Filter by
The language used throughout the course, in both instruction and assessments.
Results for "machine+learning+(ml)+algorithms"
DeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Transformation, Data Manipulation, Data Science, Machine Learning Algorithms, Applied Mathematics, Python Programming
Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Dimensionality Reduction, Data Cleansing, Applied Machine Learning, Data Access, Regression Analysis, Data Analysis, Machine Learning, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Probability & Statistics, Data Validation, Predictive Modeling
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
University of London
Skills you'll gain: Applied Machine Learning, Feature Engineering, Machine Learning, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Data Collection, Development Testing
Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Generative AI, Dimensionality Reduction, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Data Access, Deep Learning, Data Analysis, Regression Analysis, Machine Learning, Statistical Analysis, Statistical Inference, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library)
University of Michigan
Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Dimensionality Reduction, Random Forest Algorithm, Regression Analysis, Artificial Neural Networks
Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Data Infrastructure, MLOps (Machine Learning Operations), Application Deployment, Data Cleansing, Artificial Intelligence, Continuous Deployment, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scikit Learn (Machine Learning Library), Scalability, Feature Engineering, Version Control
Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Generative AI, Keras (Neural Network Library), Unsupervised Learning, Natural Language Processing, Jupyter, Reinforcement Learning, Deep Learning, Regression Analysis, Data Manipulation, Statistical Analysis, Tensorflow, Verification And Validation, Scikit Learn (Machine Learning Library), Python Programming, ChatGPT, Artificial Neural Networks, Data Processing, Machine Learning Algorithms
Duke University
Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Computer Vision, Supervised Learning, Statistical Methods, Natural Language Processing, Predictive Modeling, Performance Metric
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Rust (Programming Language), DevOps, Cloud Development, Google Cloud Platform, Applied Machine Learning, CI/CD, Cloud Computing, Generative AI, Python Programming, Serverless Computing, Application Frameworks, GitHub
DeepLearning.AI
Skills you'll gain: Generative AI, OpenAI, ChatGPT, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Business Process Automation, Automation, Ethical Standards And Conduct, Machine Learning, Feasibility Studies, Cloud Applications, Reinforcement Learning
Google Cloud
Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Distributed Computing, Unsupervised Learning
In summary, here are 10 of our most popular machine+learning+(ml)+algorithms courses
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
- IBM Introduction to Machine Learning: IBM
- Introduction to Machine Learning: Duke University
- Machine Learning for All: University of London
- IBM Machine Learning: IBM
- Applied Machine Learning in Python: University of Michigan
- Foundations of AI and Machine Learning: Microsoft
- IBM AI Engineering: IBM
- Machine Learning Foundations for Product Managers: Duke University
- DevOps, DataOps, MLOps: Duke University