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Statistical Data Analysis in Python
This tutorial will introduce the use of Python for statistical data analysis, using data stored as Pandas DataFrame objects, taking the form of a set of IPython notebooks.
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America’s Next Topic Model
Topic modeling is a a great way to get a bird's eye view on a large document collection using machine learning. Here are 3 ways to use open source Python tool Gensim to choose the best topic model.
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10 Algorithm Categories for AI, Big Data, and Data Science
With a focus on leveraging algorithms and balancing human and AI capital, here are the top 10 algorithm categories used to implement A.I., Big Data, and Data Science.
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How to Start Learning Deep Learning
Want to get started learning deep learning? Sure you do! Check out this great overview, advice, and list of resources.
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What Data Scientists Can Learn From Qualitative Research
Learn what data scientists can learn from qualitative researchers when it comes to analysing text, and how this relates to writing quality code.
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 Bayesian Machine Learning, Explained
Want to know about Bayesian machine learning? Sure you do! Get a great introductory explanation here, as well as suggestions where to go for further study.
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Top Machine Learning MOOCs and Online Lectures: A Comprehensive Survey
This post reviews Machine Learning MOOCs and online lectures for both the novice and expert audience.
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Streamlining Analytic Deployment: Inside the FICO Decision Management Suite 2.0
This post explains what’s new in the 2.0 version of the FICO Decision Management Suite, and how it can be used by data scientists and others to create stronger customer relationships and provide strategic competitive advantage.
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Support Vector Machines: A Simple Explanation
A no-nonsense, 30,000 foot overview of Support Vector Machines, concisely explained with some great diagrams.
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Interview: Florian Douetteau, Dataiku Founder, on Empowering Data Scientists
Here is an interview with Florian Douetteau, founder of Dataiku, on how their tools empower data scientists, and how data science itself is evolving.
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Bayesian Machine Learning, Explained