Rapid digitization is changing the data landscape across industries. It has led to a massive explosion of data volumes. To derive meaningful insights from data, many enterprises have accelerated AI adoption across their businesses. Data Science is applicable across all business verticals and the use cases are only increasing.
Subex’s HyperSense AI Studio is a no-code data science environment with AI automation capabilities to build and manage AI models.
HyperSense AI Studio enables any user to build and operationalize AI successfully using automated machine learning. While the no code capability helps citizen data scientists to build their models easily, it also increases the efficiency of data scientists allowing them to focus on higher-value tasks. It automates every step of the data science lifecycle including, feature engineering, algorithm selection, and hyper-parameter tuning.
This course is designed to help learners understand the advanced concepts of data science models. This course introduces you to common machine learning techniques which will help you to build robust ML models. This course takes you into the details of various algorithms and explains the working of the same so that you are better prepared to use the right models.
Finally, there is a use case shared via a walk-through, which shows how AI Studio can be used to build complex models in a simple and efficient way.
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The HyperSense Product Line Management team at Subex has a team of industry experts with led by Zabi Ulla who has 16+ years of experience with a data science background. The team is responsible to create products that help everyone in the world of data science. They are responsible for the development of AI Studio which enable learners and users to become citizen data scientists. This course on AIS is an attempt to have users deep dive into the world of data science using Subex's HyperSense AI Studio
