The following articles were recently hand-picked, and curated by one of our interns, Amelia. They quickly became popular, and cover dozens of topics of interest to data scientists. This is just a small, random selection among popular curated blogs on DSC. You can check our previous selection of curated articles here.
- Implementing a Neural Network from Scratch in Python
- Deep Learning And The Information Bottleneck
- Deep Learning for Natural Language Processing
- On Building a “Fake News” Classification Model
- Nuts and Bolts of Building Deep Learning Applications
- Artificial Intelligence vs. Machine Learning vs. Deep Learning
- A Primer on Deep Learning
- I built a Chatbot in 2 hours and this is what I learned
- Recursive (not recurrent!) Neural Nets in TensorFlow
- Deep Learning Cheat Sheet for Beginners
- AI and ML in 2017
- Dimensional Modeling in the Age of Big Data and Hadoop
- 10 Companies Using Machine Learning in Cool Ways
- Why do Decision Trees Work?
- How can R Users Learn Python for Data Science ?
- Cross-Validation: Concept and Example in R
- Deep Learning Explained – in 4 Simple Facts
- Boosting the accuracy of your Machine Learning models
- Explainable Artificial Intelligence (XAI)
- Deep Learning Research Review: NLP
- How to Spot Visualization Lies
For a full list, visit the profile pages of our interns:
- Emmanuelle Rieuf
- Capri Granville
- Amelia Matteson
- Laetitial van Cauwenberge
- Kelly Quintana
- Andrea Manero-Bastin
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