Making raw data more palatable for your machine learning models using quantization, power transformations, feature scaling, and interaction features
Automation will ultimately increase demand for data scientists instead of decreasing it
True purpose of neural networks begins to emerge: DeepFake Smashed Mouths Smashup
The Guardian publishes its first-ever op-ed written entirely by artificial intelligence
5 concepts every data scientist should know: multicollinearity, encoding, sampling, error, and storytelling
Why machine learning remains a niche while and automation dominates business use of technology
How artificial intelligence and robotics are changing chemical research
Developing a LSTM neural network with PyTorch on trading data to predict the price of unseen trading data
“This is the market for magic, and that market is big. Whether it’s about blockchain, big data, cloud computing, AI or other buzzwords.”
Blockchain, the amazing solution for almost nothing
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Analyzing the logical components of a time series using R
2019: Student wins fiction prize for a story about a dystopian algorithm deciding people's fate based on class. 2020: The same student is denied a university place because of...
an R package for fitting Bayesian epidemiological models using Stan code
5 free resources for data scientists
“The most promising general-purpose algorithms” on the NIST’s list of candidates in the quest for quantum-proof encryption uses lattice approaches
Quantum-proof encryption leaps forward
A US Air Force pilot is taking on AI in a virtual dogfight. The showdown will be the final battle of DARPA's AlphaDogfight competition— here’s how to watch it
Is natural language processing is chasing the wrong goal
Deep learning won’t give us level 5 self-driving cars bec of its long-tail problem—it has distinct limits that prevent it from making sense of the world in the way humans do
Even job openings for data scientists are in deep decline
An animated video of the top 10 data science tools over the past two decades