I will be talking about DevOps!
More details and registration: https://www.eventbrite.com/e/k-mug-techday-dec-2016-registration-30187710254
9:30 AM – 9:45 AM – Networking and Community Updates
9:45 AM – 10:30 AM – Introduction to Angular 2 – Leo P Joy
10:30 AM – 11:15 AM – Introduction to DevOps – Praveen Nair
11:15 AM – 11:25 AM – Tea Break and Networking
11:25 AM – 12:00 PM – Basic of ASP.NET MVC – Tinu
12:00 PM – 12:40 PM – Unit Testing on .NET Core – Anuraj
12:40 PM – 1 PM – Ask Experts – Q&A Session
Orion India Systems Pvt. Ltd
2nd Floor, LuLu Cyber Tower
Infopark, Kakkanad, Kochi
It was just one week back we announced this special event as the speaker will not be available for a some time after this week so we had to organize this event today (9/July/2016). Despite the fact that it was a short notice and is mostly a non-technical topic, and unexpected morning rains, I was personally expecting a small crowd when compared to our regular K-MUG events but surprisingly we had 25+ audience attended from various companies – Orion, Envestnet, UST Global, TCS, Tranzmeo, Pinnpark, Wowmakers, Identitymine, Suyati, Entri, Profoundis, etc. to name few. Came to know from the kind of questions asked by audience, and pep talks at networking break – it is found that most of the people were somehow working on Data Analytics topics. This clearly shows where our industry trends are heading to.
It was at the venue of MobConf last month, Praseed Pai promised to me to take a K-MUG session on Practical Machine Learning. I was always enthusiastic about Data Science and I also decided that time itself to take a session on Microsoft Azure Machine Learning. Thankfully everything went fine, as usual Orion India Systems agreed to sponsor and organize the event by providing venue (a 60 seat training hall), refreshments and volunteers.
Dr. Arun Marar, Project Head for Data Science at ORION kick started the event on time by giving a short talk on the theme.
Praseed Pai made our day by starting from basics of statistics to advanced topics like Decision Trees and Apriori Algorithm. He explained everything using real life examples so that even a novice in the field can easily follow. We ended the program by 1:15PM and agreed to organize a Hackton soon.
Below are the slides I prepared for my Microsoft Azure Machine Learning session:
Here is the social media and mail flyer I designed for the event: