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3 changes: 3 additions & 0 deletions pydata-global-2020/category.json
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{
"title": "PyData Global 2020"
}
28 changes: 28 additions & 0 deletions pydata-global-2020/videos/aileen-nielsen-open-source-fairness-pydata-global-2020.json
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{
"description": "Talk \nFairness is a hot topic in AI/machine learning/technology these days, but there isn\u2019t much clear guidance on how to operationalize it into actual code. This talk will walk the audience through a few basic fairness algorithms and their open source implementations. We will also review recent developments in both the engineering and law of machine learning fairness.\n\nSpeaker\nAileen is a software engineer and data analyst with a data background that runs the gamut from experimental physics to healthcare startups to finance. She is the author of two O\u2019Reilly Media titles, Practical Time Series Analysis and Practical Fairness (forthcoming 2020), and frequently speaks and teaches at industry conferences around the world on her two areas of interest, time series forecasting and algorithmic fairness.\n\nwww.pydata.org\r\n\r\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. \r\n\r\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. 00:00 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": 2085,
"language": "eng",
"recorded": "2020-11-11",
"related_urls": [
{
"label": "Conference Website",
"url": "https://pydataglobal.github.io/"
},
{
"label": "https://github.com/numfocus/YouTubeVideoTimestamps",
"url": "https://github.com/numfocus/YouTubeVideoTimestamps"
}
],
"speakers": [
"Aileen Nielsen"
],
"tags": [],
"thumbnail_url": "https://i.ytimg.com/vi_webp/UWysLJ93h3k/maxresdefault.webp",
"title": "Open Source Fairness",
"videos": [
{
"type": "youtube",
"url": "https://www.youtube.com/watch?v=UWysLJ93h3k"
}
]
}
28 changes: 28 additions & 0 deletions ...2020/videos/akshay-bahadur-indian-sign-language-recognition-islar-pydata-global-2020.json
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{
"description": "Talk \nIndia is a diverse country with regional diversification in spoken languages and scripts that are well known and widely documented, apparently, this has percolated in sign language as well, essentially resulting in multiple sign languages across the country. To help overcome these inconsistencies and to standardize sign language, I have developed an Indian Sign Language Recognition System (ISLAR).\n\nSpeaker\nAkshay Bahadur\u2019s interest in computer science sparked when he was working on a women\u2019s safety application aimed towards the women\u2019s welfare in India and since then he has been incessantly tackling social issues in India through technology. He is currently working alongside Google to make an Indian sign language recognition system (ISLAR) specifically aimed at running on low resource environments for developing countries. His ambition is to make valuable contributions towards the ML community and leave a message of perseverance and tenacity.\n\nHe\u2019s one out of 8 Google Developers Expert (Machine Learning) from India along with being one of 150 members worldwide for the Intel Software Innovator program.\n\n\nwww.pydata.org\r\n\r\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. \r\n\r\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. 00:00 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": 488,
"language": "eng",
"recorded": "2020-11-11",
"related_urls": [
{
"label": "Conference Website",
"url": "https://pydataglobal.github.io/"
},
{
"label": "https://github.com/numfocus/YouTubeVideoTimestamps",
"url": "https://github.com/numfocus/YouTubeVideoTimestamps"
}
],
"speakers": [
"Akshay Bahadur"
],
"tags": [],
"thumbnail_url": "https://i.ytimg.com/vi_webp/XI2nXwzGTAk/maxresdefault.webp",
"title": "Indian Sign Language Recognition (ISLAR)",
"videos": [
{
"type": "youtube",
"url": "https://www.youtube.com/watch?v=XI2nXwzGTAk"
}
]
}
28 changes: 28 additions & 0 deletions ...laser-using-algorithm-x-to-reanalyse-the-last-uk-general-election-pydata-global-2020.json
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{
"description": "Talk \nDonald Knuth\u2019s Algorithm X is a tried-and-tested technique to find solutions for the \u2018Exact Cover\u2019 problem, e.g. Sudoku. We\u2019ll give a brief overview of this algorithm and use it to re-analyse the results from the last UK general election using alternative voting systems.\nwww.pydata.org\r\n\r\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. \r\n\r\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. 00:00 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": 1852,
"language": "eng",
"recorded": "2020-11-11",
"related_urls": [
{
"label": "Conference Website",
"url": "https://pydataglobal.github.io/"
},
{
"label": "https://github.com/numfocus/YouTubeVideoTimestamps",
"url": "https://github.com/numfocus/YouTubeVideoTimestamps"
}
],
"speakers": [
"Alex Glaser"
],
"tags": [],
"thumbnail_url": "https://i.ytimg.com/vi_webp/Myh7lepP9ss/maxresdefault.webp",
"title": "Using Algorithm X to reanalyse the last UK general election",
"videos": [
{
"type": "youtube",
"url": "https://www.youtube.com/watch?v=Myh7lepP9ss"
}
]
}
32 changes: 32 additions & 0 deletions ...global-2020/videos/alexander-hendorf-better-code-for-data-science-pydata-global-2020.json
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{
"description": "Talk \nThe coding quality must be improved in Data Science and AI. Though code in notebooks may provide some working solutions, too often it\u2019s hard to maintain, reuse or even to read for an outsider - apart from being inefficient. In this talk I will share a decade of Python experience and provide background, good practices and guidelines that enable everyone to write proper code for Data & AI.\n\nSpeaker \nAlexander\u2019 professional career was always about digitalization: starting from vinyl records in the nineties to advanced data analytics nowadays.\n\nHe\u2019s a PyData organiser (Frankfurt and S\u00fcdwest), a Python Software Foundation fellow, emeritus program chair of EuroPython, PyConDE & PyData Berlin 2019/20 and the scientific Python conference EuroSciPy. He\u2019s one of the 25 mongoDB masters and a regular contributor to the tech community. As regular speaker at international conferences in he love to talk about, discuss and train tech. Being a partner at K\u00f6nigsweg (https://koenisgweg.com) - a boutique Data Science and AI consultancy based in Mannheim, Germany - he\u2019s advising and training industry clients in AI, data science, data literacy and big data matters.\n\nwww.pydata.org\r\n\r\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. \r\n\r\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. 00:00 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": 2429,
"language": "eng",
"recorded": "2020-11-11",
"related_urls": [
{
"label": "Conference Website",
"url": "https://pydataglobal.github.io/"
},
{
"label": "https://github.com/numfocus/YouTubeVideoTimestamps",
"url": "https://github.com/numfocus/YouTubeVideoTimestamps"
},
{
"label": "https://koenisgweg.com",
"url": "https://koenisgweg.com"
}
],
"speakers": [
"Alexander Hendorf"
],
"tags": [],
"thumbnail_url": "https://i.ytimg.com/vi_webp/68L00cvYXXQ/maxresdefault.webp",
"title": "Better Code for Data Science",
"videos": [
{
"type": "youtube",
"url": "https://www.youtube.com/watch?v=68L00cvYXXQ"
}
]
}
28 changes: 28 additions & 0 deletions ...lobal-2020/videos/andrew-weeks-building-fairer-models-for-finance-pydata-global-2020.json
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{
"description": "Talks\nFairness and bias are rightly hot topics in ML because of their impact on people\u2019s lives. It\u2019s particularly important in finance, where bad decisions can limit the ability to participate in society. We look at how fairness can be defined, and how the law defines it. We explore how to detect bias, the trade off between bias and performance, and how to build fairer models that still perform well.\n\nSpeaker\nI\u2019m a product-focused data scientist at Aire, a fintech startup and credit reference agency. I\u2019ve been part of the startup scene in London for nearly a decade.\n\nAt Aire I\u2019ve been responsible for shaping products for the UK and US markets from an early stage, building credit risk models and other insights, and worked closely on our governance framework and fairness processes.\n\nI try to spend as much time as I can on understanding the problem. It\u2019s usually a lot messier and more complex than I realise, but it\u2019s key to building solutions that have a real impact!\n\nwww.pydata.org\r\n\r\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. \r\n\r\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. 00:00 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": 1819,
"language": "eng",
"recorded": "2020-11-11",
"related_urls": [
{
"label": "Conference Website",
"url": "https://pydataglobal.github.io/"
},
{
"label": "https://github.com/numfocus/YouTubeVideoTimestamps",
"url": "https://github.com/numfocus/YouTubeVideoTimestamps"
}
],
"speakers": [
"Andrew Weeks"
],
"tags": [],
"thumbnail_url": "https://i.ytimg.com/vi_webp/TQjJdHA4Kfg/maxresdefault.webp",
"title": "Building fairer models for finance",
"videos": [
{
"type": "youtube",
"url": "https://www.youtube.com/watch?v=TQjJdHA4Kfg"
}
]
}
28 changes: 28 additions & 0 deletions pydata-global-2020/videos/andy-terrel-how-to-review-a-model-pydata-global-2020.json
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{
"description": "Talk \nModels have become the high risk credit card of technical debt. In this talk, we discuss how to pay down that credit card with good model review practices\n\n\nwww.pydata.org\r\n\r\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. \r\n\r\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. 00:00 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": 2143,
"language": "eng",
"recorded": "2020-11-11",
"related_urls": [
{
"label": "Conference Website",
"url": "https://pydataglobal.github.io/"
},
{
"label": "https://github.com/numfocus/YouTubeVideoTimestamps",
"url": "https://github.com/numfocus/YouTubeVideoTimestamps"
}
],
"speakers": [
"Andy Terrel"
],
"tags": [],
"thumbnail_url": "https://i.ytimg.com/vi_webp/IwE6S2dvgfQ/maxresdefault.webp",
"title": "How to review a model",
"videos": [
{
"type": "youtube",
"url": "https://www.youtube.com/watch?v=IwE6S2dvgfQ"
}
]
}
28 changes: 28 additions & 0 deletions ...nkit-mahato-supercharge-scientific-computing-in-python-with-numba-pydata-global-2020.json
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{
"description": "Talk \nPython is the goto language for computational research, but often we are hit by the performance bottleneck of this language. In this talk, we will delve into 3 real-world computational exercises to introduce the core concepts, ease & effectiveness of using Numba, a JIT compiler that translates Python & NumPy code into fast machine code. Let\u2019s supercharge our scientific computing research today!\n\nSpeaker\nA die hard Pythonista, Ankit is an open source contributor and a former Google Summer of Code scholar under Python Software Foundation. Currently, he is working in the domain of scientific computing and Machine Learning in IoT devices.\n\nAnkit has 6 years of industrial experience (Associate - JP Morgan, Data Scientist & Product Manager - Fuzzy Logix, USA) in machine learning, quantitative modelling, data analytics and visualization. Over the years, he has developed an expertise in handling the entire data analytics pipeline comprising \u2013 ingestion, exploration, transformation, modeling and deployment. He is a polyglot programmer with an extensive knowledge of algorithms, statistics and parallel programming. He has shipped multiple releases of DB Lytix, a comprehensive library of over 800 mathematical and statistical functions used widely in data mining, machine learning and analytics applications, including \u201cbig data analytics\u201d.\n\nAn IIT Kanpur alumnus, Ankit is also an active researcher with publications on scientific computing in international journal and conferences. He is actively working in the domain of Analytics and has presented his work in:\n\nPyCon India 2019 (Talk)\n5th International Conference on Data Science and Engineering 2019\nData Science Congress 2018\n5th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence 2017\nSciPy India 2017 (Talk) \nHe is also an active contributor to the Indian Python Community and has conducted 5 workshops in PyCon India 2017 & 2019 and Scipy India 2017, 2018 & 2019.\nPublications - Link \nLinkedIn - Link \nAcclaim Badges - Link\n\nwww.pydata.org\r\n\r\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. \r\n\r\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. 00:00 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": 1291,
"language": "eng",
"recorded": "2020-11-11",
"related_urls": [
{
"label": "Conference Website",
"url": "https://pydataglobal.github.io/"
},
{
"label": "https://github.com/numfocus/YouTubeVideoTimestamps",
"url": "https://github.com/numfocus/YouTubeVideoTimestamps"
}
],
"speakers": [
"Ankit Mahato"
],
"tags": [],
"thumbnail_url": "https://i.ytimg.com/vi_webp/mDsTkg_IpUk/maxresdefault.webp",
"title": "Supercharge Scientific Computing in Python with Numba",
"videos": [
{
"type": "youtube",
"url": "https://www.youtube.com/watch?v=mDsTkg_IpUk"
}
]
}
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