Machine Learning Modeling: 2-Hour Assessment

Data Science Dojo

Let us evaluate your environment to determine if machine learning can help you and estimate the cost and timeline of its implementation.

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 meet with you and talk about your options. This 2-hour assessment is completely free of charge and a risk free way to explore machine learning.

What does the offer deliver?

In our discovery call we will discuss your business goals and problems as it relates to machine learning. After the call we will take a few days to research your problem and come back to you with a proposed solution on how to leverage the power of Azure to solve your machine learning problem. We'll tell you about other similar use cases and show you the results of our research. We'll then present a development and implementation roadmap that describes the actions, timeline and estimated cost of implementing a proposed solution. At this point you will be under no obligation and can use the information in whatever way you choose, but we will also be available for a proof of concept or a full scale implementation. If we don't think we can help you, we will give you our best advice and point you in the right direction of someone who can.

How does the process work?

  1. We have a discovery meeting where we gather your requirements, objections and goals.
  2. You then provide us with the desired data source, your desired prediction target(s) and access to your development environment.
  3. We research your problem and develop a plan to solve your problem.
  4. We'll then set up a time to present our findings.
  5. After the presentation there will be lots of options to explore and we can help you navigate Azure and the AI landscape.

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

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