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.
Machine Learning is essentially about building software systems that learn from data. This course is intended to provide a grounding in the theory surrounding machine learning, including the larger discipline of Artificial Intelligence.
The term is becoming commonplace in organisations in every sector and now you can qualify your understanding of machine learning in this bitesize course:
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.
Software developers and software engineers with a basic knowledge of Python. Data Scientists, Data analysts and Business Intelligence professionals who are new to Python. Developers, engineers, researchers and analysts who want to start learning about Artificial Intelligence and related concepts.
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.
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