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What You'll Learn
Concepts:
Shape Bookkeeping and Diagnosing a Dimension Mismatch
Principal Component Analysis for Dimension Reduction
word2vec as Implicit PMI Matrix Factorization
Positive Semi-Definiteness and the Covariance Matrix
tf-idf as Diagonal Reweighting of a Count Matrix
Softmax Function
Change of Basis for Vectors in Linear Algebra
Truncated SVD and the Eckart-Young Optimality Claim
Document-Term Count Matrices in Text Mining
The Unembedding Projection from Hidden State to Vocabulary Logits
Johnson-Lindenstrauss Lemma for Dimensionality Reduction
Systematic Linear Combination Concepts in Vector Spaces
Definition of the Logarithm as Inverse of Exponentiation in Mathematics
Compressed Sparse Row Storage for Term-Document Matrices
Linear Independence of Vectors
Self Attention Mechanism in Transformers
Matrix-Vector Multiplication via Row-Column Dot Products and the Column Space
Laws of Exponents for Integer Exponents in Algebra
The Cartesian Coordinate Plane
Eigenvalues and Eigenvectors Definitions in Linear Algebra
Multi-Head Attention
Singular Value Decomposition via Eigenvalue Decomposition of A^TA and AA^T
Gram-Schmidt Orthogonalization Algorithm
Vector-Arithmetic Analogies as Linear Structure in Embedding Space
Length as Square Root of Self-Dot-Product
Solving Inconsistent Linear Systems Using Least Squares
Square Roots and the Pythagorean Theorem
Eigenvalues and Eigenvectors for Symmetric Matrices
Nonnegative Matrix Factorization in Machine Learning
The Transpose and Why K^T Appears in Attention
Choosing Cosine over Euclidean Distance in High Dimensions
Vector Angle and Orthogonality via the Dot Product
Vector Addition and Scalar Multiplication
Unit Circle Definition of Sine and Cosine
Dot Product Operation for Vectors in Linear Algebra
Function Notation and Evaluation in Algebra
Dot Product Projection of One Vector onto Another
Nearest-Neighbour Retrieval over an Embedding Matrix
Arithmetic Mean and Variance of a Data Set
Vectors as Geometric Arrows and Ordered Number Lists
Summation Notation for Finite Series in Mathematics
Cosine Similarity in High-Dimensional Vector Spaces
Latent Semantic Analysis in Natural Language Processing
Rank and Column Space as Information Capacity
L1 and L2 Norms and Unit Normalization
Matrix Multiplication as Composition of Linear Transformations
Layer Normalization as a Per-Vector Operation
One-Hot Encoding
What you will learn
No introduction video available
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