Sebastian Wróbel has organized a workshop – Hybrid intelligence (also hybrid learning). Machine Learning + Blockchain with examples based on a’Pear use cases.
Meeting was held on 25.06.2018.
The meeting had a form of mini-course focused on Recurrent Neural Networks. The presenter was Karol Draszawka
Karol’s description of course:
“This course presents the basics of Recurrent Neural Networks (RNNs) in the context of sequence labelling problems. The need for RNNs is shown first. After that, basic RNNs architecture and the training algorithm Backpropagation Through Time (BPTT) are given in theory and implemented using Tensorflow primitives. Considatations about problems with such basic RNNs leads to the design of refined RNN architectures, such as LSTM and GRU, which are next implemented, also from Tensorflow primitives. Lastly, some examples and tips for using RNNs for real problems are given.”
Our next meeting is on 9th July 2018. All ML Enthusiasts are welcome to join us!
- 2 coaches,
- 20 attendees,
- 2 different problems (classification & regression),
- 6 hours of collaboration and networking.
- PhysioNet – Computing in Cardiology Challenge 2017
sphinx/src/machine_learning/ exercises/physionet_challenge_ 2017/index.html
- PredictX delivers big data, machine learning, and decision automation services to data-reliant industries, in particular financial services, procurement, retail, travel and healthcare. Using embedded intelligence and data visualisation technology, PredictX continuously drive cost savings, operational efficiencies and revenue growth. PredictX supports clients in capturing, cleaning and compiling their data from multiple sources from within and outside the business. More: https://www.predictx.com/
10 May (Thursday) – special meeting, due to the special guest – Chris Rowen – who visited Gdańsk and presented passionate talk about the machine learning revolution, accelerating startups, and especially about his new startup – BabbleLabs.
Chris is a well-known Silicon Valley entrepreneur and technologist, now serving as co-founder and CEO of BabbleLabs. He has led Cognite Ventures, a specialized analysis, investment and advisory company for deep learning start-ups. He has served as CTO for Cadence’s IP Group, where he and his team develop new processor and memory for advanced applications in mobile, automotive, infrastructure, deep learning and IoT systems. Chris joined Cadence after its acquisition of Tensilica, the company he founded to develop extensible processors. He led Tensilica as CEO and later, CTO, to become one of the most prolific embedded processor architectures.
Before founding Tensilica in 1997, he was VP and GM of the Design Reuse Group at Synopsys. Chris also was a pioneer in developing RISC architecture and helped found MIPS Computer Systems, where he was VP of Microprocessor Development. He holds an MSEE and PhD in electrical engineering from Stanford and a BA in physics from Harvard. He holds more than 40 US and international patents. He was named an IEEE Fellow in 2015 for his work in development of microprocessor technology.
The first meeting of MLGdańsk group in the New Year was on 15th of January 2018.
This time we discussed about Capsule Networks – quite hot topic in ML world at the moment. The lecture on this subject was given Piotr Chlebek. We will definitely revisit this topic in the future!
Piotr’s presentation: MLGdansk34 – Capsule Networks
Our next meeting is planned on 29th of January 2018.
Meeting was held on 5.06.2017.
Łukasz Czekaj gave lecture about Bayesian modelling. He described thoroughly the concept and the most popular approaches (Bayesian networks, Bayesian hierarchical models). Łukasz also presented how to use JAGS framework to build and run those kinds of models.
Our next meeting will take place in two weeks. Feel free to join us!
The 20th meeting of our group took place on 22th of May.
The topic of the meeting was Support Vector Machines. It was thoroughly described by Krzysztof Czarnowski. The presentation was followed by interesting discussion about some mathematical details of those algorithms.
Next meeting will be held on 5th of June.
During our 19th meeting on 8th of May, Marcin Zadroga talked about decision trees and random forest methods.
Marcin described the concepts and intuitions which are basis for those popular algorithms. Also the methods like bagging and boosting were discussed.
Next meeting of our group will be held on 22nd of May. Join us!
On 24th of April 2017 we had 19th meeting of our group.
Two topics were presented. First presenter was Maciej Godek, who talked about logic programming in Scheme. He also showed us some programs he created – neural networks and genetic algorithm implementations. Additionally, Maciej presented the framework for creating virtual robots.
Second presentation was delivered by Kuba Domaszewicz. The topic of this talk was ECG signal analysis. Methods described by Kuba are used in aidlab device (health tracking wearable assistant).
Next meeting will be held on 8th of May. Feel free to join us!
Our 17th meeting was on 3rd of April 2017.
This time we had opportunity to listen to two speakers. The first – great – presentation was presented by Karol Draszawka, who with extraordinary diligence and enthusiasm discussed the intricacies of AlphaGo algorithm. Thanks to Karol, we learnt about the details and structure of five neural networks created by Google to defeat the masters of Go. The presentation was based on the article “Mastering the game of Go with deep neural networks and tree search“.
The second speaker was Piotr Orzechowski from Trineo company from Gdynia. He gave us an overview of the tasks for which image recognition algorithms are used in the security domain.
Our next meeting will be held on 24th of April 2017. See you!
During our 16th meeting on 20th March, Robert Różański presented his PhD dissertation summary.
Subject of his dissertation is „Automation of metabolism research using abstraction logic programming” which he wrote while studying at the University of Manchaster.
Our next meeting will be held on 3rd April. The main topic for our next meeting will be Google Algorithm for Alpha Go. Feel free to join us!
15th meeting of MLGdańsk group was held on 3rd March at The Gdansk University of Technology.
This time, Marcin Zadroga presented Dataiku Data Science Studio, which is a simple and user friendly tool for data analysis. Dataiku DSS out-of-the-box offers basic and more sophisticated algorithms such as Random Forrest, Logistic Regression, Decision Trees and other.
Marcin showed us how to perform common tasks like data cleaning, training of prognostic model and its validation and evaluation.
Next meeting is on 20th March, you are welcome to join us!
On 20th February we met at The Gdańsk University of Technology for 14th meeting of MLGdańsk group.
Adam Brzeski carried out the second part of the Transfer Learning workshop. We learnt how to retrain neural network model according to transfer learning paradigm. Using Inception model we were able to train it and use it for the image classification tasks.
Our next meeting is on 6th March. All ML Enthusiasts are welcome to join us!
The 13th meeting of our group took place on 6th February.
Adam Karwan talked about his experience with MBA program he participates in – MBA Innovation and Data Analysis. Adam described overall program of studies and the most interesting modules.
Second part of the meeting was dedicated to the transfer learning workshop. This part was led by Adam Brzeski. He presented the paridigm of the transfer learning and showed us how to use TensorFlow for this purpose. He outlined thoroughly the idea of image recognition with Convolutional Neural Networks.
Our next meeting and the second part of the workshop will be held on 20nd February. Feel free to join us!
MLGdańsk group met on 23rd January.
Marcin Kuropatwiński presented his research on creating life simulation using machine learning approach. Marcin talked about his motivation and key methodologies. He presented theoretical mathematical basis for building simulation and models of single atoms. His idea is to build simulation based on micro and macroscopic data.
For our next meeting on 6th February we would like to invite all enthusiasts of Neural Networks.