KDnuggets™ News 15:n27, Aug 19: Data Science MS/Certificates Online; Big idea to avoid overfitting; Largest Dataset Mined: trends
Data Science, Analytics Online Degrees and Certificates; Where is Big Data? For most, Largest Dataset is in laptop-size Gigabytes ; 11 things to know about Sentiment Analysis; Recycling Deep Learning Models with Transfer Learning.
Features | Software | Tutorials | Opinions | News | Webcasts | Courses | Meetings | Jobs | Tweets | Quote
Features
Data Science, Analytics, Data Mining Online Degrees and Certificates
- Poll Results: Where is Big Data? For most, Largest Dataset Analyzed is in laptop-size GB range
- 11 things to know about Sentiment Analysis
- Recycling Deep Learning Models with Transfer Learning
- Overcoming Overfitting with the reusable holdout: Preserving validity in adaptive data analysis
Software
Tutorials, Overviews, How-Tos
- Apache Drill Makes Big Data Analysis Easier for Everyone
- Big Idea To Avoid Overfitting: Reusable Holdout to Preserve Validity in Adaptive Data Analysis
Opinions
- OpenText Data-Driven Digest: Visualization, Rivers, and Oceans
- Predictive Analytics as an Engine Of R&D and New Product Launches
News
- Top stories for Aug 9-15: Data Science, Analytics Online Degrees/Certificates; Top influencers in Big Data, Data Science
- July 2015 Analytics, Big Data, Data Mining Acquisitions and Startups Activity
Webcasts and Webinars
- Looker: Data at the Speed of Business, Sep 2
- Rapidminer Webinar: Taming Hadoop - Extracting Value, Aug 20
- Upcoming Webcasts on Analytics, Big Data, Data Science - Aug 18 and beyond
Courses
Meetings
- Smartcon Dubai: Leadership for Data Driven Economy, November 23-24
- EARL2015 Conference for users, developers of R, London (Sep 14-16) and Boston (Nov 2-4)
Jobs
- Fortune 500 firm: Sr. Manager, Predictive Analytics and Data Science
- A leading financial institution: BigData Analytics Developer
- NVIDIA: Senior Data Mining Analyst
- Nexon: Sr. Game Analyst
- Corios LLC: Technical Project Manager
- Corios LLC: Analytics Consultant
Top Tweets
Quote
In a nutshell, the reusable holdout mechanism is simply this: access the holdout set only through a suitable differentially private algorithm. Moritz Hardt, in Overcoming Overfitting with the reusable holdout: Preserving validity in adaptive data analysis