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Services/Data science & AI/Machine learning implementation

DATA SCIENCE & AI

Machine learning implementation

Develop a model you can evaluate before relying on it.

Build and validate predictive models around agreed data, baselines and performance measures. Nexus8 plans deployment and monitoring alongside model development.

Discuss this serviceCall Nexus8
Conceptual illustration for Machine learning implementation

THE BUSINESS CHALLENGE

Develop a model you can evaluate before relying on it.

Model accuracy alone does not explain business usefulness. Evaluation also needs to consider errors, false positives, changing inputs and the action taken from the prediction.

WHAT THE SERVICE CAN COVER

01

Data preparation

Review permitted data, quality and leakage risks. Create representative training and evaluation datasets.

02

Baseline & model development

Compare suitable methods against a baseline and agreed acceptance measures. Document feature and parameter choices.

03

Business validation

Evaluate representative cases and important error types with stakeholders. Define where human review is required.

04

Deployment & monitoring

Integrate the model into the approved workflow and establish monitoring, versioning and retraining criteria.

Deliverables you can review

  • Prepared datasets and documented features
  • Baseline and model evaluation results
  • Business validation and limitations report
  • Deployment and monitoring plan

The final proposal specifies included outputs, dependencies, timeline and acceptance criteria for your engagement.

BUYER QUESTIONS

Before you decide.

Can you guarantee a model accuracy percentage?

No meaningful guarantee can be made before data and evaluation criteria are understood. We define and report measured performance, limitations and deployment criteria for the specific use case.

How is the cost and timeline determined?

We assess the systems, deliverables, dependencies and required delivery model. A commercial proposal follows the agreed scope; a fixed price or deadline should not be assumed from the service description alone.

What happens after I submit a requirement?

Nexus8 can review the details and contact you to clarify the requirement. Any further assessment, access, commercial agreement or project start is agreed separately.

LET’S TALK ABOUT THE SCOPE

Machine learning implementation for your business.

Prediction goal, dataset availability, historical examples, acceptable error types and deployment context.

Prefer a direct conversation?

+91 8237963451nikhil.b@nexus8techlabs.com

PROJECT REQUIREMENT

Request a project discussion

Share the business need and the current system. We can then discuss scope, feasibility and next steps.

For job applications, please use the separate career form. Avoid passwords and confidential system data.

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