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Results for "mathématiques appliquées"
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University of Pittsburgh
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
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The Hong Kong University of Science and Technology
Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Calculations, Engineering Analysis, Numerical Analysis, Finite Element Methods, Integral Calculus, Mathematical Software, Mechanical Engineering, Calculus, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Simulation and Simulation Software, Advanced Mathematics, Geometry, Computational Thinking, Estimation
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École Polytechnique
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Simulations, Interactive Data Visualization, Statistics, Mathematical Theory & Analysis, Mathematical Modeling, Applied Mathematics
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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
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Deep Teaching Solutions
Skills you'll gain: Differentiated Instruction, Willingness To Learn, Persistence, Learning Theory, Problem Solving
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Birla Institute of Technology & Science, Pilani
Skills you'll gain: Engineering Calculations, Data Analysis, Trigonometry, Engineering Analysis, Probability & Statistics, Computational Logic, Statistical Analysis, Linear Algebra, Logical Reasoning, Deductive Reasoning, Calculus, Analytics, Bayesian Statistics, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Differential Equations, Statistical Inference, Theoretical Computer Science, Programming Principles, Descriptive Analytics
What brings you to Coursera today?
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Johns Hopkins University
Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Arithmetic, Advanced Mathematics, Applied Mathematics, General Mathematics, Mathematical Theory & Analysis, Analytical Skills, Probability & Statistics, Geometry
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DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Mathematical Modeling, Machine Learning, Machine Learning Methods, Jupyter
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École Polytechnique
Skills you'll gain: Probability, Probability Distribution, Statistical Methods, Sampling (Statistics), Statistical Inference, Simulations, Statistical Modeling
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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
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École normale supérieure
Skills you'll gain: Algebra, Linear Algebra, General Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Arithmetic
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University of California San Diego
Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Network Routing
In summary, here are 10 of our most popular mathématiques appliquées courses
- Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
- Mathematics for Engineers: The Hong Kong University of Science and Technology
- Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
- Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
- Making Math Click: Understand Math Without Fear: Deep Teaching Solutions
- Mathematics for Engineering: Birla Institute of Technology & Science, Pilani
- Algebra: Elementary to Advanced: Johns Hopkins University
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
- Linear Algebra from Elementary to Advanced: Johns Hopkins University