Takuma Organizational & Data Analytics

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213 videos

Welcome to this channel, where you can access high-quality lectures on Data Science and Organizational Behavior taught by Dr. Takuma Kimura (木村琢磨), an intern...

Latest Videos

Data Transformation (88) Dimensionality Reduction Basics

11-5 Geometric Meaning of Eigenvectors and Eigenvalues (Linear Algebra for Data Science)

Data Transformation (78) Target Based Transformations

11-4 Key Properties of Eigenvalues and Eigenvectors Part 3 (Linear Algebra for Data Science)

Data Transformation (68) Data Discretization

11-3 Key Properties of Eigenvalues and Eigenvectors Part 2 (Linear Algebra for Data Science)

Data Transformation (58) Data Aggregation

11-2 Key Properties of Eigenvalues and Eigenvectors Part 1 (Linear Algebra for Data Science)

Data Transformation (48) Binarization

11-1 Basics of Eigenvalues and Eigenvectors (Linear Algebra for Data Science)

Data Transformation (38) Encoding Categorical Variables

10-4 Gram-Schmidt Process (Linear Algebra for Data Science)

Data Transformation (28) Scaling

10-3 Theory and Computation of Orthogonal Projection (Linear Algebra for Data Science)

Data Transformation (18) Introduction to Data Transformation

10-2. Orthogonal Sets and Bases (Linear Algebra for Data Science )

Data Cleaning (3232) De Duplication (Part 4) Automating the Deduplication Process

10-1. Orthogonal Vectors & Projections (Linear Algebra for Data Science)

Data Cleaning (3132) De Duplication (Part 3) De-Duplication Approaches

9-12. Practical Applications Completeness & Hilbert Spaces (Linear Algebra for Data Science)

Data Cleaning (3032) De Duplication (Part 2) Duplicate Detection by Machine Learning

9-11. Completeness & Hilbert Spaces (Linear Algebra for Data Science)

Data Cleaning (2932) De Duplication (Part 1) Duplicate Detection

9-10. Inner Product--Completeness (Linear Algebra for Data Science)

Data Cleaning (2832) Correcting Data Inconsistencies

9-9. Practical Applications Normed Space & Inner Product Space 2 (Linear Algebra for Data Science)

Data Cleaning (2732) Detecting Data Inconsistency using Fuzzy matching

9-8 Normed Space & Inner Product Space―Linear Algebra for Data Science

Data Cleaning (2632) Detecting Data Inconsistency using Regular Expression (Regex)

9-7. Practical Application―Inner Product & Vector Space (Linear Algebra for Data Science)