big data solutions

Big Data Solutions & Machine Learning

Did it happen to you that when someone mentions big data, you think ”I want to do it too! But I need to get a cluster, maybe even a Hadoop cluster, I need to hire a Data scientist but wait a year before getting results”. That sounds like a big investment and you are not even sure it will pay out. You might not know where to start.

EZNumeric can help you to setup and execute a big data trial/proof of concept/feasibility study to solve your problem using your data.

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Has it ever happen to you that someone mentions big data, you think: ”I want to do it too! But I need to get a cluster, maybe even a Hadoop cluster, I need to hire a Data scientist but wait a year before getting results”. That sounds like a big investment and you are not even sure it will pay out. You might not know where to start. Do I boost my marketing with big data technology, do I want to know about my customers? Do I want to automate a process? Choose the optimal set of parameters? Base business decisions on your data. Wanting to make use of the big data in your business and don’t know where to start?

EZNumeric can help you to setup and execute a big data trial/proof of concept/feasibility study to solve your problem using your data. Using a 5 steps approach of the big data framework, Big Data will be demystified for your business:


Data points from 2 classes and the decision boundary made by support vector machines (SVM) algorithm
  1. Identify area of improvement, a business need, a question
  2. Assess needed input data
  3. Find a storage solution of the data
  4. Chose appropriate analytics software
  5. Visualize/report the outcome

Areas of expertise

  • Machine Learning
    • Neural networks, Deep Learning
    • Regression (linear, logistic)
    • Support vector machines (SVM)
  • Dimensionality reduction / model order reduction
  • Distributed learning: in-house Parallel Neural Network

Programming languages

  • Python
  • R
  • Matlab/Octave
  • C/C++

More Information

| Workshop “Big Data – think big”