Client is looking for a Deep Learning expert to integrate into their development team. (BONUS: Excellent in data sourcing)
Client has developed a vast neural network and utilized extreme machine training analyzing ingested data containing over 30 years of financial performance via several thousand data APIs coming from key data providers in each of the segments like Stock Pricing Data, Core Financial Data, Economic Data, Sentiment Data backed my the unprecedented scale and accuracy from IBM Watson.
Once ingested, the app normalizes the data via a proprietary process enabling the inclusion of this data in the deep learning model. We normalize all input dimensions (by both mean and variance) so that they share a similar distribution while providing different processing in different dimensions for each data set. The end result is a data commonality expressed with an efficiency enabling new predictions to be performed without a significant delay from a normalization issue (a large issue in the market today).
Client's product is a different AI trading insights platform using alternative data sources like social networks trends, marketing influence, video analytics, speech and tone recognition, location data, news, sentiments and behavioral data, real-time bidding advertising exchange signals, online conversions and purchases, at the scale of thousands of transactions per second and petabytes injected daily.
The mining platform employs custom implementation of NLP, packed together with IBM Watson, and extreme learning machine (ELM) to make stock price, trend and interests predictions based on all data sources concurrently.
More details will be sent to you if the client would like to arrange an interview
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