What you will learn
Get introduced to the concepts of AI, ML & Model Building
Understand the steps required to build your first model
Look at how Subex HyperSense’s AI Studio works
AI Studio configuration demo using use cases
Description
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 basic concepts of data science elements. It also covers various points such as exploratory data analysis, which help in understanding the data better and helps asking the right questions before building a model. Then, the course will brief you on the data science workflow, covering all the important steps involved in this workflow. Starting from Data Preparation to Model evaluation.
Finally, there are use cases shared via walk-throughs, which shows how AI Studio can be used to manage data, build models and deploy models in minutes.
Content