Chemical reaction optimization
Deep reinforcement learning can be employed to optimize chemical reactions. The models iteratively record the results of a chemical reaction and choose new experimental conditions to improve the reaction outcome. This is contrary to the conventional single outcome experiments. Are you ready to leverage this method?
How we achieve?
We achieve this with an ecosystem of Machine Learning tools in tandem with our proprietary algorithms. All the IT implementations happens in your native environment. So, adoption of technology is a breeze for your team
How we achieve?
We achieve this with an ecosystem of Machine Learning tools in tandem with our proprietary algorithms. All the IT implementations happens in your native environment. So, adoption of technology is a breeze for your team
Our engagement?
We engage with our customers as anunconventional accelerator for innovation and digital transformation. DataTheta implements cognitive computing environment to achieve your business goal.
Our engagement?
We engage with our customers as anunconventional accelerator for innovation and digital transformation. DataTheta implements cognitive computing environment to achieve your business goal.
Hiring machine learning engineers who help you move your project forward can prove difficult given the high market demand for machine learning expertise.Our machine learning engineers fill this talent-gap by jumping in when you need them and partnering up with your team. We accelerate your machine learning project utilizing the right set of skills, so that you do not have to compromise on the speed of the project.
Our
team of data scientists and machine learning engineers helps you capitalize on
your existing resources by bringing your team up-to-speed on the latest in
machine learning advancements, all tailored to your knowhow and specific
needs.In hands-on sessions, we review practices and techniques in the fields of
machine learning, deep learning, computer vision, and NLP, and show you how you
can take advantage of them.
Creating prototypes is an essential part of scaling robust machine learning systems as they reveal issues and opportunities prior to implementation. DataThetas' research engineers test the functionality of innovative ideas by evaluating your data and building rapid prototypes, so you can eventually move forward with your innovation