MICROSOFT AZURE MACHINE LEARNING STUDIO IN REAL WORLD
- Slides: 15
MICROSOFT AZURE MACHINE LEARNING STUDIO IN REAL WORLD SPORTS Global Azure Bootcamp Zagreb, Croatia 20180421
About us Darko Katović Kineziološki Fakultet KIF Miljenko Cvjetko - moljac Microsoft (Xamarin Inc. )
Intro – Motivation - Professional ________ (fill in some hype word here) Options (Machine Learning, Data Science, Deep Learning, …) Darko __________ does for living (teaching) moljac Works for Xamarin (Microsoft) on tools for apps, so logically writing apps makes him happy Xamarin does tools for Mobile apps w/o backend are toys
Intro – Motivation - Personal
Intro – What is ______? Data Science Data wrangling (munging), retrieval + storage Statistics Big Data Machine Learning Deep Learning Soft Computing Fuzzy Data mining & machine learning Big data Genetic Data Wrangling/Munging Data Storage Data Manipulation Statistics
Intro – What is ______? Detailed Machine Learning == Data Mining ? ? Data Acquisition Data Analysis (exploration) Pattern / Rule finding Modelling – Model building Predictions / Decisions
Intro – How? Business Problem Business problem Sales must reach == qualify for Olympics Data Solutions - optimizations Data Sports – amount of data sufficient ? ? ? Models (read Math) Models Complex (high number of parameters) Non linear
Intro – How? Detailed PROCESS Business Problem Goal: Win, Olympics Optimizations (minimal energy or time) Optimizations (no injuries, least effort / cost, ASAP, Data Collect data (activities, tests, competition) Models (Math) Complex high number of parameters) Non linear Data: Activities, Tests, Competition Models (Math) Complex Fitness (Physiology), Motorics, Psychological y = ax + b
Data Analysis and Modelling - Model Definition Data Collect Exact (if possible) Train Store Validate (score) Analyze Use it – Explore or Deploy Extend/Update it
Demo – Regression. Linear. Weight. Control
Demo - Correlation. Basketball Machine Learning Studio help in real world applications
Demo Machine Learning Studio help in real world applications
Where are we? Data In development – application suite (xplat horizontally and vertically) Io. T Mobile Desktop Server (ASP. net Core) Collecting (from web and with the apps) Models, Modelling Testing, playing
Outro Machine Learning Studio help in real world applications
Q&A Shoot
- Azure machine learning studio
- Azure machine learning workbench
- Azure databricks automl
- New commerce experience
- Azure data studio dark mode
- Azure data studio vs ssms
- Microsoft sql server machine learning services
- Xna game studio express
- Xbox xna
- How to apply polynomials in real life
- Concept learning task in machine learning
- Analytical learning in machine learning
- Pac learning model in machine learning
- Pac learning model in machine learning
- Inductive vs analytical learning
- Inductive and analytical learning