Add Pydata Yerevan 2022

pydata-yerevan-2022/category.json

@@ -0,0 +1,3 @@
+{
+  "title": "PyData Yerevan 2022"
+}

pydata-yerevan-2022/videos/aghasi-tavadyan-the-dangers-of-mindless-forecasting-pydata-yerevan-2022.json

@@ -0,0 +1,47 @@
+{
+  "description": "Aghasi Tavadyan Presents:\n\nThe Dangers of Mindless Forecasting\n\n\"Prediction is very difficult, especially if it\u2019s about the future!\" This phrase is attributed to Niels Bohr, the Nobel laureate in Physics and father of the atomic model. This quote warns about the unreliability of forecasts without proper testing and about constant changes in the initial assumed conditions.\n\nWith modern programming languages and convenient packages that provide ready-made modeling solutions, it is often easy to find a model that fits the past data well; perhaps too well! But does the maximization of metrics justify the means? Should the complex structures of predictions be built on the quicksand of noisy data?\n\nThis talk is a laid-back discussion that will be useful for the audience from any background, from beginner to advanced. Aghasi Tavadyan is the founder of Tvyal.com, which translates to \"data\" from Armenian. You can find more info about him following these websites: tavadyan.com, tvyal.com.\n\nPresentation Slides: https://pydatayerevan.aua.am/files/2022/09/Aghasi-Tavadyan.pptx\n\nwww.pydata.org\n\nPyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. \n\nPyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.\n\n00:00 Welcome!\n00:10 Help us add time stamps or captions to this video! See the description for details.\n\nWant to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps",
+  "duration": 1930,
+  "language": "eng",
+  "recorded": "2022-08-12",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/yerevan2022/"
+    },
+    {
+      "label": "https://pydatayerevan.aua.am/files/2022/09/Aghasi-Tavadyan.pptx",
+      "url": "https://pydatayerevan.aua.am/files/2022/09/Aghasi-Tavadyan.pptx"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    }
+  ],
+  "speakers": [
+    "TODO"
+  ],
+  "tags": [
+    "Education",
+    "Julia",
+    "NumFOCUS",
+    "Opensource",
+    "PyData",
+    "Python",
+    "Tutorial",
+    "coding",
+    "how to program",
+    "learn",
+    "learn to code",
+    "python 3",
+    "scientific programming",
+    "software"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/NGYR_f8HlQg/maxresdefault.jpg",
+  "title": "Aghasi Tavadyan - The Dangers of Mindless Forecasting | PyData Yerevan 2022",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=NGYR_f8HlQg"
+    }
+  ]
+}

pydata-yerevan-2022/videos/aleksandr-patrushev-use-automl-to-create-high-quality-models-pydata-yerevan-2022.json

@@ -0,0 +1,47 @@
+{
+  "description": "Aleksandr Patrushev Presents:\n\nUse AutoML to Create High-Quality Models\n\nAWS provides a range of AutoML solutions for all levels of expertise. In this session, we will cover AutoGluon, a library for ML practitioners seeking an open source solution, and Amazon SageMaker tool for data scientists who prefer a fully-managed service. Developers or business users without ML experience can take advantage of ready-made solutions for use cases such as computer vision, demand forecasting, intelligent search, and industrial and healthcare verticals.\n\nPresentation Slides: https://pydatayerevan.aua.am/files/2022/09/Aleksandr-Patrushev.pdf\n\nwww.pydata.org\n\nPyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. \n\nPyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.\n\n00:00 Welcome!\n00:10 Help us add time stamps or captions to this video! See the description for details.\n\nWant to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps",
+  "duration": 2464,
+  "language": "eng",
+  "recorded": "2022-08-12",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/yerevan2022/"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    },
+    {
+      "label": "https://pydatayerevan.aua.am/files/2022/09/Aleksandr-Patrushev.pdf",
+      "url": "https://pydatayerevan.aua.am/files/2022/09/Aleksandr-Patrushev.pdf"
+    }
+  ],
+  "speakers": [
+    "TODO"
+  ],
+  "tags": [
+    "Education",
+    "Julia",
+    "NumFOCUS",
+    "Opensource",
+    "PyData",
+    "Python",
+    "Tutorial",
+    "coding",
+    "how to program",
+    "learn",
+    "learn to code",
+    "python 3",
+    "scientific programming",
+    "software"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/q-gFWt1Msrc/maxresdefault.jpg",
+  "title": "Aleksandr Patrushev - Use AutoML to Create High-Quality Models | PyData Yerevan 2022",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=q-gFWt1Msrc"
+    }
+  ]
+}

pydata-yerevan-2022/videos/alex-laptev-nvidia-nemo-toolkit-for-conversational-ai-pydata-yerevan-2022.json

@@ -0,0 +1,47 @@
+{
+  "description": "Alex Laptev Presents:\n\nNVIDIA NeMo: Toolkit for Conversational AI \n\nConversational AI is a technology that allows a \u201cmachine\u201d to speak to a person in a natural language. NVIDIA NeMo is an open-source conversational AI toolkit built for researchers working on automatic speech recognition (ASR), natural language processing (NLP), and text-to-speech synthesis (TTS). The primary objective of NeMo is to help researchers from industry and academia to develop new models for automatic speech recognition, text-to-speech, natural language processing, and neural machine translation. Nemo also has a large number of step-by-step tutorials and pre-trained models.\n\nThe outline of the talk goes as follows:\n1. NeMo overview.\n2. Where to start: tutorials on ASR, TTS, and NLP.\n3. NeMo ASR overview.\n4. NeMo TTS overview.\n5. NeMo NLP overview.\n6. From research to production: deploying NeMo models.\n\nPresentation Slides: https://pydatayerevan.aua.am/files/2022/09/Alex-Laptev.pptx\n\nwww.pydata.org\n\nPyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. \n\nPyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.\n\n00:00 Welcome!\n00:10 Help us add time stamps or captions to this video! See the description for details.\n\nWant to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps",
+  "duration": 2174,
+  "language": "eng",
+  "recorded": "2022-08-12",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/yerevan2022/"
+    },
+    {
+      "label": "https://pydatayerevan.aua.am/files/2022/09/Alex-Laptev.pptx",
+      "url": "https://pydatayerevan.aua.am/files/2022/09/Alex-Laptev.pptx"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    }
+  ],
+  "speakers": [
+    "TODO"
+  ],
+  "tags": [
+    "Education",
+    "Julia",
+    "NumFOCUS",
+    "Opensource",
+    "PyData",
+    "Python",
+    "Tutorial",
+    "coding",
+    "how to program",
+    "learn",
+    "learn to code",
+    "python 3",
+    "scientific programming",
+    "software"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/J-P6Sczmas8/hqdefault.jpg?sqp=-oaymwEmCOADEOgC8quKqQMa8AEB-AH-CYAC0AWKAgwIABABGEEgXyhlMA8=&rs=AOn4CLAHMJorD1oa5sv5TUXkVDclkHA5fA",
+  "title": "Alex Laptev - NVIDIA NeMo: Toolkit for Conversational AI | PyData Yerevan 2022",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=J-P6Sczmas8"
+    }
+  ]
+}

pydata-yerevan-2022/videos/andrey-manoshin-hayk-aprikyan-lightning-talks-pydata-yerevan-2022.json

@@ -0,0 +1,51 @@
+{
+  "description": "Andrey Manoshin Presents:\n\nEENLP: Cross-lingual Eastern European NLP Index\n\nIn our project we present a wide index of existing Eastern European language datasets (90+) and models (60+). Furthermore, to support the evaluation of commonsense reasoning tasks, we compile and publish cross-lingual datasets for five such tasks and provide evaluation results for several existing multilingual models.\n\nPresentation Slides: https://pydatayerevan.aua.am/files/2022/09/Andrey-Manoshin.pdf\n--\nHayk Aprikyan Presents:\n\nWhat can your Telegram tell about you? (Answer: Everything)\n\nHow much has your vocabulary changed over the last year? Who shares the funniest memes with you? And does she find you interesting to chat with? \u0336N\u0336o\u0336p\u0336e\u0336.\u0336\n\nIf you're a Telegram guy, Neplo is that painstakingly data-driven guy who's got answers to these (and hundreds of other) questions based on your Telegram chat histories.\n\nStill skeptical? Come and see. (John 1:39)\n\nPresentation Slides: https://pydatayerevan.aua.am/files/2022/09/Hayk-Aprikyan.pdf\n\nwww.pydata.org\n\nPyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. \n\nPyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.\n\n00:00 Welcome!\n00:10 Help us add time stamps or captions to this video! See the description for details.\n\nWant to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps",
+  "duration": 2095,
+  "language": "eng",
+  "recorded": "2022-08-12",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/yerevan2022/"
+    },
+    {
+      "label": "https://pydatayerevan.aua.am/files/2022/09/Hayk-Aprikyan.pdf",
+      "url": "https://pydatayerevan.aua.am/files/2022/09/Hayk-Aprikyan.pdf"
+    },
+    {
+      "label": "https://pydatayerevan.aua.am/files/2022/09/Andrey-Manoshin.pdf",
+      "url": "https://pydatayerevan.aua.am/files/2022/09/Andrey-Manoshin.pdf"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    }
+  ],
+  "speakers": [
+    "TODO"
+  ],
+  "tags": [
+    "Education",
+    "Julia",
+    "NumFOCUS",
+    "Opensource",
+    "PyData",
+    "Python",
+    "Tutorial",
+    "coding",
+    "how to program",
+    "learn",
+    "learn to code",
+    "python 3",
+    "scientific programming",
+    "software"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi_webp/y7_MlSSh7Co/maxresdefault.webp",
+  "title": "Andrey Manoshin, Hayk Aprikyan | Lightning Talks | PyData Yerevan 2022",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=y7_MlSSh7Co"
+    }
+  ]
+}

pydata-yerevan-2022/videos/anna-shahinyan-cifar-10-exploratory-data-analysis-pydata-yerevan-2022.json

@@ -0,0 +1,47 @@
+{
+  "description": "Anna Shahinyan Presents:\n\nCifar-10 Exploratory Data Analysis\n\nImage classification datasets are completed from the analysis point of view, taking into account the complicated structure of images. However, the understanding of the dataset descriptors at the high level can add debugging facilities and, in early stage, predict the quality of the classification model. During this session, we will visually analyze one of the challenging SOTA datasets like Cifar-10.\nThe datasets in AI used to contain 1000+ images. Images are matrices, and the handling of available features, missing features that can lead to AI model overfitting or underfitting. Based on visualization will predict whether we can reduce the dataset and come up with a smaller set and predict its impact on the final AI model.\n\nPresentation Slides: https://pydatayerevan.aua.am/files/2022/09/Anna_Shahinyan_16_9_pydata_2022.pdf\n\nwww.pydata.org\n\nPyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. \n\nPyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.\n\n00:00 Welcome!\n00:10 Help us add time stamps or captions to this video! See the description for details.\n\nWant to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps",
+  "duration": 1656,
+  "language": "eng",
+  "recorded": "2022-08-12",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/yerevan2022/"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    },
+    {
+      "label": "https://pydatayerevan.aua.am/files/2022/09/Anna_Shahinyan_16_9_pydata_2022.pdf",
+      "url": "https://pydatayerevan.aua.am/files/2022/09/Anna_Shahinyan_16_9_pydata_2022.pdf"
+    }
+  ],
+  "speakers": [
+    "TODO"
+  ],
+  "tags": [
+    "Education",
+    "Julia",
+    "NumFOCUS",
+    "Opensource",
+    "PyData",
+    "Python",
+    "Tutorial",
+    "coding",
+    "how to program",
+    "learn",
+    "learn to code",
+    "python 3",
+    "scientific programming",
+    "software"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/UfJh_5ea0EQ/maxresdefault.jpg",
+  "title": "Anna Shahinyan - Cifar-10 Exploratory Data Analysis | PyData Yerevan 2022",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=UfJh_5ea0EQ"
+    }
+  ]
+}

pydata-yerevan-2022/videos/anush-tosunyan-tiling-parallel-processing-of-large-images-pydata-yerevan-2022.json

@@ -0,0 +1,47 @@
+{
+  "description": "Anush Tosunyan Presents:\n\nTiling & Parallel Processing of Large Images \n\nDuring this session, we will review the benefits of processing large imageries by tiles, review use cases, and later combination of results. \nAs previously mentioned we will review the benefits of tile level processing for large imageries, going further into some use cases seen in data analysis, software engineering, and ML models(such as classification and segmentation). We will review how the tile data was later combined for each use case separately, and what were the benefits we saw from adopting this approach.\n\nPresentation Slides: https://pydatayerevan.aua.am/files/2022/09/Anush-Tosunyan.pdf\n\nwww.pydata.org\n\nPyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. \n\nPyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.\n\n00:00 Welcome!\n00:10 Help us add time stamps or captions to this video! See the description for details.\n\nWant to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps",
+  "duration": 1468,
+  "language": "eng",
+  "recorded": "2022-08-12",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://pydata.org/yerevan2022/"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    },
+    {
+      "label": "https://pydatayerevan.aua.am/files/2022/09/Anush-Tosunyan.pdf",
+      "url": "https://pydatayerevan.aua.am/files/2022/09/Anush-Tosunyan.pdf"
+    }
+  ],
+  "speakers": [
+    "TODO"
+  ],
+  "tags": [
+    "Education",
+    "Julia",
+    "NumFOCUS",
+    "Opensource",
+    "PyData",
+    "Python",
+    "Tutorial",
+    "coding",
+    "how to program",
+    "learn",
+    "learn to code",
+    "python 3",
+    "scientific programming",
+    "software"
+  ],
+  "thumbnail_url": "https://i.ytimg.com/vi/bf11u4o8tEw/hqdefault.jpg?sqp=-oaymwEmCOADEOgC8quKqQMa8AEB-AH-CYAC0AWKAgwIABABGGUgYihWMA8=&rs=AOn4CLAYt07v1EZGR8A4atLIr9-CYdns9Q",
+  "title": "Anush Tosunyan - Tiling & Parallel Processing of Large Images | PyData Yerevan 2022",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=bf11u4o8tEw"
+    }
+  ]
+}