Weekly Digest, September 17
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.
Announcement
- Enterprise AI: Take the Plunge. Data science and advanced analytics front-runner Dataiku announces the release of Dataiku 5.0. This latest release introduces a suite of powerful features to help organizations take the plunge into Enterprise AI. Discover the new features live in the upcoming webinar on September 20th. More info and registration.
Featured Resources and Technical Contributions
- How to use IoT datasets in AI applications (full stack)
- Career Transition Towards Data Science - Making a Learning Sabbatical
- New Perspective on the Central Limit Theorem and Statistical Testing (Updated) +
- Understanding Neural Networks - From neuron to RNN, CNN, and Deep Learning
- A Little College Sports Analysis, Part III.
- Developers’ outlook on modern AI in 2018
- Question: Incidental Homogeneity
- MATLAB toolbox on regime switching copula estimation and simulation
- Restoring limb motion with simple linear model
Featured Articles
- Landing a $150k Data Scientist job - Seven things you need to know
- Analytics Translator – The Most Important New Role in Analytics
- Hiring and Retaining Scarse Analytics Talent
- Machine Learning for CEOs
- Embracing Conflict to Fuel Digital Innovation
- Visual Analytics: Why & How - A light introduction
- Healthcare Analytics: Build-Versus-Buy Quandary A Hurdle
- Designing Data-oriented Processes
- Another Analysis of Punting on 4th Down
- VR is not only for Gaming Industry
Picture of the Week
Source for picture: contribution marked with a +
From our Sponsors
- Learn Now, Pay After You Get a Job in Data Science
- Deep Learning Training Efficiency: Whitepaper
- What is smart analytics?
- Transform Operations with Data: Case Study
- How Google BigQuery Accelerates Your Data Science
- Enterprise AI: Take the Plunge
- Deep Learning - Training your Neural Network
- Building a Recommendation Engine (eBook)
- 4 Ways to Tackle Common Data Prep Issues
- Free Book: Applied Stochastic Processes (members only)
- Math for ML: Open Doors to Data Science and AI (eBook)
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