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diff --git a/numpy/linalg/info.py b/numpy/linalg/info.py
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"""\
Core Linear Algebra Tools
-===========
+-------------------------
+Linear algebra basics:
- Linear Algebra Basics:
+- norm Vector or matrix norm
+- inv Inverse of a square matrix
+- solve Solve a linear system of equations
+- det Determinant of a square matrix
+- lstsq Solve linear least-squares problem
+- pinv Pseudo-inverse (Moore-Penrose) using lstsq
- norm --- Vector or matrix norm
- inv --- Inverse of a square matrix
- solve --- Solve a linear system of equations
- det --- Determinant of a square matrix
- lstsq --- Solve linear least-squares problem
- pinv --- Pseudo-inverse (Moore-Penrose) using lstsq
+Eigenvalues and decompositions:
- Eigenvalues and Decompositions:
+- eig Eigenvalues and vectors of a square matrix
+- eigh Eigenvalues and eigenvectors of a Hermitian matrix
+- eigvals Eigenvalues of a square matrix
+- eigvalsh Eigenvalues of a Hermitian matrix
+- qr QR decomposition of a matrix
+- svd Singular value decomposition of a matrix
+- cholesky Cholesky decomposition of a matrix
- eig --- Eigenvalues and vectors of a square matrix
- eigh --- Eigenvalues and eigenvectors of a Hermitian matrix
- eigvals --- Eigenvalues of a square matrix
- eigvalsh --- Eigenvalues of a Hermitian matrix.
- svd --- Singular value decomposition of a matrix
- cholesky --- Cholesky decomposition of a matrix
+Tensor operations:
+
+- tensorsolve Solve a linear tensor equation
+- tensorinv Calculate an inverse of a tensor
+
+Exceptions:
+
+- LinAlgError Indicates a failed linear algebra operation
"""