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Results for "introduction to machine learning"
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Applied Machine Learning, Algorithms
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
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
University of Washington
Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming
Google Cloud
Skills you'll gain: Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Predictive Modeling, Financial Forecasting, Quantitative Research, Financial Modeling, Forecasting, Regression Analysis
Johns Hopkins University
Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, R Programming, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Analysis
University of Washington
Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Supervised Learning, Predictive Modeling, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Machine Learning, Natural Language Processing, Real Time Data, Probability & Statistics, Algorithms
New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Reinforcement Learning, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Statistical Modeling, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Finance
Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Artificial Neural Networks, Computer Vision, Artificial Intelligence, Deep Learning, Image Analysis, Machine Learning, Performance Tuning
Duke University
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Data Analysis, Cloud Development, Applied Machine Learning, Predictive Modeling, Application Deployment, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms
Coursera Project Network
Skills you'll gain: Keras (Neural Network Library), Image Analysis, Data Processing, Data Manipulation, Visualization (Computer Graphics), Computer Vision, Deep Learning, Python Programming, Machine Learning
New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Statistical Methods, Artificial Neural Networks, Statistical Modeling, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Financial Services, Finance, Financial Market, Unsupervised Learning, Tensorflow, Reinforcement Learning
Searches related to introduction to machine learning
In summary, here are 10 of our most popular introduction to machine learning courses
- Fundamentals of Reinforcement Learning:Â University of Alberta
- DevOps, DataOps, MLOps:Â Duke University
- Applied Machine Learning:Â Johns Hopkins University
- Machine Learning Foundations: A Case Study Approach:Â University of Washington
- Introduction to Trading, Machine Learning & GCP:Â Google Cloud
- Practical Machine Learning:Â Johns Hopkins University
- Machine Learning: Classification:Â University of Washington
- Machine Learning and Reinforcement Learning in Finance:Â New York University
- Getting Started with Machine Learning at the Edge on Arm:Â Arm
- MLOps Platforms: Amazon SageMaker and Azure ML:Â Duke University