Author: Vincent Granville
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
- Wharton Executive Education’s Customer Analytics program brings data to life, going beyond the numbers to show you how to link them to your strategic initiatives. Learn how to convert numbers into actionable insights, discover how best to convey your data-driven recommendations, and effectively become the translator between the data analytics team and the C-suite. February 25 – March 1, 2019, Philadelphia, PA
Featured Resources and Technical Contributions
- How to Choose a Machine Learning Model – Some Guidelines
- R vs Python: Usability, Popularity, Pros / Cons, Jobs, Salaries +
- VLOOKUP function in R
- Everything You Need to Know About Convolutional Neural Networks
- Expert Insight Book on Machine Learning
- LeNet-5: A Classic CNN Architecture
- Combining Data Tables – SQL Joins Explained
- Question: Edx micromasters
- Question: Error while running the XGboost for Multiclass problem
- Question: Online tool where users can upload an Excel file
Featured Articles
- The Rise of Artificial Intelligence in Enterprise
- Oil Refinery Production: Maximize Profit? Minimize Pollution?
- Embracing Conflict to Fuel Digital Innovation
- Advanced Analytics – The Fourth Great Lever of Corporate Change
- Why Is Data Science Different than Software Development?
- Business Analysis (BA) Career Path
- Spatial Analytics for Micro-marketing
- Agile Framework for Analytics: a Decalogue
- Social Complacency Model of Personal Privacy – The Faulty Discourse
Picture of the Week
Source for picture: contribution marked with a +
From our Sponsors
- Make Data Work For You
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- Penn State applied statistics degree – online
- Earn Your Master’s in Data Analytics Online
- State Of The Art Deep Learning On Apache Spark™ – Oct 31
- How To Structure A Modern DataOps Team – Oct 30
- Data Lake Advances in the Age of Operational ML/AI – Nov 6
- Free Book: Applied Stochastic Processes (members only)
- Math for ML: Open Doors to Data Science and AI (eBook)
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