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Want to Learn List 2024-08-11 2024-08-11

Want to Learn List

Engineering

  • prompt engineering and AI basics: read papers
  • Neuro & motor control combo with robotics
  • Dash
  • AI course (coursera / free code camp)
  • Algorithm courses
  • Robotic algorithms
  • mechanical engineering reminder (stress vs strain)
  • Your expertise should encompass deep-learning-based computer vision and the latest AI applications, including image segmentation, object detection, and real-time decision-making for autonomous navigation and manipulation in robotics or autonomous driving.
  • state-of-the-art vision models
  • Deep technical expertise in semantic scene understanding, neural network architectures, robot decision-making, supervised learning, self-supervised learning, etc.
  • Machine learning libraries: TensorFlow, Scikit learn, data visualization tools, pytorch, keras
  • Algorithms: What algorithms does a computer scientist need to know?
    • informatik studium first year.
  • Apache Spark: Can I do a fun data science project with public datasets? Exploratory dataanalysis and to form hypothesis then do statistically relevant analysis? Can I use this to formulate potential business cases? (or maybe my garmin data?)
  • nerfies: Nerfies: Deformable Neural Radiance Fields
  • Learning Precise, Contact-Rich Manipulation through Uncalibrated Tactile Skins
  • prompt engineering
  • RAG project
  • Transformers to control robots: What is RT-2? Google DeepMinds vision-language-action model for robotics
  • cloud computing What's the Difference Between AWS vs. Azure vs. Google Cloud? | Coursera
  • SQL

Science

  • Brain: cortex, etc: how does it work? (Sinilarities to convolutional neural networks as well as vision processe)
  • Neuroprostethics: sensory and motor

Jobhunt

Softskills

Mindset

  • Power of visualization
  • Elon musk tools: 5 step elimination mantra, team building