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    2,662 data prediction java jobs found, pricing in USD

    Its business applicatio...Material Management with business analytics. Use of Artificial Intelligence (AI) and Machine Learning (ML) for notifications or sending critical alerts to key stakeholders and prediction is preferred. Use of latest tools and technologies preferred that support multi-organisation, mulit-user, mult-lingual and multi-currency.

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    Hi Milan S., I am interested in timeseries prediction with Machine Learning methods (for instance LSTMs), let me know if you are interested, and I can tell you more

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    There are several publications available about using neuronal network / AI to predict solar plant power / energy output based on 24h weater forecast. The idea is to build up an algorithm that can be trained with daily quarter hourly or hourly values measured from solar plant and 24h weather forecast, which predicts solar plant power energy reliable (in about 20% of daily real value). The algorithm...

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    run python prediction modeling code , to get result , need fast machine to perform it very fast ARIMA and LSTM

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    ...information which I mentioned above, as you are mostly busy to do bidding blindly. So here is some quick question for you, who is going to become next pm of the country as your prediction? If you do not answer this question on your proposal I do not consider your bid at all. These tasks needs to start asap. If you do not have time to start right now.

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    Hello, i am looking for someone who can make a 1x2 prediction game for me. It needs to be an responsive (wordpress?) website, no need to make an app. - 15 players in a competition - they predict games against each other (every week 1 round, total 14x2=28 rounds) - 1 cup competition between all players (7 rounds) - based on the dutch eredivisie

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    Investigation on optimization tactics for prediction of Stock Price Trends by using neural networks

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    Hi Alexander T., I am interested in timeseries prediction in python, possibly with LSTMs..its ok if you are new to python, in case you still have the time

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    Hi Ritwick C., I am interested in your help for a timeseries prediction, possibly with LSTMs. Let me know if you are available, Stefan

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    ...and built. Football App for West Ham United Chat room during live games. Live scores. Team News. Social media posts from the team - Instagram, Twitter and Facebook. Score prediction table - gather users score predictions and put them in a leaderboard. Let users select their formation and players - then gather information from user selection and use

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    I'm searching for someone that can build a model led by Machine Learning to try to predict the price evolution of 3 cryptocurrencies.

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    Hi Francesco - I saw your profile, and I think your skills might match with my task: I am looking for a model for a (relatively simple I believe) time-series prediction. I was thinking to start using LSTMs for this task, but I am also open for other ideas. Let me know if you are interested, and I can send you more details. Best regards, Stefan

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    Looking for Statistician to model in excel with formulas the following. 1) Prediction Method....Time-Dependent Poisson Regression 2) Regression Algorithm....Maximum Likelihood 3) Time Dependence......Time dumping factor Thank you

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    Hi Albab Ahmad K., I saw your profile, and I think your skills might match with my task: I am looking for a model for a (relatively simple I believe) time-series prediction. I was thinking to start using LSTMs for this task, but I am also open for other ideas. Let me know if you are interested, and I can send you more details. Best regards, Stefan

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    ...forecast from COAMPS data sources and display in a zoomable form. SCCOOS uses this publicly-available wind forecast data to create the following maps: [login to view URL] There currently exists an API to do this: [login to view URL] Using the API is optional as the raw GRIB (standard weather prediction format) files

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    ...in need of data collected that shows the overall market size and growth for millennials who are and will purchase art online. We need organized data showing the millennial market, the online art market growth over the next 10-20 years, and a prediction of how many millennials will be purchasing art online for the next 10-20 years. The data will be made

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    ...global offensive. It would be best for the hack to be external. Source engine knowledge is required, as well as knowledge with Raytracing etc. (the aimbot has to have prediction) I also require for the hack to be undetected for a very long time. The aimbot should be configurable (smoothing, aim bone, recoil control system, weapon configuration)

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    The software should be capable of predicting future statistics based on the input data. This software should be generic and reusable for all usecases. The fields should be picked up dynamically based on the imported data. For example the stock market data

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    prediction of time series internet of mobile operator time series prediction using python ( ARIMA, recurrent-neural-networks)

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    to make a ppt of traffic prediction and visualization using deep learning to represent the presentation (approx 35 slides)

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