Neuro Symbolic Courses

ML Foundations IV - Advanced Deep Learning

Master advanced deep learning concepts including transformers, BERT, GPT models, prompt engineering, reinforcement learning, and neural network optimization techniques.

• YouTube
• 1 hour 42 minutes
• Self-Paced
• Free Video

ML Foundations V - Unsupervised and Non-Parametric Methods

Explore unsupervised learning, clustering algorithms, k-nearest neighbors, and association rule mining techniques in this comprehensive machine learning foundations session.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

ML Foundations III - Deep Learning

Dive into neural networks, backpropagation, and CNNs to build foundational deep learning skills for AI applications.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

ML Foundations II - Supervised Learning

Dive into supervised learning fundamentals covering random forests, linear regression, gradient descent, regularization, and SVMs with practical ML applications.

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

ML Foundations I - ML Basics

Discover fundamental machine learning concepts from AI distinctions to data preparation, supervised learning, decision trees, MLOps, and performance evaluation techniques.

• YouTube
• 1 hour 44 minutes
• Self-Paced
• Free Video

Cross-Fold Validation

Master cross-fold validation techniques to improve model evaluation and prevent overfitting in machine learning projects.

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

Uncertainty Quantification in Metacognition

Explore uncertainty quantification in metacognition and its applications in AI research, focusing on DARPA-funded efforts and advancements in neuro-symbolic approaches.

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

PyReason and Abduction for Trajectory Generation

Explore combining PyReason's annotated logic with abductive inference for robust human movement trajectory generation, countering anomaly detection.

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

Constraint Satisfaction Problems: Consistency Algorithms - Part 6

Explore consistency algorithms for constraint satisfaction problems in AI, covering formulation, solving methods, and domain splitting.

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

Visual Concept Grounding for Lifelong Learning

Explore visual concept grounding for lifelong learning with Yezhou Yang, delving into active perception and cutting-edge AI research at Arizona State University.

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

Certifying Trustworthy Deep Learning Systems

Explore techniques for certifying trustworthiness in deep learning systems with expert insights from Linyi Li, enhancing AI reliability and safety.

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

Human-Aware Metacognitive AI - Lecture on Planning with Incomplete Model Knowledge

Explore human-aware planning and metacognitive AI with insights from Sarath Sreedharan, focusing on incomplete model-knowledge and AI-human interaction.

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

Prosocial LLMs - Advancing Ethical AI Development

Explore pro-social language models with Dartmouth's Soroush Vosoughi, examining their potential for positive societal impact and ethical AI development.

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

Deep Ontological Networks: An Overview and Implementation

Explore deep ontological networks, focusing on recursive reasoning networks and their applications through an in-depth overview and experimental insights.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Scene Graphs: Overview and Current Research

Explore scene graphs and current research in this field, gaining insights into an exciting area of AI and machine learning.

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