Newly updated for 2024! Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. In machine learning, you apply math concepts through programming. And so, in this specialization, you’ll apply the math concepts you learn using Python programming in hands-on lab exercises. As a learner in this program, you'll need basic to intermediate Python programming skills to be successful. 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 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 programming (data structures, loops, functions, conditional statements, debugging). Assignments and labs are written in Python but the course introduces all the machine learning libraries you’ll use.
CERTIFICATEKatılım Sertifikası
FORMAT100% Online
DURATION3 ay
What you'll learn
Linear Algebra
Dimensionality Reduction
Data Manipulation
Algebra
Applied Mathematics
Image Analysis
Mathematical Software
Machine Learning
Data Transformation
Machine Learning Methods
Python Programming
Calculus
Course Content
3 topics
Kurs 1Linear Algebra for Machine Learning and Data Science
Kurs 2Calculus for Machine Learning and Data Science
Kurs 3Probability & Statistics for Machine Learning & Data Science
Details
ProviderDeepLearning.AI
TypeCourse
CategorySoftware & Programming
LevelIntermediate
Duration3 ay
LanguageEnglish
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