You will get Self-supervised learning - reuse your unlabeled data
Project details
I use self-supervised learning to overcome the lack of labels, drawing on research findings in the fields of representation learning and data reuse
Machine Learning Tools
Azure Machine Learning, GitHub Copilot, Google AutoML, NumPy, NVIDIA AI Platform, OpenCV, Python, Python Scikit-Learn, PyTorch, SciPy, SQL, XGBoostWhat's included $45,000
These options are included with the project scope.
$45,000
- Delivery Time 70 days
- Number of Revisions 2
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
About Michael
AI & Machine Learning Consulting
Munich, Germany - 9:36 am local time
My focus is helping clients turn complex data into working solutions. I support projects end to end, from problem definition and data preparation to modeling, validation, and delivery of clean and reusable code.
What I can help you with:
- Geospatial machine learning using satellite and climate data
- Time series forecasting and classification
- Design and implementation of ML pipelines
- Feature engineering for spatio temporal data
- Model evaluation and benchmarking
- Prototype to production support
- Technical consulting and feasibility assessment
Steps for completing your project
After purchasing the project, send requirements so Michael can start the project.
Delivery time starts when Michael receives requirements from you.
Michael works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements and project definition
Client provides goals, data access, and domain details.
Architecture and pipeline design
I define the SSL approach, data pipeline, and model structure based on needs.