Environmental Data Science - Deep Random Talks - Episode 5
Check out details and register for our (free) Enviromental Data Science Workshop and Projects: https://community.ai.science/earth-environmental-data-science-workshop
Notes and resources: https://ai.science/l/ee1eb08d-f273-4176-bc4c-3c91ee2d3fca@/assets
-Join our ML slack community:
https://join.slack.com/t/aisc-to/shared_invite/zt-f5zq5l35-PSIJTFk4v60FML177PgsPg
-Visit our website: https://ai.science
-Book a 20-min AMA with Amir:
https://calendly.com/amirfzpr/20min-ama
Hosts:
-Amir Feizpour (Co-Founder/CEO, Aggregate Intellect & Recovering quantum physicist and data scientist)
https://ai.science/people/Yd-MvnHsaI
Guests:
- Andre Erler (Sr. Scientist at Aquanty): https://www.linkedin.com/in/aerler/
- Karen Smith (Assistant Professor at University of Toronto) https://www.linkedin.com/in/karen-smith-6497b9b2/
Видео Environmental Data Science - Deep Random Talks - Episode 5 канала LLMs Explained - Aggregate Intellect - AI.SCIENCE
Notes and resources: https://ai.science/l/ee1eb08d-f273-4176-bc4c-3c91ee2d3fca@/assets
-Join our ML slack community:
https://join.slack.com/t/aisc-to/shared_invite/zt-f5zq5l35-PSIJTFk4v60FML177PgsPg
-Visit our website: https://ai.science
-Book a 20-min AMA with Amir:
https://calendly.com/amirfzpr/20min-ama
Hosts:
-Amir Feizpour (Co-Founder/CEO, Aggregate Intellect & Recovering quantum physicist and data scientist)
https://ai.science/people/Yd-MvnHsaI
Guests:
- Andre Erler (Sr. Scientist at Aquanty): https://www.linkedin.com/in/aerler/
- Karen Smith (Assistant Professor at University of Toronto) https://www.linkedin.com/in/karen-smith-6497b9b2/
Видео Environmental Data Science - Deep Random Talks - Episode 5 канала LLMs Explained - Aggregate Intellect - AI.SCIENCE
Показать
Комментарии отсутствуют
Информация о видео
5 марта 2022 г. 11:03:25
00:56:06
Другие видео канала
Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial | AISCExplainable AI, Session 4: Intro to LIMEMemory-Based Graph Networks | AISCExplainable AI, Session 3: Explainability OptionsStatistical Issues in Agent-Based Models | AISCNodes, Edges and Properties; Graph Analysis Intro for ML NewcomersGraph Neural Networks, Session 5: Graph Attention NetworksPrivacy-Preserving Natural Language Processing - Big Science - Module 1Working Group on Landcover Classification Wrap-up + SpotlightLeveraging Language Models for Training Data Generation and Tool LearningMachine Learning Product Management in the Insurance IndustryHow to Annotate Data for LLM ApplicationsNormie Tools for Validating LLM OutputsSpeech synthesis from neural decoding of spoken sentences | AISCEvaluating Performance of Large Language Models with Linguistics - Deep Random Talks S2E5Machine Learning Product Challenges on Aggregate IntellectAI Product, Part 5: DiscoveryWhat is Wrong with Explainable AI? | AISCDesigning quantum computers with generative models | AISCOverview: Machine Learning for Quantum Matter Research | AISC