Version 0.36 Aug. 6, 2022
We released a new schedule version!
We had to move some sessions, so if you were planning on seeing them, check their new dates or locations:
- “Tiling & Parallel Processing of Large Images” by Anush Tosunyan (Aug. 13, 2022, 3:30 p.m. → Aug. 12, 2022, 3:30 p.m.)
- “Classical Texture Synthesis and Beyond” by Hovhannes Margaryan (Aug. 12, 2022, 3:30 p.m. → Aug. 13, 2022, 3:30 p.m.)
Version 0.35 Aug. 2, 2022
We released a new schedule version!
Version 0.34 Aug. 1, 2022
We released a new schedule version!
Version 0.33 July 30, 2022
We released a new schedule version!
Version 0.32 July 30, 2022
We released a new schedule version!
We had to move some sessions, so if you were planning on seeing them, check their new dates or locations:
- “Exploratory Data Analysis and Feature Engineering with PySpark” by Yana Khalitova (Aug. 13, 2022, 4:10 p.m. → Aug. 13, 2022, 4:15 p.m.)
- “AI-Powered Solutions for Cybersecurity” by Elina Israelyan (Aug. 13, 2022, 3:25 p.m. → Aug. 13, 2022, 3:30 p.m.)
Version 0.31 July 30, 2022
We released a new schedule version!
We had to move some sessions, so if you were planning on seeing them, check their new dates or locations:
- “AI-Powered Solutions for Cybersecurity” by Elina Israelyan (Aug. 13, 2022, 3:30 p.m. → Aug. 13, 2022, 3:25 p.m.)
- “Exploratory Data Analysis and Feature Engineering with PySpark” by Yana Khalitova (Aug. 13, 2022, 4:15 p.m. → Aug. 13, 2022, 4:10 p.m.)
Version 0.30 July 30, 2022
We released a new schedule version!
Version 0.29 July 30, 2022
We released a new schedule version!
We had to move some sessions, so if you were planning on seeing them, check their new dates or locations:
- “Modern Data Stack: Optimising and Scaling Data in a tech company” by Nacho Aranguren (Aug. 13, 2022, 3:30 p.m. → Aug. 13, 2022, 4:15 p.m.)
- “Recommendation Systems in Market Research” by Davit Abgaryan (Aug. 13, 2022, 4:15 p.m. → Aug. 13, 2022, 3:30 p.m.)
Version 0.28 July 30, 2022
We released a new schedule version!
We had to move some sessions, so if you were planning on seeing them, check their new dates or locations:
- “Modern Data Stack: Optimising and Scaling Data in a tech company” by Nacho Aranguren (Aug. 13, 2022, 4:15 p.m. → Aug. 13, 2022, 3:30 p.m.)
- “Recommendation Systems in Market Research” by Davit Abgaryan (Aug. 13, 2022, 3:30 p.m. → Aug. 13, 2022, 4:15 p.m.)
Version 0.27 July 30, 2022
We released a new schedule version!
Version 0.26 July 30, 2022
We released a new schedule version!
We had to move some sessions, so if you were planning on seeing them, check their new dates or locations:
- “PyTorch Geometric for Graph Neural Nets” by Dmitry Korobchenko (Aug. 13, 2022, 2:25 p.m. → Aug. 13, 2022, 2:30 p.m.)
- “The Explainability Problem: Towards Understanding Artificial Intelligence” by Nura Kawa (Aug. 13, 2022, 11:30 a.m. → Aug. 13, 2022, noon)
- “Using Few Shot Object Detection for Utility Pole detection from Google Street View images.” by Mark Hamazaspyan (Aug. 13, 2022, 12:35 p.m. → Aug. 13, 2022, 1:45 p.m.)
- “Tiling & Parallel Processing of Large Images” by Anush Tosunyan (Aug. 13, 2022, 3:10 p.m. → Aug. 13, 2022, 3:30 p.m.)
- “Bachelor theses in Deep Learning: submitted to an Armenian University” by Sergey Hayrapetyan (Aug. 13, 2022, 12:35 p.m. → Aug. 13, 2022, 1:45 p.m.)
- “Recommendation Systems in Market Research” by Davit Abgaryan (Aug. 13, 2022, 3:10 p.m. → Aug. 13, 2022, 3:30 p.m.)
- “The dangers of mindless forecasting” by Aghasi Tavadyan (Aug. 13, 2022, 10:45 a.m. → Aug. 13, 2022, 11:15 a.m.)
- “Active Learning for 3D mesh semantic segmentation” by Erik Harutyunyan (Aug. 13, 2022, 11:30 a.m. → Aug. 13, 2022, noon)
- “The structure and interpretation of ML metadata” by Gevorg Soghomonyan (Aug. 13, 2022, 10:45 a.m. → Aug. 13, 2022, 11:15 a.m.)
- “Empirical determinacy of posterior location and scale in Bayesian hierarchical models” by Sona Hunanyan (Aug. 13, 2022, 11:30 a.m. → Aug. 13, 2022, noon)
- “Large Scale Representation Learning In-the-wild” by Hadi Abdi Khojasteh (Aug. 13, 2022, 10:45 a.m. → Aug. 13, 2022, 11:15 a.m.)
- “How to use Pandas efficiently” by Hossein Mortazavi (Aug. 13, 2022, 2:25 p.m. → Aug. 13, 2022, 1:45 p.m.)
- “BERT Model for Real World Healthcare Data” by Artem Terentyuk (Aug. 13, 2022, 3:10 p.m. → Aug. 13, 2022, 3:30 p.m.)
- “NetworkX - your unexcpected assistant for clustering analysis” by Meirav Ben Izhak (Aug. 13, 2022, 2:25 p.m. → Aug. 13, 2022, 2:30 p.m.)
- “Building a Lakehouse data platform using Delta Lake, PySpark, and Trino” by Viacheslav Inozemtsev (Aug. 13, 2022, 2:25 p.m. → Aug. 13, 2022, 2:30 p.m.)
- “Eating humble Py: From toy problem to real-world solution in predicting Customer Lifetime Value” by Katherine Munro (Aug. 13, 2022, 10:45 a.m. → Aug. 13, 2022, 11:15 a.m.)
- “ML Platform for Insurance Conglomerate” by Dmitry Mezhensky (Aug. 13, 2022, 12:35 p.m. → Aug. 13, 2022, 1:45 p.m.)
- “Target based sentiment analysis with T5” by Liana Minasyan (Aug. 13, 2022, 11:30 a.m. → Aug. 13, 2022, noon)
- “AI-Powered Solutions for Cybersecurity” by Elina Israelyan (Aug. 13, 2022, 12:35 p.m. → Aug. 13, 2022, 3:30 p.m.)
Version 0.25 July 29, 2022
We released a new schedule version!
Version 0.24 July 29, 2022
We released a new schedule version!
Version 0.23 July 29, 2022
We released a new schedule version!
Version 0.22 July 29, 2022
We released a new schedule version!
Version 0.21 July 29, 2022
We released a new schedule version!
Version 0.20 July 29, 2022
We released a new schedule version!
Version 0.19 July 29, 2022
We released a new schedule version!
Version 0.18 July 29, 2022
We released a new schedule version!
Version 0.17 July 28, 2022
We released a new schedule version!
Version 0.16 July 19, 2022
We released a new schedule version!
We have a new session: “Streamlit: A faster way to build and share data apps” by Karen Javadyan .
Version 0.15 July 19, 2022
We released a new schedule version!
Version 0.14 July 19, 2022
We released a new schedule version!
Version 0.13 July 18, 2022
We released a new schedule version!
We had to move some sessions, so if you were planning on seeing them, check their new dates or locations:
- “What can your Telegram tell about you? (Answer: Everything)” by Hayk Aprikyan (Aug. 12, 2022, 3:30 p.m. → Aug. 12, 2022, 5 p.m.)
- “Using Python for the PCR design or an easy way to data analysis in life science projects” by Ricardas Ralys (Aug. 12, 2022, 5:05 p.m., 214W PAB → Aug. 12, 2022, 4:15 p.m., 114W PAB)
- “Decoding Human Physiological Behaviors from Intracranial Field Potentials” by Manana Hakobyan (Aug. 12, 2022, 4:15 p.m., 213W PAB → Aug. 12, 2022, 4:20 p.m., 214W PAB)
- “Use AutoML to create high-quality models” by Aleksandr Patrushev (Aug. 12, 2022, 4:20 p.m., 214W PAB → Aug. 12, 2022, 3:30 p.m., 114W PAB)
Version 0.12 July 12, 2022
We released a new schedule version!
We had to move some sessions, so if you were planning on seeing them, check their new dates or locations:
- “ML Platform for Insurance Conglomerate” by Dmitry Mezhensky (Aug. 13, 2022, 11:45 a.m. → Aug. 13, 2022, 12:35 p.m.)
- “The Explainability Problem: Towards Understanding Artificial Intelligence” by Nura Kawa (Aug. 13, 2022, 10:45 a.m. → Aug. 13, 2022, 11:30 a.m.)
- “Scaling Semi-Supervised Production-Grade ASR on 200 Languages” by Luka Chkhetiani (Aug. 13, 2022, 3:15 p.m. → Aug. 13, 2022, 4:15 p.m.)
- “Using Few Shot Object Detection for Utility Pole detection from Google Street View images.” by Mark Hamazaspyan (Aug. 13, 2022, 1:30 p.m. → Aug. 13, 2022, 12:35 p.m.)
- “Target based sentiment analysis with T5” by Liana Minasyan (Aug. 13, 2022, 11:45 a.m., 213W PAB → Aug. 13, 2022, 11:30 a.m., 214W PAB)
- “Modern Data Stack: Optimising and Scaling Data in a tech company” by Nacho Aranguren (Aug. 13, 2022, 4 p.m. → Aug. 13, 2022, 4:15 p.m.)
- “The dangers of mindless forecasting” by Aghasi Tavadyan (Aug. 13, 2022, 10 a.m. → Aug. 13, 2022, 10:45 a.m.)
- “PyTorch Geometric for Graph Neural Nets” by Dmitry Korobchenko (Aug. 13, 2022, 2:15 p.m. → Aug. 13, 2022, 2:25 p.m.)
- “Best practices for coding in ML/DS - Techniques to construct your project” by Mher Khachatryan (Aug. 12, 2022, 1:45 p.m. → Aug. 12, 2022, noon)
- “Empirical determinacy of posterior location and scale in Bayesian hierarchical models” by Sona Hunanyan (Aug. 13, 2022, 10:45 a.m. → Aug. 13, 2022, 11:30 a.m.)
- “Active Learning for 3D mesh semantic segmentation” by Erik Harutyunyan (Aug. 13, 2022, 10:45 a.m. → Aug. 13, 2022, 11:30 a.m.)
- “Tiling & Parallel Processing of Large Images” by Anush Tosunyan (Aug. 13, 2022, 3:15 p.m. → Aug. 13, 2022, 3:10 p.m.)
- “What can your Telegram tell about you? (Answer: Everything)” by Hayk Aprikyan (Aug. 12, 2022, 5 p.m. → Aug. 12, 2022, 3:30 p.m.)
- “Bachelor theses in Deep Learning: submitted to an Armenian University” by Sergey Hayrapetyan (Aug. 13, 2022, 11:45 a.m. → Aug. 13, 2022, 12:35 p.m.)
- “Recommendation Systems in Market Research” by Davit Abgaryan (Aug. 13, 2022, 3:15 p.m. → Aug. 13, 2022, 3:10 p.m.)
- “Near-Duplicate Ad Detection in Online Classified Ad Services” by Diyar Mohammadi (Aug. 12, 2022, 4:15 p.m. → Aug. 12, 2022, 2:30 p.m.)
- “Large Scale Representation Learning In-the-wild” by Hadi Abdi Khojasteh (Aug. 13, 2022, 10 a.m. → Aug. 13, 2022, 10:45 a.m.)
- “Exploratory Data Analysis and Feature Engineering with PySpark” by Yana Khalitova (Aug. 13, 2022, 3:15 p.m. → Aug. 13, 2022, 4:15 p.m.)
- “AI-Powered Solutions for Cybersecurity” by Elina Israelyan (Aug. 13, 2022, 1:30 p.m., 114W PAB → Aug. 13, 2022, 12:35 p.m., 214W PAB)
- “Classical Texture Synthesis and Beyond” by Hovhannes Margaryan (Aug. 12, 2022, 4:15 p.m. → Aug. 12, 2022, 3:30 p.m.)
- “Eating humble Py: From toy problem to real-world solution in predicting Customer Lifetime Value” by Katherine Munro (Aug. 13, 2022, 10 a.m. → Aug. 13, 2022, 10:45 a.m.)
- “How to use Pandas efficiently” by Hossein Mortazavi (Aug. 13, 2022, 1:30 p.m. → Aug. 13, 2022, 2:25 p.m.)
- “Building a Lakehouse data platform using Delta Lake, PySpark, and Trino” by Viacheslav Inozemtsev (Aug. 13, 2022, 2:15 p.m. → Aug. 13, 2022, 2:25 p.m.)
- “Semantic Multimodal Multilingual Similarity engine” by Vladimir Orshulevich (Aug. 12, 2022, 2:30 p.m. → Aug. 12, 2022, 1:45 p.m.)
- “Explainable AI as a Conventional Data Analysis Tool” by Maria Sahakyan (Aug. 12, 2022, 3:30 p.m. → Aug. 12, 2022, 2:30 p.m.)
- “How to start critical thinking in Data Science” by Arpine Sahakyan (Aug. 13, 2022, 4 p.m. → Aug. 13, 2022, 4:15 p.m.)
- “NetworkX - your unexcpected assistant for clustering analysis” by Meirav Ben Izhak (Aug. 13, 2022, 1:30 p.m. → Aug. 13, 2022, 2:25 p.m.)
- “BERT Model for Real World Healthcare Data” by Artem Terentyuk (Aug. 13, 2022, 2:15 p.m. → Aug. 13, 2022, 3:10 p.m.)
- “Decoding Human Physiological Behaviors from Intracranial Field Potentials” by Manana Hakobyan (Aug. 12, 2022, 5 p.m. → Aug. 12, 2022, 4:15 p.m.)
- “The structure and interpretation of ML metadata” by Gevorg Soghomonyan (Aug. 13, 2022, 11:45 a.m. → Aug. 13, 2022, 10:45 a.m.)
Version 0.11 July 4, 2022
We released a new schedule version!
We have a new session: “Visualizing and Analyzing Protein Structures with UCSF Chimera” by Christopher Markosian .
We had to move some sessions, so if you were planning on seeing them, check their new dates or locations:
- “Using Python for the PCR design or an easy way to data analysis in life science projects” by Ricardas Ralys (Aug. 12, 2022, 5 p.m. → Aug. 12, 2022, 5:05 p.m.)
- “Use AutoML to create high-quality models” by Aleksandr Patrushev (Aug. 12, 2022, 4:15 p.m. → Aug. 12, 2022, 4:20 p.m.)
Version 0.10 July 4, 2022
We released a new schedule version!
We have a new session: “Building your own Multiskill AI Assistant with DeepPavlov” by Daniel Kornev .
We had to move some sessions, so if you were planning on seeing them, check their new dates or locations:
- “Using Python for the PCR design or an easy way to data analysis in life science projects” by Ricardas Ralys (Aug. 12, 2022, 5:05 p.m. → Aug. 12, 2022, 5 p.m.)
- “Use AutoML to create high-quality models” by Aleksandr Patrushev (Aug. 12, 2022, 4:20 p.m. → Aug. 12, 2022, 4:15 p.m.)
Version 0.9 July 4, 2022
We released a new schedule version!
We had to move some sessions, so if you were planning on seeing them, check their new dates or locations:
- “Using Python for the PCR design or an easy way to data analysis in life science projects” by Ricardas Ralys (Aug. 12, 2022, 4:15 p.m. → Aug. 12, 2022, 5:05 p.m.)
- “Use AutoML to create high-quality models” by Aleksandr Patrushev (Aug. 12, 2022, 3:30 p.m. → Aug. 12, 2022, 4:20 p.m.)
Version 0.8 June 27, 2022
We released a new schedule version!
Version 0.7 June 21, 2022
We released a new schedule version!
We have a new session: “Using Python for the PCR design or an easy way to data analysis in life science projects” by Ricardas Ralys .
Version 0.6 June 14, 2022
We released a new schedule version!
We have a new session: “Use AutoML to create high-quality models” by Aleksandr Patrushev .
Version 0.5 June 11, 2022
Dear Speakers,
The schedule is on! We are looking forward to see you in Yerevan soon!
Best,
PyData Yerevan Organizing Team
Version 0.4 June 11, 2022
We released a new schedule version!
Version 0.3 June 10, 2022
We released a new schedule version!
We have new sessions!
- “Accelerated Machine Learning Systems End-to-End: From Data Stream to App”
- “PyTorch Geometric for Graph Neural Nets”
- “Near-Duplicate Ad Detection in Online Classified Ad Services”
We had to move some sessions, so if you were planning on seeing them, check their new dates or locations:
- “Using Few Shot Object Detection for Utility Pole detection from Google Street View images.” by Mark Hamazaspyan (Aug. 13, 2022, 3:15 p.m. → Aug. 13, 2022, 1:30 p.m.)
- “Exploratory Data Analysis and Feature Engineering with PySpark” by Yana Khalitova (Aug. 13, 2022, 1:30 p.m., 213W PAB → Aug. 13, 2022, 3:15 p.m., 214W PAB)
- “Modern Data Stack: Optimising and Scaling Data in a tech company” by Nacho Aranguren (213W PAB → 114W PAB)
- “Classical Texture Synthesis and Beyond” by Hovhannes Margaryan (Aug. 12, 2022, 3:30 p.m., 214W PAB → Aug. 12, 2022, 4:15 p.m., 213W PAB)
- “Decoding Human Physiological Behaviors from Intracranial Field Potentials” by Manana Hakobyan (Aug. 12, 2022, 4:15 p.m., 214W PAB → Aug. 12, 2022, 5 p.m., 213W PAB)
- “How to start critical thinking in Data Science” by Arpine Sahakyan (114W PAB → 213W PAB)
- “EENLP: Cross-lingual Eastern European NLP Index” by Andrey Manoshin (Aug. 12, 2022, 4:15 p.m., 114W PAB → Aug. 12, 2022, 5 p.m., 113W PAB)
- “Tiling & Parallel Processing of Large Images” by Anush Tosunyan (214W PAB → 213W PAB)
- “What can your Telegram tell about you? (Answer: Everything)” by Hayk Aprikyan (Aug. 12, 2022, 4:15 p.m., 213W PAB → Aug. 12, 2022, 5 p.m., 114W PAB)
Version 0.2 June 10, 2022
We released a new schedule version!
We have new sessions!
- “Cifar-10 Exploratory Data Analysis”
- “Grover’s quantum search for data science and why should we care”
- “Target based sentiment analysis with T5”
- “Exploratory Data Analysis and Feature Engineering with PySpark”
- “Modern Data Stack: Optimising and Scaling Data in a tech company”
- “The dangers of mindless forecasting”
- “Best practices for coding in ML/DS - Techniques to construct your project”
- “EENLP: Cross-lingual Eastern European NLP Index”
- “Tiling & Parallel Processing of Large Images”
- “Bachelor theses in Deep Learning: submitted to an Armenian University”
- “Recommendation Systems in Market Research”
- “AI-Powered Solutions for Cybersecurity”
- “Eating humble Py: From toy problem to real-world solution in predicting Customer Lifetime Value”
- “Large scale field delineation”
- “Accelerated Data Science Libraries”
- “NVIDIA NeMo: toolkit for conversational AI”
- “How to use Pandas efficiently”
- “Building a Lakehouse data platform using Delta Lake, PySpark, and Trino”
- “The structure and interpretation of ML metadata”
- “ML Platform for Insurance Conglomerate”
- “The Explainability Problem: Towards Understanding Artificial Intelligence”
- “Scaling Semi-Supervised Production-Grade ASR on 200 Languages”
- “Using Few Shot Object Detection for Utility Pole detection from Google Street View images.”
- “Moving Inference to Triton Servers”
- “Building a Streaming (E-health) Data Pipeline: When and How?”
- “Decoding Human Physiological Behaviors from Intracranial Field Potentials”
- “Sequential Attention-Based Neural Machine Translation”
- “Empirical determinacy of posterior location and scale in Bayesian hierarchical models”
- “Active Learning for 3D mesh semantic segmentation”
- “Large Scale Representation Learning In-the-wild”
- “Building Data Pipelines on AWS”
- “A/B testing in production”
- “Classical Texture Synthesis and Beyond”
- “Semantic Multimodal Multilingual Similarity engine”
- “Explainable AI as a Conventional Data Analysis Tool”
- “NetworkX - your unexcpected assistant for clustering analysis”
- “BERT Model for Real World Healthcare Data”
- “How to start critical thinking in Data Science”
- “What can your Telegram tell about you? (Answer: Everything)”
Version 0.1 June 7, 2022
We released our first schedule!