Athens Big Data Meetup 2018 – Workshop II

Hello wonderful big data developers and enthusiasts. We are happy to announce our second Workshop (Part II) for 2018, which will take place on Saturday June 23 at ALBA Graduate Business School (http://www.alba.acg.edu). We organize this workshop in partnership with Landoop (http://www.landoop.com). This time our agenda will be about Kafka! This is an event you don’t want to miss! More about the event bellow.

• Sessions

Short Speech: ‘’Apache Kafka entering the streaming world via Lenses’’
What is Apache Kafka? What solution does it bring to a complex streaming world and how can you manage online in-motion data?

Workshop : ‘’Let’s set things up’’
Time for hands-on experience. A workshop based on how to setup Apache Kafka and explore some tools and extensions.

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• Important to know
There is limited availability of 25 seats (only the first 25 valid registrations will be accepted). Please fill the next registration form. A confirmation request message will be sent to first 25 registered members, that they have to reply back in order to be confirmed.

• Registration Form : https://docs.google.com/forms/d/e/1FAIpQLSeIwuKZ7XsjpBFnDw83PP0z-1mH75qHoFy9IM4dtsTYRHYPEQ/viewform

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Instructor Bios:

John is a software engineer at Landoop, aiming to enable organisations and developers move and extract value from their data through/enhancing our data streaming platform. Currently he is passing his days – and nights – testing our upgrades on Lenses streaming platform and Kafka connectors and APIs. John comes to share with you how Apache Kafka is entering a streaming world through Lenses in his own humorous and simple way.

Marios, our Guru DevOps engineer, is Head of DevOps at Landoop, with numerous personal projects and serial entrepreneur. He takes for granted professionalism and commitment with his partners and team members. His motto? ‘’Do not panic!’’. Come and meet him introducing you to Apache Kafka through a hands-on workshop on setting up Kafka and using tools and extensions.

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• Prerequisites: Will be sent to you soon, stay tuned!

• What to bring:
– This is Bring Your Own Device (BYOD) event, so do not forget your device!
– Basic knowledge of programming
– Basic knowledge of Kafka.
– You need to setup the environment in order to attend. Instructions will be provided.

• Environment setup
– Instructions for Environment Setup & Configuration : (details will be provided soon)

• Sponsors
– Intracom Telecom : [http://www.intracom-telecom.com/]
– Landoop : [http://www.landoop.com/]
– ALBA Business School : [http://www.alba.acg.edu/]

• Workshop Agenda
10:30 – 10:45: Welcoming & Registration
10:45 – 11:00 Opening Remarks-Getting to know each other
11:00 – 11:45 Speech
11:45 – 12:00 Break
12:00 – 15:30/16:00 Workshop
16:00 – 17:00 Socializing

Current Trends in Enterprise Data Science

Hello wonderful big data developers and enthusiasts. We hope this email finds everyone well!

We are excited to announce our first event for this summer that will take place on Thursday, June 21st at 7pm. Our venue is once again the ground floor of The Cube Athens.

Our speakers will be Nikolaos Vasiloglou (https://linkedin.com/in/vasiloglou/) and Christos Malliopoulos (https://linkedin.com/in/cmalliopoulos/) from MLTrain (https://mltrain.cc/), who will be talking to us about Current Trends in Enterprise Data Science, with a focus on data privacy, representation and neural computation frameworks.

Adrianos | Euangelos | Stavros

About the Talks:
1st Talk:

Privacy, Security, and Ethics in Data Science

When a data scientist works on datasets she/he is focusing on the scientific side of the problem. In many cases though data contains private and sensitive information that the data scientist might not even be allowed to see. In the first part of this talk we will explore methods and techniques of automatic preprocessing of the data that allow the data scientist to create models without direct access to private and sensitive data. In the second part we will explore the biases that ML algorithms can have that raise ethical issues. How do you check that your classifier is not a racist?

2nd Talk:
Training Neural Networks with Enterprise Relational Data

A basic property of enterprise data is their qualitative nature. We usually handle data that represent categories rather than quantities. This is not of major concern when we employ tree-type methods for inference (forests and gradient boosted trees). Model-based methods on the other hand generalize better than trees but are suited for scalar rather than categorical data. Traditionally we overcome this limitation by converting categories to binary variables but again, this increases dramatically the input dimensionality making the learning task harder. In the talk we explain vector embeddings of categorical variables and how we can use them to train a feed-forward neural network with Tensorflow.

Speakers:

Nikolaos Vasiloglou holds a Diploma in Electrical and Computer Engineering from the National Technical University of Athens and a PhD from the department of Electrical and Computer Engineering at Georgia Institute of Technology. His thesis was focused on scalable machine learning over massive datasets.

After graduating from Georgia Tech he founded Analytics1305 LLC and Ismion Inc. He has architected and developed the PaperBoat machine learning library which has been successfully integrated and used in the LogicBlox and HPCCSystems platforms.

Currently he works as a machine learning consultant for Symantec and Infor focusing on Google’s TensorFlow and has been active in developing the syllabus for a series of TensorFlow training events. His work has resulted in patents and production systems.

Christos Malliopoulos holds a Diploma in Electrical and Computer Engineering, an MSc (summa cum laude) in Probability and Statistics and a PhD (summa cum laude) in signal processing and machine learning, all from the National Technical University of Athens.

He has worked as a research scientist at the “Institute for Language and Speech Processing” of “Athena research center” and, as BI specialist and later as the manager of the BI department of Hellenic Telecommunications Organization, a subsidiary of Deutsche Telekom AG.

He has been a consulting contractor of the data science group of Logicblox Inc. Currently he works as a machine-learning consultant for Infor Inc. focusing on declarative numerical optimization frameworks and in-database machine learning.

• Sponsors
– Intracom Telecom : [http://www.intracom-telecom.com/]
– MLTrain : [https://mltrain.cc/]
– efood : [https://www.e-food.gr/]

• Schedule
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 contact.

DEVit Special Edition Meetup – Thessaloniki

We are so excited to announce our special edition Larissa Developers Meetup, in partnership with DEVit Conference, in Thessaloniki!

This special, free-entrance, mini-conference will run during DEVit Week in OK!Thess (https://okthess.gr), together with multiple Meetups, accompanied by international speakers!

During the event, DEVit organisers will giveaway FREE DEVit Conference tickets. Food and beverages offered at the end of the Meetup, courtesy of Fieldscale.

Wanna hear Jim Bennett talking about AI on Mobile Apps?
Wanna hear all about React Native and how you can build amazing apps?
Interested in Machine Learning in .NET?

Then come join us!

Schedule
————-
18:30 – 18:35 : Welcome
18:35 – 19:15 : DEVit speaker – Jim Bennett
19:15 – 20:00 : .NET Meetup, Ziazios Konstantinos – Machine Learning for .NET”
20:15 – 21:00 : Larissa Developers Meetup, Dimitris Tsolis – Introduction to React Native
21:00 – : Pizzas & beers (will start @ OK!Thess)

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.NET Announcement: https://www.meetup.com/Thessaloniki-NET-Meetup/events/250835160/

Don’t forget to check out the other DEVit Week meetups @ https://devitconf.org/devit-week

Join workshops and watch great talks at https://devitconf.org

Κωδική ονομασία: DevItUp

Φίδοι και φίδες, μετά από μακρά απουσία στην οποία βαριόμουνα να κανονίσω μιτάπ γιατί με έπιασε μια σπαρίλα άλλο πράμα, επέστρεψα δριμύτερος και με ανανεωμένη όρεξη για μιταπ τα οποία με ψιλοαναγκάζουν να διοργανώσω!

Χάρη στα παιδιά του DevIt, θα συναντηθούμε και πάλι όλοι μαζί για να πούμε τα νέα μας, ιστορίες από το στρατό και να διαβάσουμε τα ζώδιά μας. Επίσης, θα κάνουμε και παρουσιάσεις για πράματα.

Αυτό το μιτάπ θα γίνει στα πλαίσια του DevIt week, στο οποίο θα δείξουμε ποιοι είμαστε μπας και έρθει κανένας καινούριος γιατί με το ρυθμό που χάνουμε κόσμο, σε λίγο θα χρωστάμε και άτομα. Χωρίς περαιτέρω (έτσι γράφεται; ποτέ δεν το θυμάμαι) καθηστέρυση (χαχα το πχιάσατε ε), το πρόγραμμα παρουσιάσεων:

18:30-19-15: Μια ομιλία για μπλόκτσέην, είναι σόου θρι μάνθς αγκό το μπόκτσεην αλλά θα την κάνουμε, τι να γίνει, αφού δεν έχουμε εμέλ.

19:15-20:00: Νοδε.ξσ τοκ. Τα άτομα που λατρεύουμε να μισούμε θα μας πουν τι είναι νέο στο χώρο του νοδε.ξσ κι εμείς θα τους πούμε ότι το ντζάνγκο το είχε από το 2004 και μπορείς να κάνεις και εμέλ αμα θες και έχει και τσούπιτερ νόουτμπουκς.

20:15-21:00: Το δικό μας το τοκ, και η στιγμή που θα εμφανιστώ εγώ γιατί δουλεύω μέχρι τις οχτώ δεν είμαι σαν εσάς που μεσημέρι τελειώνετε και μετά πίνετε φραπέδες και κάνετε μιτάπ είμαι σοβαρός άθρωπος. Η ομιλία θα έχει θέμα το Flask, ξέχασα να σας το πω, και θα μας δείξει πώς να φτιάξουμε ένα REST API με το Flask και πώς να δουλεύουμε με task queues με το Celery. Είναι πολύ ενδιαφέρον το πώς δουλεύουν όλα αυτά τα μέρη μαζί.

21:00: Πιτσόμπυρα.

Όποτε τελειώσουν τα πιτσόμπυρα – 02:00: Ποτά PyThess, γιατί έτσι μας αρέσει.

Επίσης θα κληρώσουμε και X εισιτήρια DevIt (X ∈ ℕ) , εγώ ελπίζω να το κερδίσω.

Το μιτάπ θα γίνει στο ΟΚΘες γιατί θα είμαστε πολλοί, σας περιμένω όλους και ελπίζω να μην απογοητευτώ. Τα λέμε εκεί!

Φιλιά!
Σταύρος

6th Thessaloniki UX Meetup – Part of DEVit Week

Ώρα για το 6ο Thessaloniki UX Meetup!

Στα πλαίσια του DEVit week για το DEVit Conference (https://devitconf.org), αυτή τη φορά ενωνόμαστε με το CocoaHeads Thessaloniki meetup και υποδεχόμαστε 4 ομιλητές:

– Από τους DEVit 2018 speakers, τον Dave Platt (https://www.linkedin.com/in/plattdave/), President of Rolling Thunder Computing, Inc., instructor in Computer Science for the Harvard University Extension School.

“Security and Usability: The Eternal Tension”
All users say they want to be secure in their online workings. At the same time, they never, EVER cooperate with online measures needed to ensure security. How do we design our apps to be as secure as possible, while not driving away the users that we need? Join industry legend David Platt for a discussion of the eternal tradeoff between security and usability, and how to make the right decisions for your apps and your customers.

– Για το UX meetup, τον Thanos Papavasiliou (https://www.linkedin.com/in/thanospap/), UX & UI Designer.

“Designing Under Pressure”
It’s Saturday morning and you need to design and present a Mobile App to a client Until Tuesday. You have a day job. You have 2 kids and a (in life) partner. Your client is a better designer than you. You really, really want to impress this client. Join me in this impossible UX Journey and let’s learn together how to select the right UX Methods & Techniques in order to produce a proper set of UX Artefacts, when time (and budget) is not on your side.

– Για το CocoaHeads meetup, τους Dimitris Tsiflitzis και Thanos Theodoridis

“A language of ideas: Swift”

Ξεκινάμε στις 18:30 στο OK!Thess, και όπως πάντα, αμέσως μετά θα έχουμε τον απαραίτητο χρόνο για networking, pizzas and beer 🙂

Serverless Architecture & NoSQL Databases

Serverless Architecture & NoSQL Databases
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Το καλοκαίρι φτάνει με γρήγορους ρυθμούς και μαζί του φέρνει το 10ο Meetup με hot θεματολογία: Serverless αρχιτεκτονική και βάσεις NoSQL! Θα μιλήσουμε για τα απαραίτητα βήματα, τις προκλήσεις και τον επανασχεδιασμό του κώδικα μας από Μονολιθική σε Serverless αρχιτεκτονική και θα συνεχίσουμε με NoSQL βάσεις δεδομένων με σκοπό να ανακαλύψουμε πότε, πώς και γιατί να τις χρησιμοποιήσουμε.

Summer is loading and what brings along is the 10th Meetup with two hot talks: Serverless architecture and NoSQL databases! We will discuss the necessary steps, the challenges and how to migrate a codebase from monolithic to Serverless architecture. Coming up next is NoSQL databases, in order to discover how, when and why we should use a non-relational database schema

Speakers (in order of appearance)
———————————————–
Kostas Katsikas – Web Application Architect
Stavros Korokithakis – Supreme Ruler of the Universe

Schedule
————–
7:00pm – 7:10pm : Introduction
7:10pm – 7:55pm : Migrating from Monolithic to Serverless (Kostas Katsikas)
7:55pm – 8:15pm : Break
8.15pm – 9:00pm : We’re going to talk about NoSQL, you can’t join 😉 (Stavros Korokithakis)
9:00pm – : Connecting Micro-party

Blockchain meets Machine Learning: Joint Meetup

The agenda for the meetup is:

19.00 – 19.45 Introduction to Bitcoin and Blockchain — Thomas Sermpinis
19.45 – 20.00 Break
20.00 – 20.15 Introduction to Machine Learning — Nikolaos Passalis
20.15 – 21.15 Discussion of Bitcoin price prediction using Deep Learning Models — Avraam Tsantekidis
21.15 – 21.30 Discussion / networking / end

Please note that presentations will be in Greek.

Abstracts:

– Introduction to Bitcoin and Blockchain
Bitcoin and especially blockchain technologies get more and more important each day, breaking the barrier of the cryptocurrency with the introduction of many new practical applications. In this presentation we will discuss the fundamentals of blockchain technologies, using Bitcoin as our benchmark, and covering topics like transactions, nodes, consensus and other important aspects of these technologies.

– Introduction to Machine Learning
Nikolaos Passalis will present and refresh the most important Machine Learning and Deep Learning concepts, along with some applications using the well-known Keras library, in less than 15 minutes. Some familiarity with Python is all you need!

– Discussion of Bitcoin price prediction using Deep Learning Models
Lately Bitcoin has been receiving more and more attention, both as a technological achievement capable of allowing true ownership of ones’ wealth, but also as a risky investment opportunity which has attracted a significant amount of capital. There are many faucets of Bitcoin and Blockchain technology upon which Machine Learning can be applied and yield practical results. In this presentation, the topic of Bitcoin price prediction using Deep Learning models, such Long-Short Term Memory (LSTM) networks, will be discussed. Several code examples using Python and Keras, backed by Tensorflow, will be presented, walking you through all the necessary steps to understand the basics of building a Machine Learning model and testing it on real financial data.

Short Biographies of presenters:

– Thomas Sermpinis is a security and blockchain engineer with a Masters Degree in Informatics and Management. He has worked as an instructor in the field of cyber security, covering a wide variety of topics. Also, he is deeply involved in the cyber security community, with a strong social media presence (security blog and popular YouTube channel). For the last year he is dedicated to blockchain technology and currently works as a blockchain research engineer in Aristotle University.

– Nikolaos Passalis is a Ph.D. candidate and researcher in the Department of Informatics, Aristotle University of Thessaloniki. He obtained his B.Sc. in Informatics in 2013 and his M.Sc. in Information Systems in 2015 from Aristotle University of Thessaloniki, Greece. His research interests include deep learning, computational intelligence and information retrieval. His doctoral studies are supported by the General Secretariat for Research and Technology (GSRT) and the Hellenic Foundation for Research and Innovation (HFRI).

– Avraam Tsantekidis is a Ph.D. candidate in the Artificial Intelligence & Information Analysis Laboratory of the Department of Informatics, Aristotle University of Thessaloniki. He obtained his B.Sc. in Informatics in 2016 from the Aristotle University of Thessaloniki. His research interests include Deep Learning, Time Series and Financial Markets. During the first year of his Ph.D. he was employed by an Investment Fund to research and develop Deep Learning to support its financial activities.

The environment is casual and there will be plenty of opportunities to learn and more importantly get to know each other. After the event everyone is welcome to one of the nearby cafeterias to get to know each other.

Hope to see you there!

Blockchain and Machine Learning Joint Meetup

Join us in our attempt to bring together the worlds of Blockchain and Machine Learning. Friday 25/05 – 19:00, at OK!Thess.

Agenda:
19.00: ‘Introduction to Bitcoin and Blockchain’, Thomas Sermpinis
20.00: ‘Introduction to Machine Learning’, Nikolaos Passalis
20.15: ‘Bitcoin price prediction using Deep Learning Models’, Avraam Tsantekidis

——

‘Introduction to Bitcoin and Blockchain’, Thomas Sermpinis

Abstract: Bitcoin and especially blockchain technologies get more and more important each day, breaking the barrier of the cryptocurrency with the introduction of many new practical applications. In this presentation, we will discuss the fundamentals of blockchain technologies, using Bitcoin as our benchmark, and cover topics like transactions, nodes, consensus and other important aspects of these technologies.

Bio: Thomas Sermpinis is a security and blockchain engineer with a Masters Degree in Informatics and Management. He has worked as an instructor in the field of cyber security, covering a wide variety of topics. Also, he is deeply involved in the cyber security community, with a strong social media presence (security blog and popular YouTube channel). For the last year he is dedicated to blockchain technology and currently works as a blockchain research engineer in Aristotle University.

‘Introduction to Machine Learning’, Nikolaos Passalis

Abstract: You can attend the meetup regardless your background! Nikolaos Passalis will present and refresh the most important Machine Learning and Deep Learning concepts, along with some applications, in less than 15 minutes.

Bio: Nikolaos Passalis is a Ph.D. candidate and researcher in the Department of Informatics, Aristotle University of Thessaloniki. He obtained his B.Sc. in Informatics in 2013 and his M.Sc. in Information Systems in 2015 from Aristotle University of Thessaloniki, Greece. His research interests include deep learning, computational intelligence and information retrieval. His doctoral studies are supported by the General Secretariat for Research and Technology (GSRT) and the Hellenic Foundation for Research and Innovation (HFRI).

‘Bitcoin price prediction using Deep Learning Models’, Avraam Tsantekidis

Abstract: Lately Bitcoin has been receiving more and more attention, both as a technological achievement capable of allowing true ownership of ones’ wealth, but also as a risky investment opportunity which has attracted a significant amount of capital. There are many faucets of Bitcoin and Blockchain technology upon which Machine Learning can be applied and yield practical results. In this presentation, the topic of Bitcoin price prediction using Deep Learning models, such Long-Short Term Memory (LSTM) networks, will be discussed. Several code examples using Python and Keras, backed by Tensorflow, will be presented, walking you through all the necessary steps to understand the basics of building a Machine Learning model and testing it on real financial data.

Bio: Avraam Tsantekidis is a Ph.D. candidate in the Artificial Intelligence & Information Analysis Laboratory of the Department of Informatics, Aristotle University of Thessaloniki. He obtained his B.Sc. in Informatics in 2016 from the Aristotle University of Thessaloniki. His research interests include Deep Learning, Time Series and Financial Markets. During the first year of his Ph.D. he was employed by an Investment Fund to research and develop Deep Learning to support its financial activities.

DEVit Week. Thessaloniki .NET and Larissa Developers United

This will be a pre DEVit event during DEVit Week.

DEVit speaker :Jim Bennett
“Stop the ducks and f**ks – using AI to filter mobile app content”
A large number of mobile apps rely on user input – whether they are photo sharing tools, social media apps or chat apps. Whilst these kind of apps are great and have helped created large communities of like-minded people, they also suffer from the inevitable inappropriate content. This talk looks at using AI to reduce the risk of users being exposed to inappropriate images and text.

Thessaloniki .NET meetup: Ziazios Konstantinos
“Machine Learning for .NET”
Machine Learning for .NET. ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers. ML .NET allows .NET developers to develop their own models and infuse custom ML into their applications without prior expertise in developing or tuning machine learning models, all in .NET. Enhance your dot net app with machine learning and explore common scenarios.

Larissa Developers meetup : Dimitris Tsolis
“Introduction to React Native”

13th WordPress Larissa Meetup

Το Επιμελητήριο Λάρισας, στην οδό Παπακυριαζή 44, την Πέμπτη 17 Μαϊου 2018 και ώρα 18:30, ανοίγει τις πόρτες του και φιλοξενεί την Ελληνική Κοινότητα του WordPress που ανανεώνει το μηνιαίο ραντεβού της.

Στην τελευταία πριν την καλοκαιρινή περίοδο συνάντηση, η Ευαγγελία Παππά, web publisher, θα μας μιλήσει για το WordPress και τις κοινότητες χρηστών, τον εθελοντισμό και την εμπειρία bloggers χωρίς απαραίτητη γνώση πληροφορικής και θα απαντήσουμε στην ερώτηση «Γιατί, WordPress;»

Ο Γιάννης Γιαλαμάς, εκπαιδευτής ενηλίκων, θα μας μιλήσει για τη χρήση του WordPress στη διαχείριση ηλεκτρονικών τάξεων και τη δημιουργία μαθημάτων e-learning, για τη διευκόλυνση διδασκόντων και μαθητών.

Ενώ, τέλος, ο Κωνσταντίνος Καλαϊτζίδης, φοιτητής πληροφορικής, θα μας μιλήσει για τον τρόπο με τον οποίο μπορείς να φορέσεις ως παράσημο την αποτυχία ως φοιτητής και που μπορεί αυτό να σε οδηγήσει”, μετά την εμπειρία του στο Google Launchpad.