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 analyzing data, making it a cornerstone of various fields, including computer science, engineering, and machine learning. By understanding concepts such as vector spaces, linear equations, and matrix operations, one can solve complex problems involving multiple variables. Linear algebra is particularly important in data science, where it helps in tasks like dimensionality reduction, optimization, and modeling relationships within datasets. Its applications extend to physics, economics, and beyond, showcasing its versatility and significance.
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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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
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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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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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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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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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 — Survival Kit for Machine Learning
Linear algebra is often considered the ‘mathematics of data’ and one of the fundamental pillars of machine learning. It is however a vast field to cover and harbors the dangers of falling down the…
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Essential Linear Algebra for Data Science and Machine Learning
Linear Algebra is a branch of mathematics that is extremely useful in data science and machine learning. Linear algebra is the most important math skill in machine learning. Most machine learning…
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