Popular ML algorithms with scikit-learn & ML models optimization with SageMaker

Hello wonderful big data developers and enthusiasts.

We are excited to announce our next event that will take place on Thursday, 14 March at 7pm. Our venue this time is the auditorium on the ground floor of Alba Graduate Business School, The American College of Greece.

Our speakers for the evening will be Julien Simon (https://linkedin.com/in/juliensimon/) from Amazon Web Services and Pavlos Mitsoulis Ntompos (https://linkedin.com/in/pavlosmitsoulis/) from Expedia Group.

In the first talk Julien will walk us through the most popular ML algorithms, and in the second talk Pavlos will show us the art of building and optimizing ML models.

Looking forward to seeing you there!

Adrianos | Euangelos | Stavros


1st Talk:
An intro to popular ML algorithms with Python and scikit-learn

In this session, we’ll introduce you to popular Machine Learning algorithms: regression, classification, decision trees, etc. We’ll use Python, SciKit-learn and Jupyter notebooks. No prior ML experience required.

2nd Talk:
A focus on building and optimizing ML models with Amazon SageMaker

The biggest challenge facing a Machine Learning professional is to train, tune, and deploy Machine Learning on the cloud. AWS SageMaker offers a powerful infrastructure to build end-to-end ML solutions. This talk will teach you to run your new or existing ML project on SageMaker. You will train, tune, and deploy your models in an easy and scalable manner by abstracting many low-level engineering tasks. You will see how to code training and prediction workflows by working on a novel ML problem using embeddings. The talk will focus on the usage of Python libraries: sagemaker (https://sagemaker.readthedocs.io/en/stable/) and sagify (https://kenza-ai.github.io/sagify/).


1st Speaker:
As the Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences and he’s also actively blogging at https://medium.com/@julsimon .

2nd Speaker:
Pavlos Mitsoulis Ntompos has 7 years of Machine Learning and Software Engineering experience. Currently, he is a Staff Software Engineer (Machine Learning) at HomeAway (an Expedia Group brand), leading Machine Learning initiatives to support growth marketing. Recently, he published a Packt video course about AWS SageMaker, “Hands-On Machine Learning Using Amazon SageMaker” (https://www.packtpub.com/application-development/hands-machine-learning-using-amazon-sagemaker-video). Additionally, he is the co-creator of Sagify, an open-source library that simplifies training, evaluating, and deploying ML models to SageMaker. In the past, he was an instructor at the MSc in Business Analytics course offered by Athens University of Economics and Business, teaching the applications of Machine Learning using big data technologies. He has a Master’s degree in Computer Science from Imperial College London. Finally, Pavlos always seeks to apply and discover new Machine Learning theories and best practices.


– Intracom Telecom : [ http://intracom-telecom.com/ ]
– Channel VAS : [ http://channelvas.com/ ]
– Glispa : [ http://glispa.com/ ]
– Alba Graduate Business School, The American College of Greece : [ http://alba.acg.edu/ ]


7:00 – Socialize
7:25 – Welcome
7:30 – 1st Talk
8:15 – 2nd Talk
9:00 – Drinks & Pizzas

We are always looking for speakers for our meetups. If you would like to give a talk please drop us a line!