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Auto-Scaling scikit-learn with Spark
Databricks gives us an overview of the spark-sklearn library, which automatically and seamlessly distributes model tuning on a Spark cluster, without impacting workflow.
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Python Data Science with Pandas vs Spark DataFrame: Key Differences
A post describing the key differences between Pandas and Spark's DataFrame format, including specifics on important regular processing features, with code samples.
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Deep Learning with Spark and TensorFlow
The integration of TensorFlow with Spark leverages the distributed framework for hyperparameter tuning and model deployment at scale. Both time savings and improved error rates are demonstrated.
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How to Check Hypotheses with Bootstrap and Apache Spark
Learn how to leverage bootstrap sampling to test hypotheses, and how to implement in Apache Spark and Scala with a complete code example.
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Implementing Your Own k-Nearest Neighbor Algorithm Using Python
A detailed explanation of one of the most used machine learning algorithms, k-Nearest Neighbors, and its implementation from scratch in Python. Enhance your algorithmic understanding with this hands-on coding exercise.
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How to Tackle a Lottery with Mathematics
With mathematical rigor and narrative flair, Adam Kucharski reveals the tangled history of betting and science. The house can seem unbeatable. In this book, Kucharski shows us just why it isn't. Even better, he shows us how the search for the perfect bet has been crucial for the scientific pursuit of a better world.
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Yahoo Releases the Largest-ever Machine Learning Dataset for Researchers
Are you interested in massive amounts of data for research? Yahoo has just released the largest-ever machine learning dataset to the research community.
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Data Science Humor: Google Analytics, if Applied in Real Life
From the lighter side: how Google Analytics would look if applied in real life situations.
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Free Online Course: Statistical Learning
With a free MOOC from Stanford, dive into statistical learning with the respected professors who literally wrote the book on it.
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Sentiment Analysis 101
Sentiment analysis can be incredibly useful, and can help companies better answer pertinent questions and gain valuable business insights. Sentiment analysis technologies will continue to improve as they become more widely adopted. But what can sentiment analysis do for you?
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