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WHAT IS A DATA SCIENCE WORKBENCH AND WHY DO DATA SCIENTISTS NEED ONE?

  • Data science is inherently an exploratory and creative process because there is usually neither a definitive answer to the problem at hand nor a well-defined approach to reaching one.
  • Data scientists research problems, explore data, visualize patterns across data and use their experience and judgment to choose parameters and processes that may be relevant to the specific problem at hand.
  • This makes sharing and collaboration a critical activity that enables teams of data scientists to build on each other’s knowledge and to produce the overall best results.
  • This is where a Data Science Work Bench can be of great help.

Data science is inherently an exploratory and creative process because there is usually neither a definitive answer to the problem at hand nor a well-defined approach to reaching one. Data scientists research problems, explore data, visualize patterns across data and use their experience and judgmen

@VertiAI: What is a #DataScience workbench and why do #DataScientist need one? #AI #IoT #IIoT #ArtificialIntelligence

Data science is inherently an exploratory and creative process because there is usually neither a definitive answer to the problem at hand nor a well-defined approach to reaching one. Data scientists research problems, explore data, visualize patterns across data and use their experience and judgment to choose parameters and processes that may be relevant to the specific problem at hand. This makes sharing and collaboration a critical activity that enables teams of data scientists to build on each other’s knowledge and to produce the overall best results. This is where a Data Science Work Bench can be of great help.

WHAT IS A DATA SCIENCE WORKBENCH AND WHY DO DATA SCIENTISTS NEED ONE?