A large part of our product is training and using a machine learning model. As such, we chose one of the best coding languages, Python, for machine learning. This coding language has many packages which help build and integrate ML models. For the main portion of the machine learning, we chose PyTorch as it is one of the highest quality ML packages for Python. PyTorch allows for extreme creativity with your models while not being too complex. Also, we chose to include scikit-learn as it contains many useful functions and models which can be quickly deployed. Scikit-learn is perfect for testing models, but it does not have as much flexibility as PyTorch. We also include NumPy and Pandas as these are wonderful Python packages for data manipulation. Also for testing models and depicting data, we have chosen to use Matplotlib and seaborn, a package which creates very good looking plots. Matplotlib is the standard for displaying data in Python and ML. Whereas, seaborn is a package built on top of Matplotlib which creates very visually pleasing plots.
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What is PredictionIO?
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PredictionIO is an open source Machine Learning Server. It empowers programmers and data engineers to build smart applications. Machine Learning is about attempting to teach computers to predict future, or otherwise unknown events, by applying computer science or statistics techniques to analyze existing data. It can be seen as a transformation from existing data to improve insights about the unknown. PredictionIO is useful for any web and mobile apps. Here are some examples of smart features you can build with PredictionIO: predict user behaviors; offer personalized video, news, deals, ads and job openings; help users to discover interesting events, documents, apps and restaurants; provide impressive match-making services, etc.