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Explore the Applied Machine Learning Course Catalog
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
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming
Johns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Statistical Machine Learning, Deep Learning, Artificial Neural Networks, Decision Tree Learning
Skills you'll gain: Supervised Learning, Feature Engineering, Jupyter, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Python Programming, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Classification And Regression Tree (CART), Matplotlib, Regression Analysis, Random Forest Algorithm, Statistical Modeling, Data Manipulation
Alberta Machine Intelligence Institute
Skills you'll gain: Data Ethics, Applied Machine Learning, Data Processing, Machine Learning, Machine Learning Algorithms, Supervised Learning, Data Modeling, Business Requirements, Data Quality, Business Analysis, Unsupervised Learning, Performance Metric
University of Washington
Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms, Big Data, Statistical Inference
DeepLearning.AI
Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Supervised Learning, Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Machine Learning Methods, Python Programming, Data-Driven Decision-Making, Text Mining, Machine Learning Algorithms
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Generative AI, Dimensionality Reduction, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Data Analysis, Statistical Methods, Regression Analysis, Statistical Inference, Machine Learning, Statistical Analysis, Data Access, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library)
DeepLearning.AI
Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines
- Status: New
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
Microsoft
Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Machine Learning Software, Regression Analysis, Predictive Modeling, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Supervised Learning
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Unit Testing, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)
Applied Machine Learning learners also search
In summary, here are 10 of our most popular applied machine learning courses
- Applied Machine Learning in Python:Â University of Michigan
- Machine Learning:Â DeepLearning.AI
- Applied Machine Learning:Â Johns Hopkins University
- Machine Learning with Python:Â IBM
- Introduction to Applied Machine Learning:Â Alberta Machine Intelligence Institute
- Machine Learning:Â University of Washington
- Deep Learning:Â DeepLearning.AI
- IBM Machine Learning:Â IBM
- Machine Learning in Production:Â DeepLearning.AI
- Applied Machine Learning with Python:Â Edureka