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- Home
- AI/ML
- AI/ML links
- AI/ML Labs (some work, some don’t)
- 01. Introduction to AI & Machine Learning
- 02. Graphing and Sampling Data
- 03. Bayesian Models & Probabilistic Thinking
- 04. Supervised Learning: Linear Regression and/or Classification Prediction
- 05. Supervised Learning: Categorization
- 06. Expanding R to AI/ML in Education
- 07. ML with Python, Jupyter Notebook, COLAB & scikit-learn
- 08. Comparing Machine and Human Intelligence & Relating Them to Education
- 09. Intro to TensorFlow & AI/ML Societal Effects
- 10. High-level Machine Learning Environments
- 11. AI in Context and in Implementation
- 12. Range of Contemporary AI & Data Sources
- 13. Where are AI and ML Heading?
- AR/VR
- books
- cognition
- COVID-19
- edTech
- foundation
- innovate
- Innovate-Entrepreneur Links
- 1. Portrait of Innovative Entrepreneur
- 2. Ideation & Entrepreneurial Mindset
- 3. Innovation, Need & Opportunity
- 4. Impact and Funding
- 5. Economics & Networking
- 6. Marketing, Branding, Legal, Intellectual Property
- 7. Execution: Startup, Scale up, Sustain, Exit
- 8. Regional, National, Global Scopes
- 9. Anticipating Emerging Markets
- 10. What Else Should I Know?
- math
- robots
- Scott
- security
- trends
- wkshps
- assistiveTech
- 1. Intro & physical
- 2. Sensory Disorders
- 3. Dyslexia & Discalculia
- 4. Autism Spectrum Disorder
- 5. AD/HD
- 6. Disability or Superpower?
- 7. Emotional/Social/Behavioral Disorder
- 8. Developmental/Intellectual Disorder
- 9. Cognitive Disorder
- 10. Emerging Technologies
- 11. Summary & Updates
- 12. Afterthoughts
- Learning Disability Links
- AT-Links
- Disability Humor