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Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python’s most powerful open-source libraries for deep… Read More »Book: Python Machine Learning
This is a collection of 10 great GitHub repositories focusing on IPython, TensorFlow, Theano and related topics, for data scientists. The last one is not… Read More »11 IPython Tutorials for Data Science and Machine Learning
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This notebook was written by Dr. Randal S. Olson from GitHub. In this notebook, Randal is going to go over a basic Python data analysis pipeline… Read More »An example machine learning notebook
Under growing pressure to report accurate findings as they interpret increasingly larger amounts of data, researchers are finding it more important than ever to follow… Read More »Ten simple rules to use statistics effectively
Here are some white papers about Tamr, Lavastorm, Teradata, Rapidminer, Looker, Thingworx, and DataRobot : Tamr Three Problems that Sabotage Analytics and How to Fix… Read More »DataViZ, Data Science and Machine Learning White Papers – Part 4
This article was posted on Mashape by Chris Ismael. Chris is a developer evangelist with proven success and experience in technical evangelism, business development, and software development… Read More »List of 50+ Machine Learning APIs
About the book You’re convinced that you want to enter into a data science career. You’ve done your research and even started to learn some… Read More »Book: A Guide To Data Science Interviews
