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+--- Thread: ODSC West 2018 (Open Data Science Conference) (/Thread-odsc-west-2018-open-data-science-conference--27391)
ODSC West 2018 (Open Data Science Conference) - aretr - 07-30-2019
![[Image: 67fb9bb2f7e9fea104dc1ea9e1a0e332.jpg]](https://i106.fastpic.ru/big/2019/0724/32/67fb9bb2f7e9fea104dc1ea9e1a0e332.jpg)
ODSC West 2018 (Open Data Science Conference)
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 49 Hours 17M | 13.6 GB
Genre: eLearning | Language: English
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 scientist's toolkit. Some session of note include:
Panel: Visual Search: The Next Frontier of Search-Clayton Mellina
Visualizing Vectors: Basics Every Data Scientist Should Know-Jed Crosby
Revolutionizing Visual Commerce-Robinson Piramuthu
Scaling Interactive Data Science and AI with Ray-Richard Liaw
The Platform and Process of Agile Data Science-Sarah Aerni, PhD
The AI Engineer: A Foot in Two Worlds-Guy Royse
Data Science, Management, And Business
Data science is permeating every industry as adoption gathers pace. The management and practice of data science will become increasingly strategically important to all industries including finance and healthcare. Hear from leading experts on important topics including:
Managing Effective Data Science Teams-Conor Jensen
A Manager's Guide to Starting a Computer Vision Program-Ali Vanderveld, PhD
Word Play: Understanding the Mechanics and Business Value of Speech Technologies-Omar Tawakol
Just How Much Data Is Required to Make Autonomous Vehicles Truly Road-Ready?-Alexandr Wang
How to Democratize Artificial Intelligence in Your Business-Olivier Blais
Reality Check: Beyond the Hype. Real Companies Doing Real Business Getting Real Value with AI-Alyssa Rochwerger
An Ethical Foundation for the AI-driven Future-Harry Glasser
Best Practices for Deploying Machine Learning in the Enterprise-Robbie Allen
Greatest hurdles in AI proliferation in Education-Varun Arora
10 Things I Learned Deploying AI into Human Environments-Cameron Turner
Thought Leadership | Keynotes
Data science is permeating every industry as adoption gathers pace. The management and practice of data science will become increasingly strategically important to all industries including finance and healthcare. Hear from leading experts on important topics including:
Data Science and Open-Source Education for the Enterprise-Zachary Sean Brown
Turning Machine Learning Research into Products for Industry-Reza Bosagh Zadeh
AI-Disruption for the Marketing World-Luc Dumont
![[Image: 1c0b70753e09e533602c5f360602c10b.jpg]](https://i90.fastpic.ru/big/2019/0724/0b/1c0b70753e09e533602c5f360602c10b.jpg)
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