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Vol. 107
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Deep Learning for NLP Best Practices

As with almost every other area, Deep Learning made large strides in attacking natural language problems. Here's what you need to know to make these workflows robust.

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Using GRAKN.AI to Detect Patterns in Credit Fraud Data
GRAKN.AI is a new platform that uses philosophical logic and ML to attack problems. Here's their approach to fraud detection.
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WHO Tuberculosis Data & ggplot2
A quick visual exploration of tuberculosis data and how ggplot2 can help visualize your data.
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Building Random Forest Classifier with Python scikit-learn
The Random Forest classifier is one of the most powerful off-the-shelf algorithms in scikit-learn. Let's see a full walkthrough of how to apply the algorithm to a data set.
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Early Bird Ending - We’ve added our 1st round of speakers for ODSC West 2017 in San Francisco. Train with some of the leading data science experts on AI, DL, ML, data science research and more from organizations such as Google, Microsoft, Cisco, DataRobot, Netflix, AirBnB, Facebook, Harvard Lab, Berkeley Lab and many others. Use code EARLYBIRD65 and save 65% on your pass until tomorrow at 11PM.
Meet Speakers + Save 65%
Machine Learning: An In Depth Non Technical Guide - Pt. 4
Here is part 4 of this 5 part series. Model selection is one of the most important parts of a Machine Learning pipeline. Let's walk through the metrics one uses to make a decision.
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Online, Mentor-Guided Data Science Bootcamp
Springboard's Data Science Career Track is the first online course to offer you personalized career coaching, 1-to-1 mentorship from an industry expert, and a job guarantee.
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Final Call For ODSC West Workshop Presenters
Interested in being a workshop presenter at ODSC West 2017? We are selecting the best and brightest to present at our upcoming data science conference in San Francisco, Nov. 2-4. If you would like to be considered for a workshop please apply by clicking below.
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See what's happening in AI and data science in this week's issue of the ODSC Newsletter.
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