Media Learning Center
Use video, talks, webinars, and recorded courses to strengthen concepts that are often easier to understand visually or through expert explanation. This page favors authoritative sources, clearly labeled context, and dependable learning channels over anonymous or mislabeled video lists.
Featured Lessons
These three lessons were individually verified against their current source pages. They provide strong entry points into neural networks, broader machine learning, and statistical modeling.
But what is a neural network?
A visual-first explanation of neurons, layers, weights, biases, and how neural networks represent patterns. A strong starting point before implementation-focused deep-learning material.
Stanford CS229 — Machine Learning, Lecture 1
Andrew Ng’s opening CS229 lecture introduces the course, supervised and unsupervised learning, learning theory, reinforcement learning, and the broader machine-learning landscape.
StatQuest — Logistic Regression
A concise explanation of logistic regression, how it differs from linear regression, and why it is widely used for classification and statistical modeling.
Choose what you want to learn
Showing all 23 media resources.
No media resources match that search and category. Try a broader term or choose “All”.
Machine Learning & Deep Learning
Build conceptual and technical foundations in classical machine learning, neural networks, and modern deep learning.
3Blue1Brown — Neural Networks
A visual series covering neural networks, gradient descent, backpropagation, transformers, attention, and related deep-learning ideas with unusually clear mathematical animations.
Best for: Understanding the mathematics and intuition behind neural networks
Open media source ↗MIT 6.S191 — Introduction to Deep Learning
MIT’s open deep-learning course with annually refreshed lectures, slides, and software labs covering sequence models, computer vision, generative modeling, and modern deep-learning practice.
Best for: Current deep-learning lectures with slides and hands-on labs
Open media source ↗Stanford CS229 — Machine Learning
Stanford’s graduate-level machine-learning course provides a broad introduction to supervised learning, unsupervised learning, learning theory, reinforcement learning, and statistical pattern recognition.
Best for: Rigorous machine-learning theory and algorithms
Open media source ↗StatQuest
Verified educational channel known for breaking down statistics and machine-learning topics into concise, approachable explanations while preserving the underlying logic.
Best for: Clear explanations of statistics, ML models, and evaluation concepts
Open media source ↗PyTorch Official Channel
Official PyTorch media channel featuring tutorials, conference sessions, beginner series, expert exchanges, and engineering content from the open-source PyTorch community.
Best for: PyTorch engineering, tutorials, ecosystem updates, and practitioner talks
Open media source ↗Statistics, Visualization & Storytelling
Learn statistical reasoning and how to communicate data clearly rather than presenting charts without context.
StatQuest — Logistic Regression
A verified StatQuest lesson explaining logistic regression, the logistic function, and how classification probabilities differ from linear-regression outputs.
Best for: Classification and statistical-model intuition
Open media source ↗TED Study — Visualizing Data
TED’s curated study collection combines talks and supporting material on visualizing data, statistical thinking, information design, and evaluating effective versus misleading displays.
Best for: Data visualization, statistical literacy, and communication
Open media source ↗The Power in Effective Data Storytelling
Malavica Sridhar demonstrates how analysis becomes more useful when data is structured into a clear story instead of presented as disconnected numbers and charts.
Best for: Turning analytical findings into understandable narratives
Open media source ↗The Beauty of Data Visualization
David McCandless demonstrates how thoughtful visual design can reveal relationships and patterns that are difficult to see in dense tables or raw information.
Best for: Visual design and discovering patterns in complex information
Open media source ↗Healthcare & Imaging AI
Trusted medical-imaging and digital-health education from radiology and regulatory organizations.
RSNA AI Training & Education
RSNA’s current education hub for imaging AI, including certificate courses, webinars, expert playlists, AI toolkit resources, and radiology-focused training.
Best for: Radiology-specific AI education and responsible clinical implementation
Open media source ↗Radiology: Artificial Intelligence — YouTube
Official channel for RSNA’s Radiology: Artificial Intelligence journal, featuring AI-in-imaging discussions, webinar series, podcasts, and research-oriented media.
Best for: Medical-imaging AI research discussions and journal-related media
Open media source ↗FDA CDRH Learn — Digital Health
FDA’s multimedia education center for medical devices and radiation-emitting products, including digital-health modules, AI/ML device guidance, presentations, slides, and transcripts.
Best for: Medical-device regulation, digital health, AI/ML device guidance, and product lifecycle education
Open media source ↗FDA Webinar — Predetermined Change Control Plans for AI-Enabled Device Software
FDA webinar explaining final guidance on Predetermined Change Control Plans for AI-enabled device software functions, with supporting presentation material and transcript.
Best for: Understanding FDA expectations for planned modifications to AI-enabled device software
Open media source ↗Data Engineering & Cloud
Practical media for distributed data processing, cloud architecture, and current engineering practice.
AWS re:Invent — On Demand
AWS’s official on-demand library of re:Invent keynotes, innovation talks, breakout sessions, customer stories, and technical presentations across cloud and AI topics.
Best for: Current AWS architecture, analytics, data, AI, security, and cloud engineering sessions
Open media source ↗AWS Builder Events & Live Learning
AWS Builder Center hub for summits, workshops, training events, AWSOnAir, AWS Developers media, and other live or recorded technical learning opportunities.
Best for: Hands-on cloud learning and current service demonstrations
Open media source ↗What is Apache Spark?
Apache Spark co-creator Matei Zaharia explains Spark’s purpose and how distributed data processing supports large-scale analytics and engineering workloads.
Best for: Understanding Spark’s role in distributed data processing
Open media source ↗Responsible AI & Governance
Primary-source media for AI risk, trustworthiness, governance, and regulated AI systems.
NIST AI Risk Management Framework — Explainer Video
NIST’s official introduction to the voluntary AI Risk Management Framework and its role in incorporating trustworthiness into AI design, development, use, and evaluation.
Best for: Understanding the purpose and structure of the NIST AI RMF
Open media source ↗NIST AI RMF 1.0 Launch Recording
Recording of the NIST AI RMF 1.0 launch with government and stakeholder perspectives on trustworthy AI, risk management, and the framework’s intended use.
Best for: AI governance context and stakeholder perspectives
Open media source ↗NIST AI RMF Media & Resources
NIST’s maintained resource page linking the AI RMF, Playbook, roadmap, crosswalks, explainer video, generative-AI profile, and related trustworthy-AI material.
Best for: Continuing from explainer media into implementation resources
Open media source ↗Ongoing Learning Channels
Reliable sources worth returning to when you want new technical talks rather than a one-time lesson.
MIT Deep Learning
MIT’s course site is updated with new lecture material and gives users a stable source for current deep-learning media instead of relying on an old fixed playlist.
Best for: New deep-learning lectures, slides, and labs
Open media source ↗Radiology: Artificial Intelligence
A recurring media source for journal webinars, podcasts, research discussions, and developments in artificial intelligence for medical imaging.
Best for: Staying current with radiology AI research and discussion
Open media source ↗PyTorch
Official PyTorch channel with current conference sessions, tutorials, webinars, developer content, and ecosystem updates.
Best for: Framework tutorials, conferences, and engineering updates
Open media source ↗AWS re:Invent On Demand
A regularly refreshed archive of AWS technical sessions that can be filtered by topic and used for deeper cloud and data-engineering study.
Best for: New cloud, data, AI, architecture, and infrastructure sessions
Open media source ↗What changed in the August 2026 Media review?
- The former page contained duplicate YouTube links and several cases where the displayed title did not match the linked video. Those entries were retired rather than relabeled without evidence.
- Three individual lessons were retained as featured media only after their titles and sources were independently verified.
- Random one-off links were replaced with durable sources such as MIT 6.S191, Stanford Online, StatQuest, RSNA, FDA CDRH Learn, AWS re:Invent, NIST, and the official PyTorch channel.
- Healthcare AI now has a dedicated category so medical-imaging education is not mixed into generic AI videos.
- Responsible-AI media now points to NIST primary-source recordings and framework resources instead of generic ethics commentary.
- Embeds use YouTube’s privacy-enhanced domain and lazy loading to reduce unnecessary third-party loading before users reach the featured section.