NextGenVest

Tech Blog

Read about the advanced technology we are working on to solve the student debt crisis. We're using deep learning, which involves training systems called artificial neural networks on lots of anonymous student data. We then get them to make inferences about new data.

 

NextGenVest Tech Blog

Read about the advanced technology we are working on to solve the student debt crisis. We're using deep learning, which involves training systems called artificial neural networks on lots of anonymous student data. We then get them to make inferences about new data.

 

NextGenVest Featured in Data Science Blog KDNuggets

Are you using deep neural networks in the real world, solving real world problems? 

Author William Mayo at KDNuggets asked his LinkedIn connections this very question, in the wake of Kaggle's "The State of Data Science and Machine Learning" 2017 report. The Kaggle report revealed that "neural networks" are being employed by 37% of respondents. The report's algorithm breakdown considers CNNs, RNNS, and GANs separately. It's a given that self-selecting surveys are difficult to get perfect, but I was surprised by the high percentage that neural networks garnered, to be honest. It was generally assumed (up to then) that neural networks have been used by a very small percentage of machine learning/data science practitioners on real world problems (as opposed to toy problems for educational purposes).

Read the rest of his post here featuring the work of NextGenVest's engineering team. 

 

Kelly Peeler