Data Science News

Data Science

When You Fail, Don’t Blame Data Scientists First — or Data Models
I can even argue formulating the question is so difficult and critical, that it is the deciding factor dividing analysts into seasoned data scientists and junior number-crunchers. Defining proper problem statements is challenging, because: business goals ... @ 2019-09-19T13:32:00
5 Courses to Get You On Track to a Lucrative Data Science Career
With that in mind, it should come as no surprise that these skilled professionals — known as data scientists — are in high demand. But, shockingly, you don’t necessarily need a university degree in order to work in this field. You can get by with ... @ 2019-09-20T09:31:00
Private Climate Firms Say They're Helping. Scientists Worry They're Not
They don’t, however, always adhere to best-practices in science, which encourage openness and independent validation of data and models. Both government and companies “need standardized, consistent, and transparent access to data and assessment ... @ 2019-09-19T18:15:00

Artificial Intelligence (AI)

The Amazing Ways Retail Giant Zalando Is Using Artificial Intelligence
At Zalando, there are teams, that include 120 researchers, focused on how machine learning, that can help the company better understand fashion, what makes a good outfit, the intent of the customer at the moment they are on the site as well as to discern ... @ 2019-09-20T04:28:00
3 Ways Artificial Intelligence Is Uprooting Sales
In 2015, Forrester caused a storm to brew when it announced that artificial intelligence (AI) would replace one million B2B sales jobs by 2020. This bold headline, however, failed to capture the entire picture. Sure, if sales reps continue to rely on age ... @ 2019-09-19T20:26:00
Doctor Bot: How artificial intelligence is already changing healthcare, and what’s coming next
Artificial intelligence is at the center of many emerging technologies today, and perhaps nowhere are the implications more meaningful than in healthcare. So where is AI making an impact in healthcare today? What will the future bring, and how should ... @ 2019-09-19T20:06:00

Extra - If You Have Time

Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
Our novelty is to combine these parts with new neural network architecture and apply these approaches in the context of DDI prediction. We compared NDD with six machine learning classifiers and six state-of-the-art graph-based methods on three benchmark ... @ 2019-09-20T10:35:00
Discrete Probability Distributions for Machine Learning
Discrete probability distributions are used in machine learning, most notably in the modeling ... in the choice of activation functions in the output layer of deep learning neural networks for classification tasks and selecting an appropriate loss function. @ 2019-09-19T19:31:00
The Honda Prize 2019 Awarded to Dr. Geoffrey Hinton, Professor Emeritus, the University of Toronto and Chief Scientific Adviser, Vector Institute
(1) Deep learning: A machine learning method that employs neural networks, inspired by the neurons in the human brain, to allow a computer system to find structure in data automatically without ... @ 2019-09-20T11:38:00