Data Science & Developer Roadmaps with Chat & Free Learning Resources
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…
Read more at Towards Data Science | Find similar documentsLinear 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...
Read more at Machine Learning Glossary | Find similar documentsLinear 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...
Read more at Dive intro Deep Learning Book | Find similar documentsLinear Algebra Explained — Part 3
In this post, we will try to understand the dot product. You can read the previous posts of this series here: part 1, part 2. Let’s start with the standard definition of dot product. We take two…
Read more at Analytics Vidhya | Find similar documentsLinear 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…...
Read more at Analytics Vidhya | Find similar documentsLinear Algebra Explained — Part 2
In the first part of this series vectors, basis vectors, span and linear transformations are explained. For this part, we will take a look at matrix multiplication, determinant, inverse matrices…
Read more at Analytics Vidhya | Find similar documentsLinear 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...
Read more at SciPy User Guide | Find similar documentsA 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 ...
Read more at Machine Learning Mastery | Find similar documentsLinear Algebra is fun, trust me! (Part 1)
Linear Algebra is one area of Mathematics that is extensively used throughout machine learning especially in the field of deep learning. A good understanding of this area is required for…
Read more at Analytics Vidhya | Find similar documentsIntro to R: Linear Algebra
R is a very powerful language developed especially for data analysis, data visualization, and machine learning, which makes it a must-learn for any aspiring data scientist. R is especially handy with…...
Read more at Towards Data Science | Find similar documentsIntroduction to Applied Linear Algebra: Vectors
Goal: This article gives an introduction to vectors, vector operations and their applications in the field of data science Why you should learn it: It is the basis for almost all machine learning…
Read more at Towards Data Science | Find similar documentsLinear Algebra 3: Vector Equations
Vector Equations and Spans Preface Welcome back to the third essay of my ongoing series on the basics of Linear Algebra, the foundational math behind machine learning. In my previous article, I walke...
Read more at Towards Data Science | Find similar documents- «
- ‹
- …