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A Beginner’s Guide to Linear Algebra for Deep Learning
The nuts and bolts of any deep learning algorithm
Everyone is talking about deep learning and the great utilities it has. More and more people are diving into it, making models, training for hours and achieving great accuracy results. However, when it comes to tackling a new problem or applying for a job, people expect you to know the nits and grits of the subject.
In recent surveys, even though the field’s popularity is soaring through the roofs, there are vacancies in the Data Science jobs because people do not have the fundamental knowledge and suitable skill sets.
Linear Algebra, along with statistics and probability, is the pillars of any machine learning or deep learning algorithm. Of course, you do not need to know linear algebra before starting your machine learning journey. However, you cannot develop a deep understanding and application of machine learning without it.
Here is a comprehensive beginner guide on linear algebra to get you started with it.
What is Linear Algebra?
Linear algebra is the branch of mathematics concerning coordinates and interactions with planes in higher dimensions and performs operations on them. Do not worry if this does not make sense to…
