Clawdemy: Foundations

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The mathematical foundations of AI, narrated. Linear algebra, calculus, statistics, and classical machine learning, one bite-size lesson at a time. A focused track from Clawdemy.

  1. 25 thg 5

    Higher-order derivatives: brief

    Overview of higher derivatives: notation, the second derivative as acceleration and curvature, the second-derivative test, and ML curvature uses.

    10 phút

  2. 25 thg 5

    Bias-variance tradeoff: brief

    Overview of the bias-variance lesson: what you will learn, where it fits, the prerequisite to have first, and the time and difficulty before you start.

    12 phút

  3. 25 thg 5

    Classification metrics: brief

    Overview of the classification metrics lesson: what you'll learn about the confusion matrix, precision, recall, ROC and AUC, plus prerequisites and read time.

    13 phút

  4. 25 thg 5

    t-SNE: brief

    What this t-SNE lesson covers: reading 2D cluster plots, what the method preserves and distorts, the perplexity dial, plus prerequisites and time to budget.

    12 phút

  5. 25 thg 5

    PCA, in brief

    A map of the PCA lesson: what you'll learn about principal components, scree plots and loadings, plus prerequisites and where it fits in unsupervised learning.

    12 phút

  6. 25 thg 5

    Taylor series: brief

    A roadmap to the Taylor series: why factorials matter, the e^x, sine, and cosine series, and how gradient descent and Newton's method are Taylor at work.

    12 phút

  7. 25 thg 5

    Train, test, cross-validation: brief

    Overview of the cross-validation lesson: learning outcomes, prerequisites, and time for train/validation/test splits, k-fold CV, and data-leakage traps.

    12 phút

  8. 24 thg 5

    Decision trees, in brief

    Overview of the decision trees lesson: what you will learn, how it builds on logistic regression and sets up random forests, prerequisites, and time.

    11 phút
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Giới Thiệu

The mathematical foundations of AI, narrated. Linear algebra, calculus, statistics, and classical machine learning, one bite-size lesson at a time. A focused track from Clawdemy.

Thông Tin

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    Clawdemy
  • Tập
    57
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    Sạch
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    Clawdemy: Foundations