Machine Learning Modeling: 1-wk Proof of Concept

Data Science Dojo

We will build you a predictive machine learning model proof of concept using your data.

Who is this offer for?

If you are new to the machine learning and artificial intelligence space, we understand the hesitancy of heavily investing in machine learning when you aren't sure of the possible results. For that reason, we will build you a working Proof of Concept (POC) machine learning prediction model using your data. This will reduce the initial investment and give you a preview of the potential benefits without the risk.

What does the offer deliver?

At the end of the POC process we will deliver a presentation and provide a working machine learning prediction model in Azure ML Studio. We will migrate the model into your environment, set it up and test it to ensure it's working. We will also provide a week of hands-on support for your staff.

How does the Proof of Concept process work?

  1. We have a discovery meeting where we gather your requirements, objections and goals.
  2. You then provide us with the desired dataset and your desired prediction target(s).
  3. Then we research your problem and develop your solution.
  4. Next we build a machine learning model proof of concept.
  5. Through testing and iteration we will validate the model and collect performance statistics.
  6. Once the model is trained we will prepare a presentation where we explain the model, the model's performance, and give suggestions for moving forward.
  7. Potential next steps include ongoing support, full-scale production implementation, and training for your staff.

Data Science Dojo is data science training company that specializes in applied artificial intelligence and machine learning. Contact us with with any questions.

https://store-images.s-microsoft.com/image/apps.47170.5c037347-84f0-40ae-8576-b97c83a49037.312626ec-fd46-4f46-9031-eb045f110fbd.a9189268-3dc9-49ac-ae55-495e2cc88129
https://store-images.s-microsoft.com/image/apps.47170.5c037347-84f0-40ae-8576-b97c83a49037.312626ec-fd46-4f46-9031-eb045f110fbd.a9189268-3dc9-49ac-ae55-495e2cc88129