Sep2018 Oct News, Features
All (52) | Courses, Education (7) | Meetings (5) | News, Features (7) | Opinions, Interviews (14) | Top Stories, Tweets (5) | Tutorials, Overviews (13) | Webcasts & Webinars (1)
- New Poll: What was the largest dataset you analyzed / data mined?
- Oct 12, 2018.
New KDnuggets Poll is asking: What was the largest dataset you analyzed / data mined? Please vote and we will analyze the trends and publish the results.
- SQL, Python, & R: All in One Platform
- Oct 11, 2018.
Mode Studio connects a SQL editor, Python and R notebooks, and a visualization builder in one platform. Sign up now for access.
- Data Mining Book: Chapter Download.
- Oct 10, 2018.
Download this immediately useful book chapter, and learn how to create derived variables, which allow the statistical and Data Science modeling to incorporate human insights.
- Unleash a Faster Python on Your Data
- Oct 2, 2018.
Intel provides optimized Scikit-learn, the most used Python package for classical machine learning. Get faster scikit-learn through Intel® Distribution for Python*
- DevOps 2.0: Applying Machine Learning in the CI/CD Chain
- Oct 2, 2018.
Explore how ML can be implemented in your organization, so you can (for example) enable the automated assessment of test results for far more complex criteria, such as defining thresholds based on statistical significance rather than just presence/absence of specific criteria.
- Dr. Data Show Video: Why Machine Learning Is the Coolest Science
- Oct 1, 2018.
This new web series breaks the mold for data science infotainment, captivating the planet with short webisodes that cover the very best of machine learning and predictive analytics.
- Robust Quality – Powerful Integration of Data Science and Process Engineering
- Oct 1, 2018.
The book by Rajesh Jugulum provides a strong connection between the concepts in data science and process engineering that is necessary to ensure better quality levels and takes you through a systematic approach to measure holistic quality with several case studies.