Filter by
The language used throughout the course, in both instruction and assessments.
Results for "cosine+similarity"
- Status: Free
The Hong Kong University of Science and Technology
Skills you'll gain: Algebra, Mathematics, Critical Thinking, Geometry, Linear Algebra, Mathematical Theory & Analysis
- Status: Free
National Taiwan University
Skills you'll gain: General Statistics, Probability & Statistics, Probability Distribution, Mathematics
DeepLearning.AI
Skills you'll gain: Machine Learning, Calculus, Differential Equations, Mathematics, Machine Learning Algorithms, Regression, Algebra, Algorithms, Artificial Neural Networks
Universidade de São Paulo
Skills you'll gain: Probability & Statistics, General Statistics, Statistical Tests, Statistical Analysis, Basic Descriptive Statistics, Probability Distribution
University at Buffalo
Skills you'll gain: Computer Vision, Matlab
École Polytechnique Fédérale de Lausanne
Skills you'll gain: Mathematics, Mathematical Theory & Analysis
Johns Hopkins University
Skills you'll gain: Calculus, Mathematics
Skills you'll gain: Data Analysis, Feature Engineering, Matlab
Johns Hopkins University
- Status: Free
University of Geneva
Skills you'll gain: Probability & Statistics, General Statistics
École Polytechnique Fédérale de Lausanne
Skills you'll gain: Mathematics, Plot (Graphics)
In summary, here are 10 of our most popular cosine+similarity courses
- Fibonacci Numbers and the Golden Ratio: The Hong Kong University of Science and Technology
- Image Segmentation, Filtering, and Region Analysis: MathWorks
- 頑想學概率:機率一 (Probability (1)): National Taiwan University
- Calculus for Machine Learning and Data Science: DeepLearning.AI
- Estatística não-paramétrica para a tomada de decisão: Universidade de São Paulo
- Computer Vision Basics: University at Buffalo
- Digital Signal Processing 2: Filtering: École Polytechnique Fédérale de Lausanne
- Calculus through Data & Modelling: Vector Calculus: Johns Hopkins University
- Data Processing and Feature Engineering with MATLAB: MathWorks
- Linear Algebra: Orthogonality and Diagonalization: Johns Hopkins University