14 April 2023 Qlik AutoML Models Share this message Every Friday at Bitmetric we’re posting a new Qlik certification practice question to our LinkedIn company page. Last Friday we asked the following Qlik Data Architect certification practice question about Qlik AutoML models. Judging by the amount of answers the AutoML function might not be so popular or well known yet, however: The correct answer is D Qlik AutoML Qlik AutoML is a Qlik Sense SaaS specific capability which let you harness the power of machine learning on your datasets. It is a simple, no-code interface which you can use without (much) specific machine learning knowledge. Currently Qlik offers three different models to use as basis for your predictions. Regression A regression model makes predictions on numbers in the future. Related questions which can be answered by this are: What is the expected revenue in Q2? How long will a patient be in the hospital? How many pieces of an article will be sold? Binary Classification The binary classification will give answers to yes or no questions. For example: Will my inventory run out? Will this customer churn? Does this car need preventative maintenance? Will this project be on budget? Multi Classification The multi classification answers questions where multiple outcomes are possible. Questions related to this model are: Which insurance plan is most fitting for this customer? Which inventory groups are most likely to be sold the most? Which product will a consumer buy? How to use AutoML? In order to properly use Qlik AutoML there are a few requisites you will need. First of, it is only available on Qlik Sense SaaS. If you have Qlik Sense SaaS available you will need to create two datasets. One training dataset and an apply dataset. Training Data The training dataset contains the old data in which your answer already has been answered. For example; if we would like to determine which insurance plan we need for a customer, we will need a dataset of customers and their chosen insurance plans. Next to this you will need to add relevant information to feed the AutoML algorithm with. So in this case: the insurance type, the cost of the insurance, the income of the customer, the value related to the insurance, etc, etc. Apply Data Next Qlik AutoML uses this training dataset to base it’s algorithm on. By determining the target it will know how to evaluate all the other fields and use these to base it’s predictions on. Now you will use this model on your current (production) dataset, which we call apply dataset. Based on the information in the model Qlik will now generate predictions based on the target column chosen. As we have learned this can be a fixed number (regression), a yes or no answer (binary) or multiple answers (multi class). Things to keep in mind Limitations on the datasize based on your subscription model. As of writing the included-tier has a 100k cell limit. Data quality. Machine learning is a powerfull tool, but not infallible. A proper training dataset without clutter or NULL values is needed. That’s it for this week. See you next Friday? Take your Qlik skills to the next level! If you enjoy Qlik, you’ll love the Masters Summit for Qlik. 3 days of Qlik deep dives, peer networking, ready to use resources and much more! See you there! Test your Qlik knowledge! Check out the Friday Qlik Test Prep archive for more Qlik questions and answers. Friday Qlik Test Prep Machine Learning Solution How can we help? Feel free to contact us if you have any comments or questions. Call us Mail us 21 September 2023 Qlik Sense Enterprise for Windows – Critical Security Fix #2 A new security issue in Qlik Sense Enterprise for Windows has been identified. This resolves an incomplete fix for the vulnerability that was reported earlier this month. Patches are available and it is recommended to update your Qlik Sense Enterprise for Windows environment at the earliest possibility. New Release Qlik Security 6 September 2023 Battle Ships & Big Data: join us for some fun! Unleash the Power of Data in the Ultimate Battle Ship Game! Join us at the Big Data Expo for a thrilling experience that blends strategy, competition, and analytics. Discover how data influences gameplay and be part of our research! Plus, dive into the world of data and analytics with the experts from Bitmetric. Don’t miss out! See you at booth 46! Bitmetric Event Qlik Team 29 August 2023 Qlik Sense Enterprise for Windows – Critical Security Fixes Two security issues in Qlik Sense Enterprise for Windows have been identified and patches made available. Details can be found in Security Bulletin Critical Security fixes for Qlik Sense Enterprise for Windows (CVE-2023-41266, CVE-2023-41265). New Release Qlik Security
21 September 2023 Qlik Sense Enterprise for Windows – Critical Security Fix #2 A new security issue in Qlik Sense Enterprise for Windows has been identified. This resolves an incomplete fix for the vulnerability that was reported earlier this month. Patches are available and it is recommended to update your Qlik Sense Enterprise for Windows environment at the earliest possibility. New Release Qlik Security
6 September 2023 Battle Ships & Big Data: join us for some fun! Unleash the Power of Data in the Ultimate Battle Ship Game! Join us at the Big Data Expo for a thrilling experience that blends strategy, competition, and analytics. Discover how data influences gameplay and be part of our research! Plus, dive into the world of data and analytics with the experts from Bitmetric. Don’t miss out! See you at booth 46! Bitmetric Event Qlik Team
29 August 2023 Qlik Sense Enterprise for Windows – Critical Security Fixes Two security issues in Qlik Sense Enterprise for Windows have been identified and patches made available. Details can be found in Security Bulletin Critical Security fixes for Qlik Sense Enterprise for Windows (CVE-2023-41266, CVE-2023-41265). New Release Qlik Security