Power BI for Data Science and Machine Learning - Data Science Portugal meetup

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Session recording at https://youtu.be/gm5nohV30fE Abstract: Power BI is a widely successful tool for Business Intelligence projects, but there’s lots of value for Data Scientists too. This session will explore how to leverage Power BI for Data Science & Machine Learning workloads. From powerful & effortless EDA, built-in anomaly detection to R & Python integration, and even AutoML capabilities, we’ll see how these and other features can contribute to better AI project productivity and outcomes. Can Power BI be a superpower for Data Scientists? We’ll find out!

Tecnología

(Watch this session recording at https://youtu.be/gm5nohV30fE )

Twitter @rquintino
Medium /devscope-ai
Github /DevScope/ai-lab

https://www.sns.gov.pt/profissional/recursos-humanos-da-saude/informacao-rh/analise-mensal-do-balanco-social/

Visual & Code Data Prep / Intellisense / Profiling / ...

Powerful Analytical Engine for Metric Modelling

Filtering / Cross Filtering / ToolTips / Drill down/up / ...

Power BI Desktop – Free, Offline, Feature Rich

Big fans of Python StreamLit... (credits to Luís Costa ☺)

but... Business Reports/Dashboards with
Shiny, Python, StreamLit, just don’t!

https://en.wikipedia.org/wiki/Cross-industry_standard_process_for_data_mining

22
Delivering/Presenting DS/ML Outputs/Insights

Eval performance & behaviors for different models

Awesome for ML Competitions ( I kid you not! ☺)

Leaderboards (ex: submission evaluation/validation)

27
Machine Learning Governance (msft CGA team Cloud+AI)

Use natural language for quick questions & visuals

Powerfull & Easily configurabe Drill Through Scenarios

Root causes (explain the increase/decrease)

Anomaly Detection and Root Cause Analysis

Quick glimpse/preview of Key predictors/”influencers”

Easy Refactoring, renames, measure formats,...

Semantic Models based Auto ML (cloud/premium feature)

rui.quintino@devscope.net
Linkedin.com/ in/rquintino
Twitter @rquintino
Medium /devscope-ai
Github /DevScope/ai-lab

Example: Natural Language Processing steps

Access to AI APIs (Azure Cognitive Services)

Vision/Text AI APIs from Power BI (tagging, sentiment,...)

Run & Deploy Auto ML models in Azure Auto ML...

... And using directly in Power BI/Power Query

https://towardsdatascience.com/the-data-science-landscape-f6f7842c9865

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