Hands-on Workshops

Bring your notebook and take part in one of 12 AI & NLP related workshops to quickly gain hands-on knowledge on current methods and technologies.

State-of-the-art Knowledge

Talk to field experts, scientists and PolEval competition winners to discuss state-of-the-art knowledge in the area of AI and NLP.

Science meets Business

Exchange ideas and talk business with participants both from academia and industry.

12 speakers

4 parallel tracks

150 participants

collocated with PolEval 2018 competition

Agenda

The schedule of AI & NLP Workshop Day is tentative and may change in the coming weeks.

08:00 - 08:45

Registration and coffee

08:45 - 09:00

Opening and Welcome Speech

09:00 - 09:45

Artificial Intelligence - propaganda, marketing and alchemy

Piotr Gawrysiak

Associate Professor at Warsaw University of Technology / Chief Data Scientist at mBank / Co-founder of Polidea

09:45 - 10:30

TBA

ML/AI Workshop

10:45 - 12:15

Introduction to Object Detection

Wiktor Rutka

Senior Software Specialist at intive

From hello world to object detection. We are going to go through the simplest Python program that utilizes Tensorflow library, test some models available publicly and finish with working solution for object detection. We are going to see how dataset affects accuracy and how we can improve it. You are going to see some web resources than might be used in this issue and in similar problems. It will be an exciting journey.

ML/AI Workshop

12:30 - 14:00

Introduction to Deep Learning

Barbara Rychalska

Data Science Section Lead at Findwise

The workshop will provide basic information about deep learning: the mechanics behind neural networks, the training procedure (concepts such as backpropagation, RMSProp, Adam, and others), various kinds of neural networks (convolutional, recurrent, autoencoders, GANs, etc.) as well as some tips and tricks for obtaining better performance. We will write code using PyTorch to show these concepts in practice. I will introduce basic features of creating neural networks in PyTorch, using general examples and introducing applications for natural language processing.

Lunch Break

ML/AI Workshop

14:45 - 16:15

Introduction to Action Recognition in Videos

Michał Koperski

Computer Vision a Research Scientist at Tooploox

In the workshop we will present state-of-the-art techniques for action recognition in videos. We will cover topics such as: video features extraction, features encoding and classification. In practical session participants will prepare and train action recognition model based on Fisher Vector encoding and SVM.

ML/AI Workshop

16:30 - 18:00

Playing with training and testing sets: active learning, interpretability and black-box machine learning debugging

Anna Wróblewska

Senior Data Scientist at Applica / Assistant Professor at Warsaw University of Technology

Filip Graliński

Senior Deep Learning Engineer at Applica / Teaching Assistant at Adam Mickiewicz University

When tackling a machine learning modelling challenge, no matter its specifics, a number of questions could be raised in relation to train and test sets, especially when combined with evaluation results. How to select useful datasets for annotation, as small as possible and as good and efficient as possible as well? How to look into machine learning models and cope with text data? How to show what is the most important for a model? How to debug a machine learning model and find its specific weak points? How to compare two models and understand the difference? We will tell about these challenges and other that we can meet doing data science for big datasets, especially text datasets.

Big Data Workshop

10:45 - 12:15

Big Data in the Cloud

Radosław Szmit

Big Data Developer / Trainer at Sages

Cloud technology can create numerous benefits for any given company; faster, cheaper, more flexible and easier to keep up to date. These characteristics are essential for companies when data volumes are growing exponentially. In this course, you will learn about cloud-based Big Data solutions such as Amazon S3, Amazon EMR, Azure Data Lake, Azure HDInsight and the rest of the Big Data platforms.

Big Data Workshop

12:30 - 14:00

Real Time Twitter Analysis

Radosław Szmit

Big Data Developer / Trainer at Sages

Real time big data analytics is referred to the process of analyzing large volume of data at the moment it is created. It is mostly used in organizations that routinely produce massive amount of data in a very short time. In this workshop, we will learn how to process tweets in real time with tools like Apache Kafka and Apache Spark Streaming.

Lunch Break

Big Data Workshop

14:45 - 16:15

Serverless Approach to Working with Data

Jakub Nowacki

Lead Machine Learning Engineer at Sotrender / Data Scientist at SigDelta

Serverless ideas, in particular Function as a Service (FaaS), are gaining popularity. A lot has been said about serverless in context of web applications, but not so much when it comes to data engineering and analytics. During the workshop you will learn how to use the serverless approach for data-driven applications for data collection, storage and analytics. The workshop will be based on AWS services but the knowledge is transferable to other systems.

Big Data Workshop

16:30 - 18:00

Traditional SQL as Big Data query language

Hubert Kobierzewski

BI Practice Lead at Codec / College Lecturer at Kozminski University

BigData solutions cross our sight in more or less intense way during past couple of years. Various implementations of this technology generate another set of technical skills required when you invest in this field and they may become real road blocks in your projects. When companies work on large analytical solutions Microsoft says: “Stick with T-SQL only when you query Big Data”. You’ll see how efficient can SQL Server be when you retrieve information from less structured files and Hadoop. Plus, how can you mix it with relational databases. SQL Server married with Big Data – live in action!

NLP Workshop

10:45 - 12:15

Natural Language Processing in Theory and Practice

Katarzyna Pakulska

Data Science Technology Leader at Findwise

Workshop will provide basic information from Natural Language Processing (NLP). I will start by explaining what it is and why it is so difficult. Next I will introduce users to basic concepts related to NLP such as tokenization, stemming, POS tagging or sentiment analysis. Together with the participant we go through the Machine Learning methods used in NLP. We end with using Python NLP tools in iPython/Jupyter and some code examples using libraries like NLTK or SpaCy.

NLP Workshop

12:30 - 14:00

Textual Information Retrieval

Marek Kozłowski

Head of Natural Language Processing Laboratory at National Information Processing Institute / Assistant Professor at Warsaw University of Technology

Maciej Kowalski

Programmer & Technical Leader at National Information Processing Institute

Textual Information Retrieval is the activity of obtaining documents/texts relevant to an information need from a collection of documents. Searches can be based on full-text or other content-based indexing as specified keywords. Information retrieval is the science of searching for information in a document, searching for documents themselves, and also searching for metadata that describe data. During the workshop we present elastic as a most popular full-text search engine based on Lucene (it provides a distributed, multitenant-capable full-text search engine with an HTTP web interface), and the set of different supervised and unsupervised methods towards keyphrase extraction as the way of documents indexing in a sparse way.

Lunch Break

NLP Workshop

14:45 - 16:15

Fake news detection

Norbert Ryciak

Ph.D. student in the field of Mathematics at Warsaw University of Technology

Fake news is one of the most serious problems in news industry today - false content is used to manipulate public opinion, slander people or just to make money. This is the reason why there is a need to apply automatic methods of detecting such cases. During the workshop we will go through basic as well as more sophisticated machine learning approaches for fake news detection implemented in Python.

NLP Workshop

16:30 - 18:00

Sentiment Analysis

Aleksander Wawer

Principal Engineer at Samsung / Assistant Professor at Institute of Computer Science Polish Academy of Sciences

The workshop will cover modern sentiment analysis methods with the focus on Polish language. It will discuss available resources and tools, from simple dictionaries to fine-grained, deep learning methods. Tutorial will end with a review of the most recent and interesting advances reported for other languages.

10:45 - 11:15

TBA

11:15 - 11:45

TBA

11:45 - 12:15

TBA

12:30 - 13:00

TBA

13:00 - 13:30

TBA

13:30 - 14:00

TBA

Lunch Break

14:45 - 15:15

TBA

15:15 - 15:45

TBA

15:45 - 16:15

TBA

16:30 - 17:00

TBA

17:00 - 17:30

TBA

17:30 - 18:00

TBA

Speakers

We have a great lineup of speakers from science and business. Here we introduce you to some of them.

Book your ticket now

 

Early bird

  • Participate in all talks and workshops
  • Lunch included
  • Snacks and Coffee break
  • Early bird tickets available until September 16th
499 PLN

NOT AVAILABLE

Regular pass

  • Participate in all talks and workshops
  • Lunch included
  • Snacks and Coffee break
  • Available until end of September if tickets remaining
799 PLN
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