I need to implement my research framework on medical health record so I need to Digitalize the patient health record and upload the EHR(ELECT...implement my research framework on medical health record so I need to Digitalize the patient health record and upload the EHR(ELECTORNIC HEALTH RECORD) in cloud for further ML prediction and recommendation .
Flight ticket prices can be something hard to guess, today we might see a price, check out the price of the same flight tomorrow, it will be a different story. We might have often heard travelers saying that flight ticket prices are so unpredictable. As data scientists, we are gonna prove that given the right data anything can be predicted. Here you will be provided with prices of flight tickets f...
I would like to code a program in python that using NEAT algorythm. This program will work for the market prediction in forex and other stockmarket. this should work as this : [log ind for at se URL] No need to have graphical interface. can be run in terminal and should work by importing a csv file . fro more question please
...manufacture and if possible model and year detection. The model should be hosted on a flask server. It should have a simple web page allowing for an image upload and showcasing the prediction. The AI is using Google TensorFlow. Additionally, every uploaded image will be saved with a simple feedback of the uploader into the server using SQL database.
...and Detection • 6.5.1 Maximum a Posteriori Estimation • 6.5.2 Maximum Likelihood Estimation • 6.5.3 Minimum Mean Square Error Estimation 6.6 Engineering Application: Linear Prediction of Speech [log ind for at se URL] Sums and Sequences Page in the pdf file [289 – 333] 7.1 Independent and Identically Distributed Random Variables • 7.1.1 Estimating the Mean of II...
...product which are about 22. I need to run a Classification ML time series model on each product so need to select the correct columns and feed it to the ML model. Then with the prediction I need to record a few columns and save it in a master results dataframe with column names prefixed by the product name. End goal is to have a dataframe with the model predictions
I am looking for an experienced ML time-series prediction developer/data scientist to work on a project. You: - Must have a track record of successful ML time-series prediction projects. - Must have up-to-date knowledge of C++. - Must be an expert in building scale-able AI-powered algorithms in TensorFlow. - Must be an expert in debugging TensorFlow