Matrix Types in Linear Algebra for Machine Learning

Last Updated on January 5, 2021 A lot of linear algebra is concerned with operations on vectors and matrices, and there are many different types of matrices. There are a few types of matrices that you may encounter again and again when getting started in linear algebra, particularity the parts of linear algebra relevant to machine learning. In this tutorial, you will discover a suite of different types of matrices from the field of linear algebra that you may encounter […]

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10 Powerful Applications of Linear Algebra in Data Science (with Multiple Resources)

Overview Linear algebra powers various and diverse data science algorithms and applications Here, we present 10 such applications where linear algebra will help you become a better data scientist We have categorized these applications into various fields – Basic Machine Learning, Dimensionality Reduction, Natural Language Processing, and Computer Vision   Introduction If Data Science was Batman, Linear Algebra would be Robin. This faithful sidekick is often ignored. But in reality, it powers major areas of Data Science including the hot […]

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Linear Algebra for Machine Learning

Last Updated on August 15, 2020 You do not need to learn linear algebra before you get started in machine learning, but at some time you may wish to dive deeper. In fact, if there was one area of mathematics I would suggest improving before the others, it would be linear algebra. It will give you the tools to help you with the other areas of mathematics required to understand and build better intuitions for machine learning algorithms. In this […]

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How to Index, Slice and Reshape NumPy Arrays for Machine Learning

Last Updated on June 13, 2020 Machine learning data is represented as arrays. In Python, data is almost universally represented as NumPy arrays. If you are new to Python, you may be confused by some of the pythonic ways of accessing data, such as negative indexing and array slicing. In this tutorial, you will discover how to manipulate and access your data correctly in NumPy arrays. After completing this tutorial, you will know: How to convert your list data to […]

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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 linear algebra is a large field with many esoteric theories and findings, the nuts and bolts tools and notations taken from the field are practical for machine learning practitioners. With a solid foundation of what linear algebra is, it is possible to focus on just the good […]

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5 Reasons to Learn Linear Algebra for Machine Learning

Last Updated on August 9, 2019 Why Learn Linear Algebra for Machine Learning? Linear algebra is a field of mathematics that could be called the mathematics of data. It is undeniably a pillar of the field of machine learning, and many recommend it as a prerequisite subject to study prior to getting started in machine learning. This is misleading advice, as linear algebra makes more sense to a practitioner once they have a context of the applied machine learning process […]

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A Gentle Introduction to NumPy Arrays in Python

Last Updated on November 29, 2019 Arrays are the main data structure used in machine learning. In Python, arrays from the NumPy library, called N-dimensional arrays or the ndarray, are used as the primary data structure for representing data. In this tutorial, you will discover the N-dimensional array in NumPy for representing numerical and manipulating data in Python. After completing this tutorial, you will know: What the ndarray is and how to create and inspect an array in Python. Key […]

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A Gentle Introduction to Vectors for Machine Learning

Last Updated on August 9, 2019 Vectors are a foundational element of linear algebra. Vectors are used throughout the field of machine learning in the description of algorithms and processes such as the target variable (y) when training an algorithm. In this tutorial, you will discover linear algebra vectors for machine learning. After completing this tutorial, you will know: What a vector is and how to define one in Python with NumPy. How to perform vector arithmetic such as addition, […]

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Gentle Introduction to Vector Norms in Machine Learning

Last Updated on August 9, 2019 Calculating the length or magnitude of vectors is often required either directly as a regularization method in machine learning, or as part of broader vector or matrix operations. In this tutorial, you will discover the different ways to calculate vector lengths or magnitudes, called the vector norm. After completing this tutorial, you will know: The L1 norm that is calculated as the sum of the absolute values of the vector. The L2 norm that […]

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Introduction to Matrices and Matrix Arithmetic for Machine Learning

Last Updated on August 9, 2019 Matrices are a foundational element of linear algebra. Matrices are used throughout the field of machine learning in the description of algorithms and processes such as the input data variable (X) when training an algorithm. In this tutorial, you will discover matrices in linear algebra and how to manipulate them in Python. After completing this tutorial, you will know: What a matrix is and how to define one in Python with NumPy. How to […]

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