Language:
English
Pages:
1 online resource (1 video file, approximately 49 hr., 17 min.)
Edition:
1st edition
Keywords:
Electronic videos ; local
Abstract:
Royalties for this video set help fund ODSC community initiatives such as grants to open source projects, our diversity program, student travel grants, and other initiatives. The Open Data Science Conference has established itself as the leading conference in the field of applied data science. Each ODSC event offers a unique opportunity to learn directly from the core contributors, experts, academics and renowned instructors helping shape the field of data science and artificial intelligence Presentations cover not only data science modeling but also the languages and tools needed to deploy these models in the real world such as TensorFlow, MXNet, scikit-learn, Kubernetes, and many more. Our conferences are organized around focus areas to ensure our attendees are at the forefront of this fast emerging field and current with the latest data science languages, tools, and models. You’ll find in our East 2018 video catalog some of our most popular focus areas including: Deep Learning and Machine Learning Over the last 5 years, we have seen incredible advances in the field of data scientist thanks to breakthroughs in neural networks, transfer learning, reinforcement learning, and generative adversarial networks (GANs) to name a few. With the advent of Google Voice, Alexa, and other voice assistants, presentations on enabling technologies like NLP, RNNs, and LSTM are popular. Some session to note: OS for AI: How Serverless Computing Enables the Next Gen of ML—Jon Peck pomegranate: Fast and Flexible Probabilistic Modeling in Python—Jacob Schreiber Data Wrangling to Provide Solar Energy Access Across Africa—Brianna Schuyler, PhD The past, present, and future of Automated Machine Learning—Randy Olson, PhD Minimizing and Preventing Bias in AI—Frances Haugen Deep Learning on Mobile—Anirudh Koul State of the Art Natural Language Understanding at Scale—David Talby, PhD Latest Developments in GANS—Seth Weidman How to Reason About Stateful Streaming Machine Learning Serving—Lessons from Production—Patrick Boueri An Introduction to Active Learning—Jennifer Prendki, PhD How to use Satellite Imagery to be a Machine Learning Mantis Shrimp—Sean Patrick Gorman, PhD Core Data Science and Data Visualization As data science advances at a rapid pace, core skills are more important than ever. Our sessions range from beginner to advanced level for core topics. Additionally, data and models need to be actionable and data visualization remains a key skill in any data sci...
Note:
Online resource; Title from title screen (viewed July 15, 2019)
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