AL29- Azure Lab - Find the best classification model with Automated Machine Learning

@ suan 636 g st At x | Il Comtent x = I8 T 0 X | Coue Homepage-SUANE. | A miedo100 b -Miconlt X A Anue Al Machine Lowning X | b i € > C (& hupsy hobio/msle: instructons/02- achineles. @ ' % O @ € 5 © @ nups//mlszurecom id=84281d1d-Sedd-4of7-b16e-032415deSiEcRwsid=/subscriptions/63.. & % M O @ ¢ et 8. AmszoncomShop.. [ UTD () Colege e G Socenfacobo. & Scam o S | 0 Atbockmats | 2 Clirdac 8. hnsmcomShop [} UTD (D) Coleg A Sf Sucomiucto o St S > - o Container ragistry: None (ane il be created automatcalythefst - N setore time you deploy @ mode to container) £ O 0 i | medpoiiy yousan 3. Wit fo the workspace an is associated resources tobe creted - this = typically takes around 5 minutes. < mlw-dp100-labs ~ | | e o | EEEE = oo e ctons st s hough s vt et sty cstom i | | | | [ Ky for dat encypion We won't us thse options nthis execcise - bt you Generative Al with Prompt flow =~ snoukd b avareofthem Exlore e | Aaure ] Machine wnng Explore the Azure Machine Learning studio % aE g - | | by P! 9 : - - Aaure Machine Learning studio i a web-based portal though which you can = finer® access the Azure Machine Learing workspace. You can use the Azure Machine | N B b ppeine Learning studio to manage ol assets and resources withinyour workspace. QA with Your Own Data Using Biing Your Own Data QA Ak Wikipedia Crestes 1,60 tothe resource group named rg-dp100-labs g domsn koo fow b Q8 it 9135, i i G735 i st compue il S =l - e s o QA TS S0 | i o sty s e e onfirm tht the resoutce group contains your Azure Machine Learning e e e e o e workspace, an Application Insights a Key Vault and a Storage Accourt 2 S e o e fun your 3. Selectyour Azure Machine Learning workspace. N san | cone = sun | clone ) 4 elect Launch studio from the Overview page. Another tab will open in L o yourbrowser to open the Azure Machine Learing studio. ¥ . . Close any pop-ups that appearin the studic . | Generative Al models Viewst < > ovew 6 Note th diferent pages shown on th lft side of the stuio. f only the 3 your = > il symbols ae visol in the menu, selct the = icon to expand the men and ® FRTTETITIE ) | (T, ol oot explore the names of the pages. ® R o . Detee 7. Note the Authoring section, which incudes Notebooks, Automated ML Lol and Designer.These are the three ways you can crste your oun machine : Tearning models within the Azure Machine Learing stuo. Notebook samples Vewast < 3 8. Notethe Assets section, which includes Data, Job, and Models smong 2 ol = el o ol 9 Get startet T an deploy Index and sesech your own Distibuted GPU raiing g il e s i ki Bl 6 T AR I B § == § T S © Microsofteaming/msleam-azure-mi | ¢ o - Gl 9 searen ' | O EE rm -r azure-ml-labs -f git clone https://github.com/MicrosoftLearning/mslearn-azure-ml.gi cd azure-ml-labs/Labs/@6 ./setup.sh pip uninstall azure-ai-ml pip install azure-ai-ml