Top Links:

1. MIT 6.851: Advanced Data Structures (Fall'17) [courses.csail.mit.edu]
2. CNNs, Part 1: An Introduction to Convolutional Neural Networks [victorzhou.com]
3. How to remove duplicate lines from files keeping the original order [iridakos.com]
4. Generalized Additive Models in R [noamross.github.io]
5. Intro to Language Processing with the NLTK [medium.com/@ODSC]
6. Practical Statistics & Visualization With Python & Plotly [towardsdatascience.com]
7. Interpretable Machine Learning [towardsdatascience.com]
   
   
    

Fresh off the press:

• AI Feynman: a Physics-Inspired Method for Symbolic Regression (S.-M. Udrescu, M. Tegmark)
• What is the Entropy of a Social Organization? (C. Zingg, G. Casiraghi, G. Vaccario, F. Schweitzer
• Network motifs and their origins (L. Stone, D. Simberloff , Y. Artzy-Randrup)
• Bitcoin Price Prediction: An ARIMA Approach (A. Azari)
• Learning Multilingual Word Embeddings Using Image-Text Data (K. Singhal, K. Raman, B. tenCate)