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Results for "support vector machine (svm) theory and implementation"
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Statistical Methods, Statistical Hypothesis Testing, Databases, Stored Procedure, Web Scraping, Relational Databases, Automation, Data Science, GitHub, Python Programming
Coursera Project Network
Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Python Programming
Multiple educators
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Automation, Data Visualization Software, Data Collection, Data Science, GitHub, Python Programming, Machine Learning Algorithms, Unsupervised Learning
Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Applied Mathematics, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Deep Learning, Mathematical Theory & Analysis, Python Programming, Derivatives
University of Pennsylvania
Skills you'll gain: Financial Statements, Return On Investment, Financial Statement Analysis, Finance, Financial Reporting, Capital Budgeting, Financial Accounting, Financial Modeling, Working Capital, Balance Sheet, Accrual Accounting, Accounting, Cash Flows, Income Statement, Generally Accepted Accounting Principles (GAAP), Financial Analysis, Tax Planning, Equities, Financial Planning, Corporate Finance
- Status: Free
École Polytechnique
Skills you'll gain: Differential Equations, Computational Logic, Numerical Analysis, Linear Algebra, Mathematical Modeling, Applied Mathematics, Advanced Mathematics
- Status: Free
National Taiwan University
Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Theoretical Computer Science, Applied Mathematics, Statistical Methods, Regression Analysis, Algorithms, Artificial Intelligence
Stanford University
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Computational Thinking, Network Analysis, Network Routing, Mathematical Theory & Analysis, Analysis, Probability, Design Strategies, Computer Science
University of Colorado Boulder
Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Statistics, Bayesian Statistics, Statistical Methods, Statistical Analysis, Data Analysis
Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Statistical Visualization, Relational Databases, Big Data, Ggplot2, Database Design, Data Analysis, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel
Coursera Project Network
Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning
Multiple educators
Skills you'll gain: Network Security, Incident Response, Cloud Computing Architecture, Peripheral Devices, Penetration Testing, Computer Security Incident Management, Cloud Services, Security Controls, Business Continuity, Disaster Recovery, Information Assurance, System Configuration, Cybersecurity, Configuration Management, Computing Platforms, Cloud Security, Cloud Infrastructure, Network Troubleshooting, Security Awareness, Cloud Platforms
In summary, here are 10 of our most popular support vector machine (svm) theory and implementation courses
- Data Science Fundamentals with Python and SQL: IBM
- Linear Regression with Python: Coursera Project Network
- Data Science Foundations: IBM
- Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
- Introduction to Finance and Accounting: University of Pennsylvania
- Density Functional Theory: École Polytechnique
- 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
- Algorithms: Stanford University
- Probability Theory: Foundation for Data Science: University of Colorado Boulder
- IBM Data Analytics with Excel and R: IBM