Machine Learning Diagnostic

Do you have data challenges like multispectral images, noisy labels, or small training sets?

Are your machine learning models robust and unbiased? Are you confident that they will generalize to images from different sources?

Sometimes data challenges are easy to decipher and handle, but other times they are more subtle.

There could be an obvious distribution change causing degraded performance. But it can also be hidden or caused by multiple factors.

Gathering a large, diverse training set may be the ideal solution but is often not feasible.

What do you do?

Perhaps you have a few techniques in your toolkit like normalization to handle the obvious changes in image color or augmentation to create extra synthetic training examples.

But have you ever taken a step back to fully understand the challenges in your data and to be sure that you’re tackling each with data- and modeling-centric techniques?

Get a clear perspective on your data and modeling challenges

This diagnostic will help your team handle challenging datasets by:

  • Identifying sources of variation, batch effects, and domain shifts

  • Diagnosing other data challenges like low quality or quantity of images or labels

  • Analyzing your data- and model-centric approaches to each challenge

  • Revealing potential weaknesses in your validation strategy

Here’s how it works:

I’ll interview some of your leadership and machine learning team members, as well as relevant domain experts, to discover your overall goals, the challenges present in your training and inference data, and your current data- and model-centric solutions. With this knowledge, I’ll deliver a report with recommendations.

A follow up call two weeks after report delivery is also included to ensure that you have all the information you need to move forward.

Results you can expect from this diagnostic:

  • Save time by targeting your most critical data challenges instead of wasting time on unsuccessful approaches

  • Discover challenges early in product development so that they don’t become surprises later

  • Get your product to market faster

Ready to get started?

Are you ready to get your project on the path to success? Apply for an ML Diagnostic by filling out the form below. The price is $7,500, which could save you many thousands down the road.

100% money-back guarantee!

If you don’t have a clearer perspective on your data and modeling challenges after receiving the report, just request a refund.