Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "mathématiques appliquées"
- Status: Preview
Institut Mines-Télécom
Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Python Programming, Computer Programming, Medical Imaging, Mathematical Theory & Analysis, Algorithms, Plot (Graphics), Applied Mathematics, Probability & Statistics
- Status: Preview
Institut Mines-Télécom
Skills you'll gain: Image Analysis, Computer Vision, Data Processing, Computer Programming, Unsupervised Learning, Medical Imaging, Python Programming, Histogram, Algorithms
- Status: Preview
Universidad de Palermo
Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, General Mathematics, Graphing
- Status: NewStatus: Free Trial
Birla Institute of Technology & Science, Pilani
Skills you'll gain: Theoretical Computer Science, Programming Principles, Cryptography, Algorithms, Applied Mathematics, Probability & Statistics, Data Management
- Status: Preview
Stanford University
Skills you'll gain: Mathematical Theory & Analysis, Mathematics and Mathematical Modeling, Calculus, Deductive Reasoning, Logical Reasoning
- Status: Preview
University of North Texas
Skills you'll gain: Arithmetic, Probability & Statistics, Graphing, Geometry, Statistics, Algebra, Applied Mathematics, Systems Of Measurement
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability
- Status: NewStatus: Free Trial
Birla Institute of Technology & Science, Pilani
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Numerical Analysis, Machine Learning, Artificial Neural Networks, Dimensionality Reduction, Data Analysis
- Status: Preview
University of Michigan
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Algorithms, Software Installation, Computational Thinking, Development Environment
- Status: Free Trial
Imperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Science, Jupyter, Algorithms, Python Programming, Machine Learning
- Status: NewStatus: Free Trial
University of Pittsburgh
Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization
In summary, here are 10 of our most popular mathématiques appliquées courses
- Traitement d'images : introduction au filtrage: Institut Mines-Télécom
- Traitement d'images : segmentation et caractérisation: Institut Mines-Télécom
- Matemática Preuniversitaria: Universidad de Palermo
- Discrete Mathematics for Computer Science and Engineering: Birla Institute of Technology & Science, Pilani
- Introduction to Mathematical Thinking: Stanford University
- Math Prep: College & Work Ready: University of North Texas
- Linear Algebra from Elementary to Advanced: Johns Hopkins University
- Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
- Programmation pour tous (mise en route de Python): University of Michigan
- Mathematics for Machine Learning: Linear Algebra: Imperial College London