Qlik AutoML - What you should know

Video Statistics and Information

Video
Captions Word Cloud
Reddit Comments
Captions
hey guys this is Mike tarala with click and in this video I will answer some basic questions about click's new Automated machine learning capability click automl this video should help you identify if click automl is the right tool for you as well as guide you to the appropriate prerequisite self-help resources that should be viewed before using click automl let's get started who should watch this video thank you if you are a business analyst or analytical developer and you have access to data in the click Cloud platform and are ready to explore the possibilities of Predictive Analytics using click automl then this video is for you what is Click automl click automl is part of a full Suite of augmented analytics capabilities available in Click Cloud that recognizes patterns and drivers in historical data to create machine learning models that can predict future outcomes using a simple no code approach for business analysts and analytics teams what does click automl do click automl generates machine learning models from historical data which can be used to make predictions on current data with full explainability and you can further explore these Predictive Analytics and get real-time calculations in qlik sense apps by making interactive selections and testing what-if scenarios with our Advanced analytics capabilities what problems does click automl solve the following are three types of problems along with examples that click automl can solve binary classification multi-classification and regression binary classification problems require a given data Target to be classified in two categories if the prediction type is binary it will contain information such as yes or no or success or failure Etc for example will a customer cancel their membership multi-classification problems require the target to be classified in more than two categories for example in order to answer a question will a patient be readmitted possible answers can be no within 30 days after 30 days Etc regression problems require the prediction type to be numerical where the output is a real value for example what is the expected lifetime value for a given customer how do I start using click automl click automl is available in Click Cloud as part of every Enterprise SAS subscription with unlimited experimentation and included deployment capacity where should I go before using click automl it is very important that all users no matter what their skill level start with our four free click continuous classroom learning modules on click automl links will be made available in the description where this video is posted these include what is Click automl exploratory data analysis model scoring basics and prediction influencers more courses are in development and will be available soon what else should I keep in mind machine learning and Predictive Analytics go beyond traditional data analytics and it's important to remember that click automl should be used to solve the right types of business problems and require specific ingredients for architecting a machine learning ready data set it is important that your data includes event triggers targets features and prediction points these are explained in further detail in the click continuous classroom learning module what is Click automl once you have generated Predictive Analytics they can be easily loaded into qlik sense to create predictive applications you can also use our Advanced analytics connectors to get real-time calculations to support interactive exploration and what-if scenarios thank you for taking the time to view this video please also view the click help YouTube channel for additional click automl how to type videos take care [Music] thank you
Info
Channel: Qlik
Views: 7,291
Rating: undefined out of 5
Keywords:
Id: 4TCGyiWfqT4
Channel Id: undefined
Length: 4min 32sec (272 seconds)
Published: Tue Aug 23 2022
Related Videos
Note
Please note that this website is currently a work in progress! Lots of interesting data and statistics to come.