Dealing with Machine Learning models, big data, and deploying deep learning models is a crucial challenge in today's ecosystem. Our pipeline completely automates it, so that you can always have the best model trained on the latest data right when you need it.
DurationDealing with Machine Learning models, big data, and deploying deep learning models is a crucial challenge in today's ecosystem. Our pipeline completely automates it, so that you can always have the best model trained on the latest data right when you need it.
Wherever your workforce interacts with your existing interfaces and data, the Wluper platform helps them be more efficient and productive by leveraging unique voice-based Conversational AI technology.
In this course, you will learn how to develop ML (Machine Learning) models to resolve business issues with the help of Google Cloud technologies which are widely used to design ML models.
The course is aimed at delegates with a Mathematical and/or Data Science/ML background. Good programming knowledge, especially using the Python programming language. Some experience and familiarity with the Pandas, Numpy and MatPlotLib python libraries for data analysis.
AWS Certified Machine Learning – The specialist course is designed for IT professionals who are working on the development of Data Science roles.
Machine learning is one of the most exciting and dynamic fields in the world of data science. Everything from smartphones to autonomous cars, improved healthcare and climate prediction are built on these powerful set of tools for generating useful predictions from data.
You will learn how to get your data ready to begin creating Neural Network Models to classify natural text, images and learn to solve regression problems. We'll talk about the ethics of AI too, as this is an area often overlooked.
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