At Entropy Reduction, we are dedicated to providing expert consultation and guidance for harnessing the power of modern machine learning and AI. Our goal is to help you seamlessly integrate these cutting-edge technologies into your business or research endeavors. From crafting an AI roadmap and developing an effective strategy, to delivering custom data analysis and modeling solutions, we have the skills and experience to drive your success.
We work with businesses, research labs, and individuals as well as other consulting firms, to bring our extensive knowledge and experience in specific domains and AI methods to your unique needs. Let us help you stay ahead of the curve and lead the way into the exciting future of AI.
Areas of expertise
At Entropy Reduction, we understand that a combination of technical proficiency and expert domain knowledge is essential for achieving success with the application of machine learning and AI in real-world scenarios. Our team possesses both of these vital elements, enabling us to build models that make accurate predictions and analyze data to uncover valuable insights.
Our expertise spans a diverse range of domains and industry sectors, allowing us to speak your language and find the perfect fit between modern machine learning techniques and your specific data and business needs. Some of the areas in which we have extensive experience include:
We are also interested in exploring the following areas:
- Health and personalised medicine
- Marine biology
- Cosmology and astronomy
AI and machine learning methods
While the relevant domain knowledge allows us to understand your needs, our expertise in machine learning methodology gives us the tools to formulate the task in the language of AI and pick an appropriate model and training process to deliver a successful predictive model or insightful data analysis outcomes.
Some of the areas of machine learning we specialise in include:
- General purpose deep learning
- Artificial neural networks for image or tabular data
- Recurrent neural networks for process modelling, anomaly detection and time series analysis
- Transformers for text and other sequential data
- Statistical analysis
- Classical machine learning
- Data visualisation and interactive presentation
- Dimensionality reduction
- Anomaly detection
- Graph networks, also convolutional graph networks
- Business process mining