You will get a machine learning model trained, evaluated and deployed for you
Project details
The hard part of machine learning is not training a model. It is knowing whether the model is any good, and being honest about it.
I hold an Oxford DPhil in AI and have spent over 15 years building machine learning systems that had to survive contact with real data at Mars, EY, Croner-i and Nestle.
How I work:
• A simple baseline first, so we know what the fancy model has to beat
• Evaluation on data the model has never seen, never on the training set
• Careful checks for leakage and overfitting, the two things that make a model look brilliant in a notebook and useless in production
• Real numbers reported, including the cases where it fails
What you get: the trained model, the evaluation results, the code, and on the top tier a deployed API with monitoring and retraining notes.
Worth saying plainly: not every problem needs machine learning, and some datasets are too small or too noisy to support a useful model. If yours is one of those, I will tell you before you buy and suggest what would actually help instead.
I hold an Oxford DPhil in AI and have spent over 15 years building machine learning systems that had to survive contact with real data at Mars, EY, Croner-i and Nestle.
How I work:
• A simple baseline first, so we know what the fancy model has to beat
• Evaluation on data the model has never seen, never on the training set
• Careful checks for leakage and overfitting, the two things that make a model look brilliant in a notebook and useless in production
• Real numbers reported, including the cases where it fails
What you get: the trained model, the evaluation results, the code, and on the top tier a deployed API with monitoring and retraining notes.
Worth saying plainly: not every problem needs machine learning, and some datasets are too small or too noisy to support a useful model. If yours is one of those, I will tell you before you buy and suggest what would actually help instead.
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, BERT, Python, PyTorch, scikit-learn, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$600
|
Standard
$1,600
|
Advanced
$3,800
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 25 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - |
About Jude
Machine Learning Expert | Data Visualization & Automation | Oxford PhD
London, United Kingdom - 8:25 am local time
Steps for completing your project
After purchasing the project, send requirements so Jude can start the project.
Delivery time starts when Jude receives requirements from you.
Jude works on your project following the steps below.
Revisions may occur after the delivery date.
Frame the problem and build a baseline
I turn your business question into a modelling problem, split the data honestly, and build a simple baseline first. That number is what everything else has to beat.
Build features, train and tune
I engineer features, try the model families that suit your data, and tune them. I watch for leakage and overfitting rather than chasing a training score that will not survive real data.