Articles About Machine Learning

A Standard Multivariate, Multi-Step, and Multi-Site Time Series Forecasting Problem

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September 29, 2020 Machine Learning

How to Run Deep Learning Experiments on a Linux Server

Last Updated on August 19, 2019 After you write your code, you must run your deep learning experiments on large computers with lots of RAM, CPU, and GPU resources, often a Linux server in the cloud. Recently, I was asked the question: “How do you run your deep learning experiments?” This is a good nuts-and-bolts question that I love answering. In this post, you will discover the approach, commands, and scripts that I use to run deep learning experiments on […]

September 29, 2020 Machine Learning

Why Do Machine Learning Algorithms Work on New Data?

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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 […]

September 29, 2020 Machine Learning

A Gentle Introduction to NumPy Arrays in Python

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September 29, 2020 Machine Learning

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, […]

September 29, 2020 Machine Learning

Gentle Introduction to Vector Norms in Machine Learning

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September 29, 2020 Machine Learning

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 […]

September 29, 2020 Machine Learning

Introduction to Matrix Types in Linear Algebra for Machine Learning

Last Updated on August 9, 2019 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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