Results for "classification of ml"
Status: NewStatus: Free TrialSkills you'll gain: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), CI/CD, Statistical Methods, Data Quality, Real Time Data, Resource Management
Status: Free TrialDuke University
Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Application Deployment, Responsible AI, 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 TrialMultiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming
Status: Free TrialImperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability
Status: Free TrialDeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation
What brings you to Coursera today?
Status: Free TrialMicrosoft
Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Application Deployment
Status: Free TrialUniversity of Washington
Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms, Big Data
Status: Free TrialSkills you'll gain: AWS Kinesis, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Scalability, Forecasting, Feature Engineering, Algorithms, Machine Learning, Technical Design, Data Analysis, Real Time Data, Predictive Modeling, Applied Machine Learning, Data Modeling
Status: NewStatus: Free TrialSkills you'll gain: Generative AI, Supervised Learning, Generative Model Architectures, AWS SageMaker, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Deep Learning, A/B Testing, Python Programming, Machine Learning, Data Analysis, Data Processing, AWS CloudFormation, AI Personalization, Network Architecture
Status: Free TrialGoogle Cloud
Skills you'll gain: Feature Engineering, Responsible AI, Generative AI, Tensorflow, Generative AI Agents, Keras (Neural Network Library), Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Applied Machine Learning, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Data Cleansing, Prompt Engineering, Data Strategy, OpenAI, Cloud Computing
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Keras (Neural Network Library), Artificial Neural Networks, Python Programming, Classification And Regression Tree (CART), Data Science, Tensorflow, Mathematical Modeling, Computer Vision
In summary, here are 10 of our most popular classification of ml courses
- Azure ML Bootcamp: Machine Learning on the Cloud: Packt
- MLOps | Machine Learning Operations: Duke University
- Machine Learning: DeepLearning.AI
- Mathematics for Machine Learning: Imperial College London
- Linear Algebra from Elementary to Advanced: Johns Hopkins University
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- Microsoft AI & ML Engineering: Microsoft
- Machine Learning: University of Washington
- Exam Prep MLS-C01: AWS Certified Specialty Machine Learning: Whizlabs
- Data Science Beyond the Basics (ML+DS): Coursera
