『Mindforge ML | Foundations to Intelligence』のカバーアート

Mindforge ML | Foundations to Intelligence

Mindforge ML | Foundations to Intelligence

著者： CI Codesmith
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今ならプレミアムプランが3カ月 月額99円

2026年5月12日まで。4か月目以降は月額1,500円で自動更新します。

概要

 Mindforge ML | Foundations to Intelligence is an educational podcast by Chatake Innoworks Pvt. Ltd., published under the MindforgeAI initiative. This series explores Machine Learning from first principles to real-world applications, aligned with academic syllabi and practical thinking. Designed for students, educators, and curious minds who want to understand how machines learn, reason, and assist human decision-making.CI Codesmith 教育
エピソード
  • Mindforge ML | Unit 5 – Podcast 05_Title: PCA and Clustering Evaluation Techniques

    Mindforge ML | Unit 5 – Podcast 05_Title: PCA and Clustering Evaluation Techniques
    2026/04/11

    This episode concludes Unit 5 by exploring dimensionality reduction and methods to evaluate clustering performance.

    Key topics:

    • Dimensionality reduction: Handling high-dimensional data.

    • Principal Component Analysis (PCA): Variance-based transformation.

    • WCSS: Measuring cluster compactness.

    • Silhouette score: Evaluating cluster separation.

    • Calinski-Harabasz index: Cluster quality measurement.

    This episode completes the journey of unsupervised learning by connecting concepts with evaluation techniques.

    Series: Mindforge ML

    Produced by: Chatake Innoworks Pvt. Ltd.

    Initiative: MindforgeAI
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    14 分
  • Mindforge ML | Unit 5 – Podcast 04_Title: Hierarchical Clustering and Dendrogram Analysis

    Mindforge ML | Unit 5 – Podcast 04_Title: Hierarchical Clustering and Dendrogram Analysis
    2026/04/11

    This episode explores hierarchical clustering — a tree-based approach to grouping data and understanding relationships between clusters.

    Key topics:

    • Agglomerative clustering: Bottom-up approach.

    • Divisive clustering: Top-down approach.

    • Linkage methods: Single, complete, average, and Ward.

    • Dendrogram: Visual representation of cluster hierarchy.

    This episode helps visualize clustering structures beyond simple grouping.

    Series: Mindforge ML

    Produced by: Chatake Innoworks Pvt. Ltd.

    Initiative: MindforgeAI
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    20 分
  • Mindforge ML | Unit 5 – Podcast 03_Title: K-Means Clustering Explained

    Mindforge ML | Unit 5 – Podcast 03_Title: K-Means Clustering Explained
    2026/04/11

    This episode provides a step-by-step conceptual understanding of K-Means clustering — one of the most important unsupervised learning algorithms.

    Key topics:

    • Clustering concept: Grouping similar data points.

    • Centroid: Center of a cluster.

    • Algorithm steps: Initialization, assignment, and update.

    • Distance calculation: Measuring similarity.

    • Choosing K: Elbow method and intuition.

    This episode connects theory with intuitive understanding and practical relevance.

    Series: Mindforge ML

    Produced by: Chatake Innoworks Pvt. Ltd.

    Initiative: MindforgeAI
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    22 分
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