Doing Machine Learning with Azure ML Studio - Philippine

 

Event
Azure Partner Practice Enablement: Azure Machine Learning
Speech URL
www.rateevent.com/speeches/SCAAA423    
Type
Technical
Date
March 21, 2018
Fee
Venue
Microsoft - Philippinr
Country
Philippines
More Info
no link found

This is a two-day PPE workshop organized by Microsoft. This focuses on Azure Machine Learning along with Machine Learning concepts, supervised and unsupervised models, demonstration and hands-on with regression, classification and clustering techniques.

Dinesh Priyankara


Current Rate 4.5

Based on 20 ratings.


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Katrina Camille Gozun December 23, 2018

Very helpful! Explained basic math, statistics, and ML theories and at the same time had very good hands-on exercises.

Jamal Nadi Dayanghirang December 23, 2018

The presenter has delivered the objectives of this training. However I feel that a few more real word / business samples or scenarios during the hands-on would make me understand more about machine learning and how I can apply this to other business scenarios.

Umidu Silva December 23, 2018

The training was good. Was able to understand everything from the beginning even though I had little knowledge about ML.

Maribeth Sarmiento December 23, 2018

Well explained. He goes back to the topic if there are questions and uncleared to the who asked. He make sure that it is understood well... Very lively discussion and topic is interesting

Dinesh Priyankara April 03, 2018

Thanks for the lovely and great comments everyone. And I appreciate points mentioned for improvements. Regarding hands-on, I have to stick to the labs given by Microsoft, will send feedback to Microsoft on that, asking more realistic hands-on.

Jamal Nadi Dayanghirang March 31, 2018

The presenter has delivered the objectives of this training. However I feel that a few more real word / business samples or scenarios during the hands-on would make me understand more about machine learning and how I can apply this to other business scenarios.

Katrina Camille Gozun March 31, 2018

Very helpful! Explained basic math, statistics, and ML theories and at the same time had very good hands-on exercises.

Umidu Silva March 31, 2018

The training was good. Was able to understand everything from the beginning even though I had little knowledge about ML.

Maribeth Sarmiento March 31, 2018

Well explained. He goes back to the topic if there are questions and uncleared to the who asked. He make sure that it is understood well... Very lively discussion and topic is interesting

Jillian Charlene Dicen March 21, 2018

Coming from a Statistics and a little Data Science background, I really appreciate how you explain basic statistical concepts. I also like how you use your separate slides with all the visuals to explain the concepts instead of using the text heavy slides of Microsoft. Great job and I love learning from you! Thanks Dinesh.

Jaime Olivares March 21, 2018

I found the introduction to Machine Learning helpful in understanding it. The exercises helped show the features of ML Studio vs. normal programming. Maybe it would be helpful to have some discussion on the Machine Learning algorithms available to a user in ML Studio, and maybe a quick background as to how Microsoft builds/selects these algorithms.

Kristoffer Alexei Cruz March 21, 2018

Provides a clear concept on Machine Learning. Need to provide more example and hands-on activity.

Katrina Luisa Mutuc March 21, 2018

Very knowledgeable of the topic and provides clear walkthrough of how to navigate the AML studio.

Maria Celina Reyes March 21, 2018

Maybe you can also incorporate how the outputs are interpreted, if it is possible.

Jonathan Alvin Co March 21, 2018

Clear explanations, good examples. Doing labs in projector very helpful.

Miko Adao March 21, 2018

Clear presentation and explanation of each topics

John Romeo Alvarez March 21, 2018

Got the better understanding on Azure ML but i need to further study Data Science for me to get familiarize with the terms.

Cris Gironella March 21, 2018

Mastery of the subject with relatable examples - very good! Explanation of core concepts for non-data scientists - great!