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- Status: Free
Edge Impulse
Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Embedded Software, Deep Learning, Data Ethics, Machine Learning, Artificial Intelligence, Python Programming
Skills you'll gain: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Machine Learning, Predictive Modeling, Application Programming Interface (API), Automation
Imperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming
Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, Cloud Solutions, Artificial Intelligence, Cloud Computing, Software Development Tools, Development Environment, Machine Learning, Automation, Application Programming Interface (API)
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Statistical Modeling, Probability, Correlation Analysis, Data Science, Data Analysis
University of Pennsylvania
Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Unsupervised Learning, Reinforcement Learning, Deep Learning, Image Analysis, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Predictive Modeling, Applied Machine Learning, Statistical Methods, Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Artificial Intelligence, Machine Learning, Computer Vision
DeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Applied Machine Learning, Machine Learning, Supervised Learning, Machine Learning Algorithms, Network Architecture, Algorithms, Analysis, Debugging
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Data Processing, Software Development Life Cycle, Machine Learning, Data Cleansing, Technology Solutions, Data Collection, Data Science, Systems Architecture, System Design and Implementation, Continuous Monitoring, Software Versioning
- Status: Free
Skills you'll gain: Apache Spark, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Feature Engineering, Data Processing, Extract, Transform, Load, Predictive Modeling, Data Transformation, Regression Analysis
Skills you'll gain: Cloud Computing, Python Programming, Machine Learning, Machine Learning Software, Microsoft Azure, Applied Machine Learning, Cloud Applications, Human Learning, Cloud Platforms, Machine Learning Algorithms, Computer Programming
Skills you'll gain: Apache, Big Data, Machine Learning, Human Learning, Machine Learning Algorithms, Data Science
Searches related to introduction to machine learning
In summary, here are 10 of our most popular introduction to machine learning courses
- Computer Vision with Embedded Machine Learning: Edge Impulse
- Introduction to AI and Machine Learning on GC - Français: Google Cloud
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
- Introduction to AI and Machine Learning on GC - Español: Google Cloud
- Data Science: Statistics and Machine Learning: Johns Hopkins University
- Machine Learning Essentials: University of Pennsylvania
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
- Managing Machine Learning Projects: Duke University
- Machine Learning with Apache Spark: IBM