Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "ml algorithms"
University of California, Santa Cruz
Skills you'll gain: Go (Programming Language), Debugging, C (Programming Language), Data Structures, C++ (Programming Language), Object Oriented Programming (OOP), Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Computer Science, Software Testing, File Systems, Computational Thinking, Integration Testing, Software Technical Review, System Programming, File Management
Duke University
Skills you'll gain: Debugging, Java, Algorithms, Program Development, Programming Principles, Statistical Analysis, Software Design, Computer Programming, Integrated Development Environments, Data Processing, Data Manipulation, Object Oriented Programming (OOP), Data Analysis, Development Environment
- 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
Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Numerical Analysis, Geometry, Statistical Analysis, Machine Learning Methods, Artificial Neural Networks, Algorithms, Data Manipulation, Machine Learning
University of Colorado Boulder
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Statistical Machine Learning, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Statistical Visualization, Python Programming, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Statistical Modeling, Feature Engineering, Performance Tuning
Johns Hopkins University
Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, R Programming, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Analysis
- Status: Free
Edge Impulse
Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Supervised Learning, Feature Engineering
Wesleyan University
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Statistical Machine Learning, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Data Analysis, Data Science, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis
Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Artificial Neural Networks, Computer Vision, Regression Analysis
Multiple educators
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Mining, Pandas (Python Package), Data Visualization Software, Correlation Analysis, Web Scraping, NumPy, R Programming, Probability & Statistics, Predictive Modeling, Big Data, Automation, Computer Programming Tools, GitHub, Data Analysis Software, Machine Learning Algorithms, Unsupervised Learning
Skills you'll gain: Unsupervised Learning, Deep Learning, Anomaly Detection, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Data Import/Export, Artificial Neural Networks, Data Modeling, Data Manipulation, Statistical Modeling
Duke University
Skills you'll gain: Object Oriented Programming (OOP), Java, Hypertext Markup Language (HTML), Software Design, Data Structures, Debugging, Web Design and Development, Software Engineering, Cryptography, Cascading Style Sheets (CSS), Web Development, Programming Principles, Javascript, Encryption, Algorithms, Program Development, Web Applications, Front-End Web Development, Statistical Analysis, Computer Programming
In summary, here are 10 of our most popular ml algorithms courses
- C and Go: Classical and Modern Programming:Â University of California, Santa Cruz
- Java Programming: Solving Problems with Software:Â Duke University
- 機器å¸ç¿’基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
- Mathematics for Machine Learning:Â Imperial College London
- Introduction to Machine Learning: Supervised Learning:Â University of Colorado Boulder
- Practical Machine Learning:Â Johns Hopkins University
- Introduction to Embedded Machine Learning:Â Edge Impulse
- Machine Learning for Data Analysis:Â Wesleyan University
- Introduction to Machine Learning:Â Duke University
- Data Science Foundations:Â IBM