Table of Contents
Do I need math for data structures and algorithms?
Algorithms and data structures is a very broad field. Generally though, for a good basic grasp of algorithms, you mostly need good problem solving abilities and a broad exposure (not necessarily too deep) to various kinds of mathematics. Number theory definitely is helpful as is some basic graph theory.
What Math do I need for Artificial Intelligence?
Linear Algebra You Need to Know for AI Linear Algebra is the primary mathematical computation tool in Artificial Intelligence and in many other areas of Science and Engineering.
Is math the primary prerequisite for machine learning?
Math is not the primary prerequisite for machine learning. If you’re a beginner and your goal is to work in industry or business, math is not the primary prerequisite for machine learning. That probably stands in opposition to what you’ve heard in the past, so let me explain.
Why is it important to understand the maths concepts behind machine learning?
The prediction could be as simple as classifying dogs or cats from a given set of pictures or what kind of products to recommend to a customer based on past purchases. Hence, it is very important to properly understand the maths concepts behind any central machine learning algorithm.
Is machine learning just for the mathematical elite?
Machine learning is not just for the mathematical elite. You can learn how machine learning algorithms work and how to get the most from them without diving deep into multivariate statistics. You do not need to be good at math.
Do you need calculus or linear algebra to learn machine learning?
This point must be emphasized: modern statistical and machine learning software takes care of much of the mathematics for you. This means that it’s possible for you to build a good predictive model without almost any knowledge of calculus or linear algebra.