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Data Scientist Survey: What Is An Interesting Result?
A survey requesting feedback from data scientists on their opinion of what an interesting result is. The survey is anonymous, has only a single mandatory question, and takes only 5 minutes.
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Three Pitfalls to Avoid When Building Data Science Into Your Business
An overview of pitfalls to avoid when building data science into your business, how to avoid them, and what to do instead.
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Microsoft is Becoming M(ai)crosoft
This post is an overview and discussion of Microsoft's increasing investment in, and approach to, artificial intelligence, and how their philosophy differs from their competitors.
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Does Your Company Need a Data Scientist?
Your company needs a data scientist... doesn't it? It very well may not, but you need to know either way. Read on to determine whether or not your company could benefit from the skills of an on-board data scientist.
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Recommender Systems: New Comprehensive Textbook by Charu Aggarwal
Covers recommender systems comprehensively, both fundamentals and advanced topics, organized into: Algorithms and evaluation, recommendations in specific domains and contexts, and advanced topics and applications.
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What Developers Actually Need to Know About Machine Learning
Some guidance on what, exactly, it is that developers need to know to get up to speed with machine learning.
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CrowdFlower 2016 Data Science Report
A new data science report with survey results related to the success and challenges of data scientists, and where data science is going as a discipline.
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Deep Learning for Internet of Things Using H2O
H2O is feature-rich open source machine learning platform known for its R and Spark integration and it’s ease of use. This is an overview of using H2O deep learning for data science with the Internet of Things.
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XGBoost: Implementing the Winningest Kaggle Algorithm in Spark and Flink
An overview of XGBoost4J, a JVM-based implementation of XGBoost, one of the most successful recent machine learning algorithms in Kaggle competitions, with distributed support for Spark and Flink.
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Doing Data Science: A Kaggle Walkthrough – Cleaning Data
Gain insight into the process of cleaning data for a specific Kaggle competition, including a step by step overview.
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