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Data Miner

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Pros of Data Miner
Pros of TensorFlow
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    • 32
      High Performance
    • 19
      Connect Research and Production
    • 16
      Deep Flexibility
    • 12
    • 11
      True Portability
    • 6
      Easy to use
    • 5
      High level abstraction
    • 5

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    Cons of Data Miner
    Cons of TensorFlow
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      • 9
      • 6
        Hard to debug
      • 2
        Documentation not very helpful

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      - No public GitHub repository available -

      What is Data Miner?

      It is a Google Chrome extension that helps you scrape data from web pages and into a CSV file or Excel spreadsheet.

      What is TensorFlow?

      TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

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      What tools integrate with Data Miner?
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      Blog Posts

      Dec 4 2019 at 8:01PM


      What are some alternatives to Data Miner and TensorFlow?
      Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
      Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
      A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
      Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
      It is the collaboration of Apache Spark and Python. it is a Python API for Spark that lets you harness the simplicity of Python and the power of Apache Spark in order to tame Big Data.
      See all alternatives