Social And Emotional Learning Courses

Simons Institute

In-Context Principle Learning from Mistakes

Explore Uri Alon's insights on in-context principle learning from mistakes, focusing on emerging generalization settings in AI and machine learning.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

OpenSource Connections

Unlocking Product Search with Machine Learning and LLM Innovations

Explore cutting-edge ML and LLM techniques to revolutionize product search, from query understanding to result re-ranking. Discover how to optimize retrieval quality using innovative approaches in a retail scenario.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

ICTP-SAIFR

Application of Machine Learning for Advanced Quantum Detection - Class 2

Explore advanced quantum detection techniques through machine learning applications, focusing on cutting-edge research and practical implementations in quantum systems.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

ICTP-SAIFR

Prospects and Challenges for Quantum Machine Learning - Class 3

Explore prospects and challenges of quantum machine learning with Marco Cerezo, delving into cutting-edge research and potential applications in this advanced lecture.

• YouTube
• 1 hour 26 minutes
• Self-Paced
• Free Video

The Machine Learning Engineer

GraphRAG: Visualizing Knowledge Graphs in Neo4J for Data Science and Machine Learning

Explore knowledge graph visualization in Neo4J using GraphRAG, enhancing your data science and machine learning skills with practical insights.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Amazon Web Services;  Amazon

No-code Machine Learning and Generative AI on AWS (Simplified Chinese)

掌握无代码机器学习和生成式AI在AWS上的应用。学习使用Amazon SageMaker Canvas构建、训练和部署ML模型，以及利用基础模型进行文本生成、摘要和聊天等任务。

• AWS Skill Builder
• 5 hours 30 minutes
• Self-Paced
• Free Certificate

The Julia Programming Language

Modern CI/CD Machine Learning Workflows Using Julia

Explore streamlined machine learning workflows in Julia, integrating package development principles and MLflow for robust, reproducible, and scalable model creation and management.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Paul G. Allen School

Robot Learning with Minimal Human Feedback

Explore innovative techniques for training robots with minimal human feedback, from single demonstrations to eye gaze, and learn about leveraging pretrained models for efficient robot learning.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Computational Genomics Summer Institute CGSI

Uncovering Cellular Dynamics and Metabolism with Geometric Deep Learning and Optimal Transport

Explore geometric deep learning and optimal transport techniques for uncovering cellular dynamics and metabolism in this insightful computational genomics presentation.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Computational Genomics Summer Institute CGSI

Bridging the Gap: Deep Learning and Causality

Explore the intersection of deep learning and causality, focusing on bridging the gap between these fields. Gain insights into recent advancements and their applications in computational genomics.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Conf42

AI in Detecting Fraudulent Payments from Social Engineering

Explore AI's role in combating fraudulent payments from social engineering in fintech, covering phishing detection, identity theft prevention, and emerging threats like deepfakes.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Anyscale

ByteDance's Platform for Reinforcement Learning from Human Feedback

Explore ByteDance's journey in building a video data processing pipeline using Ray's ecosystem for creating realistic video generation models from text instructions.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Anyscale

Netflix's Ray Platform: From Deep Learning to GenAI

Explore Netflix's integration of Ray to enhance its machine learning platform for the generative AI era, covering data processing, LLM fine-tuning, and distributed inference strategies.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Scaling Insights from Infinite-Width Theory for Next Generation Architectures and Learning Paradigms

Explore scaling insights from infinite-width theory for advanced architectures and learning paradigms. Gain understanding of optimal scaling rules across various models and their impact on training stability and generalization.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Interpretability for Deep Learning: Theory, Applications and Scientific Insights

Dive into deep learning interpretability, exploring methods to enhance transparency, safety, and trustworthiness in AI deployment while uncovering scientific insights in various domains.

• YouTube
• 56 minutes
• Self-Paced
• Free Video