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Results for "introduction to machine learning"
- Status: Free Trial
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
- Status: Free Trial
Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Statistical Analysis, Artificial Neural Networks, Algorithms, Python Programming, Machine Learning, Derivatives
- Status: Free Trial
Google Cloud
Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, Data Ethics, Google Cloud Platform, Business Ethics, Application Development, Artificial Intelligence, Accountability, Compliance Training, Ethical Standards And Conduct, Artificial Intelligence and Machine Learning (AI/ML), Governance, Organizational Effectiveness, Machine Learning Methods, Decision Making, Corporate Strategy
- Status: Free Trial
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), Statistical Machine Learning, Advanced Analytics, Deep Learning, Artificial Neural Networks, Decision Tree Learning
- Status: Free Trial
Skills you'll gain: Prompt Engineering, Software Development Life Cycle, Large Language Modeling, Software Architecture, ChatGPT, Development Environment, Flask (Web Framework), Generative AI, Cascading Style Sheets (CSS), Unit Testing, Bootstrap (Front-End Framework), Software Design, Software Development Tools, Software Engineering, Responsive Web Design, Data Import/Export, Python Programming, Engineering Software, Machine Learning, Data Science
- Status: Free Trial
University of Michigan
Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Python Programming, Random Forest Algorithm
- Status: Free Trial
Microsoft
Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Regression Analysis, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Artificial Intelligence, Automation, Supervised Learning
- Status: Free Trial
University of Michigan
Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm
- Status: Free Trial
Google Cloud
Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, 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
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Machine Learning, Python Programming, Artificial Intelligence
DeepLearning.AI
Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines
- Status: Free Trial
Skills you'll gain: Prompt Engineering, Large Language Modeling, Predictive Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), Generative AI, ChatGPT, Supervised Learning, Keras (Neural Network Library), Flask (Web Framework), Exploratory Data Analysis, Feature Engineering, Data Wrangling, Unit Testing, Deep Learning, Data Analysis, Generative AI Agents, Applied Machine Learning, Application Deployment, Data Import/Export
Searches related to introduction to machine learning
In summary, here are 10 of our most popular introduction to machine learning courses
- MLOps | Machine Learning Operations: Duke University
- Mathematics for Machine Learning: Imperial College London
- Introduction to Generative AI Learning Path: Google Cloud
- Applied Machine Learning: Johns Hopkins University
- IBM AI Developer: IBM
- Introduction to Machine Learning in Sports Analytics: University of Michigan
- Microsoft Azure Machine Learning: Microsoft
- Applied Machine Learning in Python: University of Michigan
- Advanced Machine Learning on Google Cloud: Google Cloud
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI