Filter by
The language used throughout the course, in both instruction and assessments.
Results for "ml+algorithms"
Skills you'll gain: Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Supervised Learning, Computer Vision, Machine Learning, Natural Language Processing
Coursera Project Network
Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Bayesian Network, Machine Learning
Skills you'll gain: Unsupervised Learning, Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Data-Driven Decision-Making, Regression Analysis, Machine Learning Methods, Machine Learning, Decision Tree Learning, Data Mining, Python Programming, Analytics, Statistical Modeling, Predictive Modeling, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Random Forest Algorithm, Feature Engineering
Fred Hutchinson Cancer Center
Skills you'll gain: ChatGPT, Generative AI, Data Ethics, Algorithms, Artificial Intelligence, Predictive Analytics, Machine Learning, Ethical Standards And Conduct, Diversity Awareness, Data-Driven Decision-Making, Software Documentation
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Application Lifecycle Management, DevOps, Continuous Deployment, Application Deployment, Software Development Life Cycle, Automation, Cloud Solutions, Machine Learning, Applied Machine Learning, Data Management
Skills you'll gain: Data Structures, C++ (Programming Language), Programming Principles, Algorithms, Theoretical Computer Science, Object Oriented Programming (OOP)
Skills you'll gain: Computational Thinking, Algorithms, Graph Theory, Data Structures, Computer Programming, C++ (Programming Language), Object Oriented Programming (OOP)
Johns Hopkins University
Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Exploratory Data Analysis
Northeastern University
Skills you'll gain: Linear Algebra, Statistical Machine Learning, Statistical Modeling, Probability, Probability & Statistics, Data Validation, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, General Mathematics, Machine Learning, Applied Mathematics, Algorithms, Statistical Inference, Advanced Mathematics, Verification And Validation, Dimensionality Reduction
Google Cloud
Skills you'll gain: Google Cloud Platform, CI/CD, Apache Airflow, MLOps (Machine Learning Operations), Tensorflow, Data Pipelines, Kubernetes, Metadata Management, PyTorch (Machine Learning Library), Containerization, Machine Learning
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Continuous Integration, Google Cloud Platform, Tensorflow, Kubernetes, Continuous Deployment, Scikit Learn (Machine Learning Library), Containerization, Machine Learning
Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Predictive Modeling, Applied Machine Learning, Google Cloud Platform, Performance Testing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence
Searches related to ml+algorithms
In summary, here are 10 of our most popular ml+algorithms courses
- Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
- ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera Project Network
- Applied Machine Learning with Python: Edureka
- Practical Steps for Building Fair AI Algorithms: Fred Hutchinson Cancer Center
- Machine Learning Operations (MLOps): Getting Started - í•œêµì–´: Google Cloud
- C++: Linear Data Structures and Trees: Codio
- C++: Non-Linear Data Structures: Codio
- Advanced Methods in Machine Learning Applications: Johns Hopkins University
- Foundations of Statistical Learning & Algorithms: Northeastern University
- ML Pipelines on Google Cloud - Français: Google Cloud