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Linear-algebra
Linear algebra is a fundamental branch of mathematics that focuses on the study of vectors, matrices, and linear transformations. It provides essential tools for manipulating and solving systems of linear equations, making it crucial for various fields, including computer science, engineering, physics, and data science. By understanding concepts such as vector spaces, matrix operations, and eigenvalues, one can analyze and model complex systems effectively. Linear algebra serves as the backbone for many algorithms in machine learning and artificial intelligence, enabling practitioners to work with high-dimensional data and perform operations that are vital for data analysis and computational tasks.
Linear Algebra
Linear Algebra Vectors Notation Vectors in geometry Scalar operations Elementwise operations Dot product Hadamard product Vector fields Matrices Dimensions Scalar operations Elementwise operations Had...
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Linear Algebra
Algebra is firstly taken from a book, written by Khwarizmi(780-850 CE), which is about calculation and equations. It is a branch of mathematics in which letters are used instead of numbers. Each…
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Linear Algebra
By now, we can load datasets into tensors and manipulate these tensors with basic mathematical operations. To start building sophisticated models, we will also need a few tools from linear algebra. Th...
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A Gentle Introduction to Linear Algebra
Last Updated on August 9, 2019 What is Linear Algebra? Linear algebra is a field of mathematics that is universally agreed to be a prerequisite to a deeper understanding of machine learning. Although ...
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Linear Algebra (
Linear Algebra ( scipy.linalg ) When SciPy is built using the optimized ATLAS LAPACK and BLAS libraries, it has very fast linear algebra capabilities. If you dig deep enough, all of the raw LAPACK and...
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Linear Algebra: Systems of Linear Equations and Matrices, with Python
Linear algebra is crucial in multiple areas of science and engineering in general. It is central to almost all areas of mathematics. For instance, equations are usually used to model real-life…
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Linear Algebra Explained — Part 1
Linear algebra is required for most fields, especially for machine learning and data science. I watched a video series called Essence of Linear Algebra and I found them very helpful to understand the…...
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Linear Algebra Explained Through Graph Theory
Mathematics is a difficult subject to learn: it is very broad and has a variety of applications across many domains. Linear algebra, a subsection of mathematics, in particular can be very tricky to…
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Linear Algebra from Strang.
Professor Strang’s — Introduction to Linear Algebra — is an incredible journey into the hart of Linear Algebra. Over the next few articles I aim to illuminate some of the sections in the light of…
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Why “Linear Algebra” is cool ??
Linear Algebra is to machine learning as flour to bakery: Every machine learning model is based on linear algebra, as every cake is base on flour (But ML model is not about only Linear algebra, they…
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A Primer on Linear Algebra
Introduces critical linear algebra concepts and operations, for data scientists, such as vectors, matrices, matrix multiplications, and dot products.
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Linear Algebra In Machine Learning
Linear algebra is a branch of mathematics that is widely used throughout science and engineering. We need to have a good understanding of linear algebra to understand working of many Machine Learning…...
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