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Learn MorePros of Data Miner
Pros of TensorFlow
Pros of Data Miner
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Pros of TensorFlow
- High Performance32
- Connect Research and Production19
- Deep Flexibility16
- Auto-Differentiation12
- True Portability11
- Easy to use6
- High level abstraction5
- Powerful5
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Cons of Data Miner
Cons of TensorFlow
Cons of Data Miner
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Cons of TensorFlow
- Hard9
- Hard to debug6
- Documentation not very helpful2
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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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Jobs that mention Data Miner and TensorFlow as a desired skillset
What companies use Data Miner?
What companies use TensorFlow?
What companies use Data Miner?
What companies use TensorFlow?
See which teams inside your own company are using Data Miner or TensorFlow.
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What tools integrate with Data Miner?
What tools integrate with TensorFlow?
What tools integrate with TensorFlow?
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What are some alternatives to Data Miner and TensorFlow?
Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
NumPy
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.
Anaconda
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.
SciPy
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.
PySpark
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.