Skip to main content

Developers Conference 2017 - Introduction to Data Science

The third edition of the developers conference of Mauritius was held between the 30th of March and 1st of April 2017. The conference ran on 3 days with 3 tracks in parallel and had about 330+ attendees and 50+ speakers.

Data Science is definitely one of my favorite topics these days. I'ts amazing how data can be crafted and transformed to help us make better decisions by using predictive analytics. This year, I really wanted to deliver a level 300/400 session about Machine Learning. But, to do so, I needed to make a good introduction to the subject first. Therefore, with the help of Arwin, my friend from the MSP community, we worked together for 2 weeks to prepare a session about the introduction to Data Science.



Arwin was a bit tensed since it was his first time to the summit. However, after some coffee and preparation, he managed to complete his part of the session brilliantly!

Arwin getting ready for his session while being criticized by some crazy attendee

Arwin started the presentation by describing the Data Science process before explaining to the major types of algorithms that can be used for Machine Learning. I then took over the session to explain the basics of Azure Machine Learning and made a demo of how to create and deploy a basic Azure Machine Learning Model.

There were about 40+ attendees and we were more than happy to answer the questions that came up during the session which made it very interactive. The questions were mostly related to the algorithms available in the Azure ML Studio and the overall cost of creating and deploying an experiment.

To answer the questions I opened the Azure Machine Learning Cheat Sheet which shows all the algorithms, in what scenarios to use each of the and what the the pros/cons of each algorithm.




Below is the Power Point that was used during the session


Refer to  resources below to learn more about Azure Machine Learning:

Comments

Popular posts from this blog

Creating and Querying Microsoft Azure DocumentDB

DocumentDB is the latest storage option added to Microsoft Azure.
It is a no-sql storage service that stores JSON documents natively and provides indexing capabilities along with other interesting features.

This article is available available on theMicrosoft Technet Wiki. This article was highlighted in theTop Contributor awardson the 12th of October 2014. This article was highlighted in the TNWiki Article Spotlight. This article was highlighted in the The Microsoft TechNet Guru Awards! (October 2014).


DocumentDB is the latest storage option added to Microsoft Azure.
It is a no-sql storage service that stores JSON documents natively and provides indexing capabilities along with other interesting features.
This wiki shall introduce you to this new service.

Setting up a Microsoft Azure DocumentDBGo to the new Microsoft Azure Portal. https://portal.azure.com/ 


 Click on New > DocumentDB


Enter A Database ID and hit Create!



Query Unstructured Data From SQL Server Using PolyBase

Scope The following article demonstrates how unstructured data and relational data can be queried, joined and processed in a single query using PolyBase, a new feature in SQL Server 2016. Pre-RequisitesIntroduction to Big Data Analytics Using Microsoft Azure Big Data Analytics Using Hive on Microsoft Azure Analyze Twitter Data With Hive in Azure HDInsight Running Hadoop on Linux using Azure HDInsight  Introduction Traditionally, Big Data is processed using Apache Hadoop which is totally fine. But what if the result of this needs to be linked to the traditional Relation Database? For example, assume that from the analysis of tons of application logs, marketing needs to contact some customs that faced problems in an application following a failure in the application.
This problem is solved with PolyBase. PolyBase allows you to use Transact-SQL (T-SQL) statements to access data stored in Hadoop or Azure Blob Storage and query it in an ad-hoc fashion. It also lets you query semi-structure…

Creating and Deploying Microsoft Azure WebJobs

Azure WebJobs enables you to run programs or scripts in your website as background processes. It runs and scales as part of Azure Web Sites.
This article focuses on the basics of WebJobs before demonstrating an example where it can be used.

This article is also available on the Mirosoft TechNet Wiki.
This article was highlighted in the The Microsoft TechNet Guru Awards! (October 2014).


Introduction
What is Microsoft Azure WebJobs?
Azure WebJobs enables you to run programs or scripts in your website as background processes. It runs and scales as part of Azure Web Sites.

What Scheduling Options is supported by Microsoft Azure WebJobs? Azure WebJobs can run Continuously, On Demand or on a Schedule.
In what language/scripts are WebJobs written?
Azure WebJobs can be created using the following scripts:  .cmd, .bat, .exe (using windows cmd).ps1 (using powershell).sh (using bash).php (using php).py (using python).js (using node)In this article, the use of c# command line app shall be demonstrated.
Cr…