Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. This beginner-friendly Specialization is where you’ll master the fundamental mathematics toolkit of machine learning.
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Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. This beginner-friendly Specialization is where you’ll master the fundamental mathematics toolkit of machine learning.
Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. This beginner-friendly Specialization is where you’ll master the fundamental mathematics toolkit of machine learning.
Many machine learning engineers and data scientists need help with mathematics, and even experienced practitioners can feel held back by a lack of math skills. This Specialization uses innovative pedagogy in mathematics to help you learn quickly and intuitively, with courses that use easy-to-follow plugins and visualizations to help you see how the math behind machine learning actually works.
We recommend you have a high school level of mathematics (functions, basic algebra) and familiarity with a programming language (loops, functions, if/else statements, lists/dictionaries, importing libraries). Assignments and labs are written in Python but the course introduces all the machine learning libraries you’ll use.
What's inside
Three courses
Linear Algebra for Machine Learning and Data Science
(0 hours)
Linear Algebra for Machine Learning and Data Science
(0 hours)
Calculus for Machine Learning and Data Science
(0 hours)
Calculus for Machine Learning and Data Science
(0 hours)
Probability & Statistics for Machine Learning & Data Science
(0 hours)
Probability & Statistics for Machine Learning & Data Science
(0 hours)Learning objectives
- A deep understanding of the math that makes machine learning algorithms work.
- Statistical techniques that empower you to get more out of your data analysis.
- A deep understanding of the math that makes machine learning algorithms work.
- Statistical techniques that empower you to get more out of your data analysis.
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