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Results for "general mathematics"
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Graphing, Algebra, Mathematical Modeling, Predictive Modeling, Arithmetic, Advanced Mathematics, Applied Mathematics, Linear Algebra, Business Mathematics, Geometry, Scientific Methods
- Status: NewStatus: Free Trial
Board Infinity
Skills you'll gain: Arithmetic, Algebra, Advanced Mathematics, Computational Logic, General Mathematics, Logical Reasoning, Applied Mathematics, Deductive Reasoning
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Image Analysis, Applied Machine Learning, Engineering Calculations, Geometry, Advanced Mathematics, Mathematical Modeling, Markov Model, Numerical Analysis, Data Transformation
- Status: Free Trial
Imperial College London
Skills you'll gain: Linear Algebra, NumPy, Machine Learning Algorithms, Applied Mathematics, Graph Theory, Algorithms, Python Programming, Data Transformation
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Machine Learning Algorithms, Dimensionality Reduction, Python Programming, Machine Learning, Artificial Neural Networks
- Status: Free Trial
Multiple educators
Skills you'll gain: Unsupervised Learning, Machine Learning, Anomaly Detection, Reinforcement Learning, Supervised Learning, Feature Engineering, Decision Tree Learning, Classification And Regression Tree (CART), Data Ethics, Tensorflow, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Python Programming, NumPy, Artificial Neural Networks
The University of Sydney
Skills you'll gain: Linear Algebra, Geometry, Algebra, Arithmetic, Applied Mathematics, Computational Logic, Computer Graphics
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Bayesian Statistics, Probability Distribution, Probability & Statistics, Sampling (Statistics), Probability, A/B Testing, Statistics, Data Science, Statistical Analysis, Statistical Inference
- Status: Preview
Stanford University
Skills you'll gain: Computational Logic, Logical Reasoning, Computational Thinking, Theoretical Computer Science, Computer Science, Problem Solving, Technology Solutions, Relational Databases, Verification And Validation
- Status: Preview
Johns Hopkins University
Skills you'll gain: Data Literacy, Linear Algebra, Statistical Visualization, Data Visualization, Mathematical Modeling, Bayesian Statistics, Dimensionality Reduction, Probability & Statistics, Descriptive Statistics, Statistical Methods, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability Distribution, Applied Mathematics, Advanced Mathematics, Calculus, Statistical Modeling, Algebra, Integral Calculus
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Mathematical Modeling, Graphing, Data Analysis, Trigonometry, R Programming, Algebra, Regression Analysis, Correlation Analysis, Applied Mathematics, Statistical Analysis, Systems Of Measurement, Geometry
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Calculus, Trigonometry, Algebra, Applied Mathematics, Graphing, Mathematical Modeling, Derivatives, Estimation, Linear Algebra, Advanced Mathematics, Geometry, Physics, Data Analysis
In summary, here are 10 of our most popular general mathematics courses
- Algebra: Elementary to Advanced: Johns Hopkins University
- Quantitative Aptitude Mastery— Exam & Recruitment Prep: Board Infinity
- Linear Algebra from Elementary to Advanced: Johns Hopkins University
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
- Machine Learning: DeepLearning.AI
- Introduction to Linear Algebra: The University of Sydney
- Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
- Introduction to Logic: Stanford University
- Foundational Mathematics for AI: Johns Hopkins University