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The Key of Learning

The Key of Learning

It's a talk that introduces the key concepts with examples from my self-learning journey, and was shared in AppWorks School on 2023/7/21.

Mosky Liu

July 22, 2023
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Transcript

  1. The Key of Learning
    Mosky
    Understand & Remember

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  2. Understand

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  3. Question + References = Answer

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  4. Understand what?

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  5. Mosky
    • Data


    • Data Science, Statistical
    Regression, Hypothesis Testing


    • Python


    • Practicing Python 3, PyCons


    • Management, and more


    • Medium: @mosky


    • YouTube: @moskyliu
    Architect, Pinkoi

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  6. What are you interested?

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  7. Keywords

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  8. then pivot a keyword.

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  9. “Data”
    • “Neural Network”


    • ”Data Mining“


    • “Statistics”


    • “Data Science”

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  10. “Data”
    • “Neural Network”


    • ”Data Mining“


    • “Statistics”


    • “Data Science”

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  11. “Statistics”

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  12. Develop the keywords.

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  13. “Statistics”
    • “Descriptive Statistics”


    • ”Statistical Inference“


    • “Regression Analysis”


    • “Time-Series”


    ...

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  14. Now you get the questions!

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  15. “Statistics”
    • “Descriptive Statistics”???


    • ”Statistical Inference“???


    • “Regression Analysis”???


    • “Time-Series”???

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  16. Collect references to answer them!

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  17. “Statistics”
    • “Descriptive Statistics”


    • Brief informational coe
    ff
    icients that summarize a given data set.
    (Adam Hayes, 2023)


    ...

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  18. My ~300 questions IRL.

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  19. “Statistics”
    • “Descriptive Statistics”


    • Brief informational coe
    ff
    icients that summarize a given data set. (Adam
    Hayes, 2023)


    • coe
    ff
    icients???


    • data set???


    ...... Quantum Mechanics?!?!

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  20. May stop at N+1.


    N = you can be paid for

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  21. “Statistics”
    • “Descriptive Statistics” ← N


    • Brief informational coe
    ff
    icients that summarize a given data set. (Adam
    Hayes, 2023)


    • coe
    ff
    icients ← N+1


    • data set ← N+1


    ...... Quantum Mechanics

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  22. • Job descriptions


    • The career framework, in your company


    • 1-1 with your managers


    • the needs & you're willing to ful
    f
    ill


    • Career frameworks, in other companies


    • Coding Is Magic, 2016, pp. 72–78


    • XXX Roadmaps

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  23. Remember

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  24. Target ← Source

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  25. External Memory
    • Target ← Source, e.g.,


    • Web page


    • Note





    • Segment


    • Tag


    • i.e., building up your 2nd brain.

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  27. View Slide

  28. View Slide

  29. Human Memory
    1. Explicit memory


    • “Data types in Python?”


    2. Implicit memory


    • Typing on keyboard.


    • Gut feelings when

    solving problems.

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  30. Recall for explicit memory.

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  31. Repeat for implicit memory.

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  32. “Kubernetes”
    • How to pronounce?


    • Recall “Kubernetes” → (pronouncing /ˌkuːbərˈnɛtɪs/)


    • Repeat.

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  33. Bridges may help.

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  34. “Kubernetes”
    • loop |loop|


    • user |'yoo.zEr|


    • net |net|


    • continue |kEn'tin.yoo|


    • |koo|


    • |bEr|


    • |ne|


    • |tis|


    • Kubernetes |koo.bEr'ne.tis|

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  35. ← Source


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  36. Target →


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  37. Recall


    &


    Repeat


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  38. Rest when overheat.


    Both sleep and wakeful resting helps memory.

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  39. “How to build a website?”
    • The same.


    • You can do it by:


    1. External memory with ChatGPT, Google, or your notes.


    2. Explicit memory in front of a whiteboard.


    3. Implicit memory like a senior engineer.


    • Now you know how to build them more e
    ff
    iciently!

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  40. So,
    • Understand


    • Question + References = Answer


    • Pivot, Develop, N+1.


    • Remember


    • Target ← Bridge ← Source


    • Recall, Repeat, Rest.

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  41. Image Credits
    • “Noting”

    https://unsplash.com/photos/OnFW5djcAYc


    • “Playing Piano”

    https://unsplash.com/photos/S4eh9DWTId4

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