Weekly Digest, February 19
Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week.
Announcements
- Marketing Analytics and Data Science – April 11-13, 2018, San Francisco, CA
MADS is where you get hands on with Data. You’ll work with peers to put conference techniques into practice to be better equipped to drive specific business purposes. Gain insight from industry thought leaders like Former White House Data Scientist DJ Patil. Use VIP code MADS18DSC to save 20%. - Learn to analyze, calculate and interpret data with a certificate program through Duke Continuing Studies. The Big Data & Data Science Certificate is offered in a blended format that includes self-paced content, live virtual classrooms and hands-on application to put what you’ve learned into practice. Designed by industry experts, this certificate program is a comprehensive education that will increase your likelihood of success in the industry. Enroll and start anytime!
Featured Resources and Technical Contributions
- Book: The Master Algorithm
- Generalized Coefficient of Correlation for Non-Linear Relationships +
- Curve Fitting using Linear and Nonlinear Regression
- Book: Blockchain Basics
- Question about Some Statistical Distributions
- Changes in Job Counts by Education Grouping, 1992-2017
- Image Colorization Using Optimization in Python
- Analyzing Geographic Data with QGIS – Part 1
- Interactive Image Segmentation with Graph-Cut in Python
- How much rain can you count
- Selected Recent Articles from Top DSC Contributors – Part 5
- Question: Object Storage Error in IBM Data Science Experience
Featured Articles
- Five Misconceptions about Data Science – Knowing What You Don’t Know
- Supervised learning in disguise: the truth about unsupervised learning
- Off the Beaten path – Using Deep Forests to Outperform CNNs and RNNs
- How State Governments Can Protect and Win with Big Data, AI and Privacy
- The Golden Record: Explained
- How to tailor your Academic CV for Data Science roles
- The thin lines: business intelligence (BI), business analytics (BA), and data analytics
- Your Journey to Data Science Maturity (by Kirk Borne)
- AI: Robots Helping Each Other (Nice Video)
- A Guide to AWS
- Simple questions to measure the ability of a data scientist
- Question: Change of Field for Tenured University Professors
- What’s Better to Learn First: Spark Vs Hadoop?
- Applied Ontology and the Drivers of Data Recognition
- Facial recognition in Digital Age
Picture of the Week
Source for picture: contribution marked with a +
From our Sponsors
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- The Promise of Natural Language Processing (NLP)
- Scaling Analytics Modeling: Case Study
- Live webinar series: 2018 Top 10 Business Intelligence Trends
- Become a 3-Dimensional Data Scientist with Notre Dame (Whitepaper)
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