Add Pydata Hamburg 2021

pydata-hamburg-2021/category.json

@@ -0,0 +1,3 @@
+{
+  "title": "PyData Hamburg 2021"
+}

pydata-hamburg-2021/videos/a-loan-defaulter-prediction-model-nandita-sharma-pydata-hamburg-may-2021-1-2.json

@@ -0,0 +1,32 @@
+{
+  "description": "In this May Meetup we have two inspiring talks on Machine Learning.\n\nThis edition was sponsored by IBM: IBM funds open source development through NumFocus while Tim Bonnemann provides a brief introduction to the IBM data science community.\n\nPart 2: AutoML with Paco Nathan: https://youtu.be/7oW49Ulr4cY\n\nEnjoy the talks!\nYour PyData Hamburg Crew\n\n--------\n\n# (Talk 1) Nandita Sharma: A Loan Defaulter Prediction Model\n\nIn this talk, Nandita will explain how machine learning techniques play a prominent role in detecting the likelihood of defaulting in advance - by developing an understanding of customers' behavioral patterns before granting a loan. Join this talk to understand how AI helps banks solve and understand their liquidity risk and financial abilities while gaining and retaining current customers.\n\nAbout Nandita: Nandita is Data Scientist and Data Analyst, passionate about AI, neural networks & deep learning. She works at the National College of Ireland as an Assistance Teacher, where she teaches and mentors 80+ students for machine learning projects. In her free time, she loves to learn new things, dancing, painting & baking.\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": 2938,
+  "language": "eng",
+  "recorded": "2021-03-03",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://www.meetup.com/pydata-hamburg/"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    },
+    {
+      "label": "https://youtu.be/7oW49Ulr4cY",
+      "url": "https://youtu.be/7oW49Ulr4cY"
+    }
+  ],
+  "speakers": [
+    "Nandita Sharma"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi_webp/aUKaLlcNHLA/maxresdefault.webp",
+  "title": "A Loan Defaulter Prediction Model",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=aUKaLlcNHLA"
+    }
+  ]
+}

pydata-hamburg-2021/videos/automl-paco-nathan-pydata-hamburg-may-2021.json

@@ -0,0 +1,32 @@
+{
+  "description": "In this May Meetup we have two inspiring talks on Machine Learning.\n\nThis edition was sponsored by IBM: IBM funds open source development through NumFocus while Tim Bonnemann provides a brief introduction to the IBM data science community.\n\nPart 1: A Load Defaulter Prediction Model - with Nadita Sharma: https://youtu.be/aUKaLlcNHLA\n\nEnjoy the talks!\nYour PyData Hamburg Crew\n\n--------\n\n# (Talk 2) Paco Nathan: AutoML\n\nAutoML is a very active area of AI research in academia as well as R&D work in industry. The public cloud vendors each promote some form of AutoML service. Tech unicorns have been developing AutoML services for their data platforms. Many different open source projects are available, which provide interesting new approaches. But what does AutoML mean?\n\nOstensibly automated machine learning will help put ML capabilities into the hands of non-experts, help improve the efficiency of ML workflows, and accelerate AI research overall. While in the long-term AutoML services promise to automate the end-to-end process of applying ML in real-world business use cases, what are the capabilities and limitations in the near-term?\n\nAbout Paco: Known as a \"player/coach\", with core expertise in data science, natural language, cloud computing; ~40 years tech industry experience, ranging from Bell Labs to early-stage start-ups. Advisor for Amplify Partners, IBM Data Science Community, Recognai, KUNGFU.AI, Primer. Lead committer PyTextRank, kglab. Formerly: Director, Community Evangelism @ Databricks and Apache Spark. Cited in 2015 as one of the Top 30 People in Big Data and Analytics by Innovation Enterprise.\n\n\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. 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": 2875,
+  "language": "eng",
+  "recorded": "2021-03-03",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://www.meetup.com/pydata-hamburg/"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    },
+    {
+      "label": "https://youtu.be/aUKaLlcNHLA",
+      "url": "https://youtu.be/aUKaLlcNHLA"
+    }
+  ],
+  "speakers": [
+    "Paco Nathan"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi_webp/7oW49Ulr4cY/maxresdefault.webp",
+  "title": "AutoML",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=7oW49Ulr4cY"
+    }
+  ]
+}

pydata-hamburg-2021/videos/from-rgb-d-images-to-complete-point-clouds-pydata-hamburg-march-2021-1-2.json

@@ -0,0 +1,29 @@
+{
+  "description": "# (Talk 1) Stefanie Stoppel & Angelie Kraft: From RGB-D images to complete point clouds\n\nImagine you own a household robot that cleans, cooks and does errands for you. When you tell it to go fetch your favorite coffee mug, the robot not only needs to know what that mug looks like in order to locate it in your apartment, but it should also anticipate its full 3D shape in order to grasp it and bring it to you. We are going to highlight the first steps we took in order to transfer some of these abilities to robotic grasping, by creating an end-to-end Deep Learning pipeline that takes an RGB-D image of an object as input and infers its complete 3D representation in the form of a point cloud.\n\nStefanie is currently pursuing a Master\u2019s degree to become a Machine Learning Engineer. She likes automating ML workflows and cares about bias, fairness & explainability in AI.\n\nAngelie is currently working on her Master's thesis on Bias Mitigation in Natural Language Processing. She is also co-founder of the young start-up AdaLab.ai which provides customers from research and industry with state-of-the-art ML solutions.\n\n-------------------------------------------\nFollow us on Twitter: @PyDataHamburg\n\nPyData is a community for developers and users of open source data tools. PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. The PyData Code of Conduct governs this meetup. 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": 2711,
+  "language": "eng",
+  "recorded": "2021-03-03",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://www.meetup.com/pydata-hamburg/"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    }
+  ],
+  "speakers": [
+    "Stefanie Stoppel",
+    "Angelie Kraft"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi_webp/5uWYjA1M-zw/maxresdefault.webp",
+  "title": "From RGB-D images to complete point clouds",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=5uWYjA1M-zw"
+    }
+  ]
+}

pydata-hamburg-2021/videos/pydata-hamburg-nlp-jan-21-transfer-learning-in-nlp-nlp-based-customer-automation-at-hapag-lloyd.json

@@ -0,0 +1,34 @@
+{
+  "description": "We start 2021 with Natural Language Processing (NLP) and we are thrilled to host this meetup together with Hamburg NLP (https://www.meetup.com/Hamburg-Natural-Language-Processing-Meetup-Gruppe/). Your hosts are Christian Staudt, Gianluca Speranza and Kai Matzutt.\n\nFollow us on Twitter: @PyDataHamburg \n\n-------------------------------------------\n\n# (Talk 1) Phu Mon Htut : Transfer Learning in NLP: Tools and Tips\n\nIn recent years, pre-trained language models, such as Google's BERT, combined with transfer learning methods have enabled us to achieve the state-of-the-art in many natural language processing tasks. In this talk, I'll give an overview of the pre-trained language models and transfer learning methods in NLP. I'll then introduce open-source tools designed for transfer learning of NLP tasks and tips on using them.\n\nPhu is a Ph.D. candidate at New York University working on applying transfer learning methods to NLP problems and linguistic analysis of these methods for interpretability.\n\n-------------------------------------------\n\n# (Talk 2) Sebastian Nichtern & Adrian Baetu: NLP based Customer Service Automation at scale\n\nWe all hear about the great revolution of AI and NLP ahead. Still, we see most companies struggle leveraging the benefits of such technologies. In this talk we will take you on a difficult but successful journey to Hapag-Lloyd\u2019s first productive NLP solution, that is currently allocating over 20.000 mails every single day.\n\nSebastian is a Senior Data Scientist working for Ginkgo Analytics as a consultant and specialist in applied Machine Learning.\n\nAdrian is a team lead in the AI Center of Excellence Hapag-Lloyd that is currently being established in Gdansk.\n-------------------------------------------\n\nPyData is a community for developers and users of open source data tools. PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. The PyData Code of Conduct governs this meetup. 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": 7056,
+  "language": "eng",
+  "recorded": "2021-02-09",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://www.meetup.com/pydata-hamburg/"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    },
+    {
+      "label": "https://www.meetup.com/Hamburg-Natural-Language-Processing-Meetup-Gruppe/",
+      "url": "https://www.meetup.com/Hamburg-Natural-Language-Processing-Meetup-Gruppe/"
+    }
+  ],
+  "speakers": [
+    "Phu Mon Htut",
+    "Sebastian Nichtern",
+    "Adrian Baetu"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi/n-jYfvmghEk/sddefault.jpg",
+  "title": "Transfer Learning in NLP & NLP-based Customer Automation at Hapag-Lloyd",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=n-jYfvmghEk"
+    }
+  ]
+}

pydata-hamburg-2021/videos/pydata-hamburg-nov-20-samantha-zeitlin-python-on-gcp-vs-aws-alessandro-romano-aws-cdk.json

@@ -0,0 +1,29 @@
+{
+  "description": "PyData Hamburg Meetup November 2020: Head in the Clouds\n\nThis meetup is all about the cloud. Our two speakers from Hamburg and San Francisco will get you started with Python on the major cloud platforms and turning your infrastructure into code.\n\nfollow us on Twitter:  @PyDataHamburg \n-------------------------------------------\n\n# (Talk 1) Samantha Zeitlin: Snakes on a Cloud - Python on Google Cloud Platform vs. Amazon Web Services\n\nInfrastructure as code is far more maintainable than configuring everything manually. But working in the cloud means learning the eccentricities of many separate services. Samantha will share lessons learned from using both AWS and GCP, comparing major differences between similar services and sharing example code illustrating some pros and cons.\n\nSamantha is a data scientist and engineer who lives in San Francisco.\n\n-------------------------------------------\n\n# (Talk 2) Alessandro Romano: AWS CDK - provision your cloud application using Python\n\nThe Amazon Web Services Cloud Development Kit makes it possible to define the stack of a cloud application through a programming language (eg. Python). It's the implementation of the process \"Infrastructure as a code\" and is built on the top of Cloud Formation. It helps us boosting the creation and deployment of a cloud application without diving into complex CF configuration files.\n\nAlessandro is a data scientist working for a logistics company called Cargonexx. He is always searching for a better way to automate complex processes and make life easier for data scientists.\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": 7968,
+  "language": "eng",
+  "recorded": "2020-11-30",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://www.meetup.com/pydata-hamburg/"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    }
+  ],
+  "speakers": [
+    "Samantha Zeitlin",
+    "Alessandro Romano"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi/7uw2sxy4GHU/maxresdefault.jpg",
+  "title": "Snakes on the Cloud: Python on GCP vs AWS",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=7uw2sxy4GHU"
+    }
+  ]
+}

pydata-hamburg-2021/videos/where-are-the-earth-s-streams-flowing-right-now-pydata-hamburg-march-2021-2-2.json

@@ -0,0 +1,37 @@
+{
+  "description": "# (Talk 2) Ron Hagensieker & Freddie Kalaitzis: Where are the Earth's streams flowing right now? - Dynamic hydrology maps from satellite-LiDAR fusion\n\nThe audience will learn about Very High Resolution satellite imagery and LiDAR, and the fusion of these sensor data through multi-sensor U-Nets, for the mapping of flowing networks at the continental scale, every day, stacking the times series maps over many years. The end result is a new map that could fundamentally improve how we manage our water resources around the world.\n\nPix2Streams reprint:\nhttps://arxiv.org/abs/2011.07584\n(accepted as a spotlight oral talk at the AI for Earth Sciences Workshop, NeurIPS 2020)\n\nPix2Streams demo:\nhttps://drive.google.com/file/d/1IOXFfM1hY0QnZp1j5xQO1gviKwL2FtSP/view\n\nRon is a machine learning engineer and remote sensing scientist. His work in remote sensing covers a wide range in applications and methods, ranging from deforestation to naval monitoring; classic segmentation to experimental generative methods; multi-spectral to Synthetic Aperture Radar.\n\nFreddie is a part-time Senior Research Fellow, and Theme Lead of ML for Earth Observation and Remote Sensing, in the Oxford Applied and Theoretical Machine Learning lab of Oxford University. He's also an ML & Project Lead at NASA's Frontier Development Lab (FDL), and the ML Lead of Trillium Technologies , the R&D production company behind FDL.\n\n-------------------------------------------\nFollow us on Twitter: @PyDataHamburg\n\nPyData is a community for developers and users of open source data tools. PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. The PyData Code of Conduct governs this meetup. 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": 3464,
+  "language": "eng",
+  "recorded": "2021-03-03",
+  "related_urls": [
+    {
+      "label": "Conference Website",
+      "url": "https://www.meetup.com/pydata-hamburg/"
+    },
+    {
+      "label": "https://github.com/numfocus/YouTubeVideoTimestamps",
+      "url": "https://github.com/numfocus/YouTubeVideoTimestamps"
+    },
+    {
+      "label": "https://arxiv.org/abs/2011.07584",
+      "url": "https://arxiv.org/abs/2011.07584"
+    },
+    {
+      "label": "https://drive.google.com/file/d/1IOXFfM1hY0QnZp1j5xQO1gviKwL2FtSP/view",
+      "url": "https://drive.google.com/file/d/1IOXFfM1hY0QnZp1j5xQO1gviKwL2FtSP/view"
+    }
+  ],
+  "speakers": [
+    "Ron Hagensieker",
+    "Freddie Kalaitzis"
+  ],
+  "tags": [],
+  "thumbnail_url": "https://i.ytimg.com/vi_webp/9KWwkWska58/maxresdefault.webp",
+  "title": "Where are the Earth's streams flowing right now?",
+  "videos": [
+    {
+      "type": "youtube",
+      "url": "https://www.youtube.com/watch?v=9KWwkWska58"
+    }
+  ]
+}