By Parul Pandey – 10 min read
An overview of the Recommendation systems and how they provide an effective form of targeted marketing.
It’s 2019 – Make Your Data Visualizations Interactive with Plotly
By Jeff Hale – 12 min read
Find the path to make awesome figures quickly with Express and Cufflinks
Implementing SPADE using fastai
By Divyansh Jha – 8 min read
Generating photo-realistic images using GANs
ARIMA/SARIMA vs LSTM with Ensemble learning Insights for Time Series Data
By Sharmistha Chatterjee – 14 min read
AR models express the current value of the time series linearly in terms of its previous values and the current residual, whereas MA models express the current value of the time series linearly in terms of its current and previous residual series.
Four ways to quantify synchrony between time series data
By Jin Hyun Cheong – 7 min read
Sample code and data to compute synchrony metrics including Pearson correlation, time-lagged cross correlations, dynamic time warping, and instantaneous phase synchrony.
GANs vs. Autoencoders: Comparison of Deep Generative Models
By Matthew Stewart, PhD Researcher – 23 min read
Want to turn horses into zebras? Make DIY anime characters or celebrities? Generative adversarial networks (GANs) are your new best friend.
Becoming a Level 3.0 Data Scientist
By Jan Zawadzki – 9 min read
Want to be a Junior, Senior, or Principal Data Scientists? Find out what you need to do to navigate the Data Science Career Game
Data Scientists Are Thinkers
By Conor Dewey – 4 min read
Data scientists serve a very technical purpose, but one that is vastly different from other individual contributors. Unlike engineers, designers, and project managers, data scientists are exploration-first, rather than execution-first.
Using Ant Colony and Genetic Evolution to Optimize Ride-Sharing Trip Duration
By James Le – 13 min read
Urban transportation is going through a rapid and significant evolution. Since the birth of the Internet and smartphones, we have become increasingly connected and are able to plan and optimize our daily commute.
