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Results for "introduction to machine learning"
Skills you'll gain: Generative AI, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Tensorflow, Computer Vision, Dimensionality Reduction, Network Architecture, Natural Language Processing, NumPy
- Status: New
Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Data Import/Export, Artificial Intelligence, Scientific Visualization, Computer Vision, Time Series Analysis and Forecasting
Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives
Coursera Project Network
Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, Machine Learning, Predictive Analytics, Feature Engineering, Data Processing, Data Cleansing, Application Deployment, Exploratory Data Analysis
Johns Hopkins University
Skills you'll gain: Bioinformatics, Data Science, Science and Research, Data Analysis, Programming Principles, Computer Science, Statistical Analysis, Computational Thinking, Life Sciences, Big Data, Biostatistics, Statistical Methods, Software Engineering, Algorithms
University of California San Diego
Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Analysis, Data Storage
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Systems Development, Simulations, Solution Architecture, Markov Model, Supervised Learning, Artificial Neural Networks, Applied Machine Learning, Performance Testing, Algorithms, Statistical Methods, Pseudocode, Linear Algebra, Probability Distribution
Stanford University
Skills you'll gain: Pharmaceuticals, Health Systems, Healthcare Industry Knowledge, Health Care, Health Care Administration, Health Care Procedure and Regulation, Medicare, Quality Improvement, Quality Assessment, Performance Measurement, Regulatory Affairs, Payment Systems, Financial Systems, Insurance, Billing Systems, Business Ethics, Ethical Standards And Conduct
Skills you'll gain: SQL, Jupyter, Data Mining, Peer Review, Data Modeling, Relational Databases, Databases, Stored Procedure, Database Management, Database Design, Data Science, Big Data, Data Cleansing, Data Visualization Software, Software Development Tools, Query Languages, GitHub, Business Analysis, Cloud Computing, Data Analysis
Arizona State University
Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative AI, Deep Learning, Image Analysis, Machine Learning Algorithms, Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Computer Vision, Predictive Modeling, Regression Analysis
- Status: Free
Deep Teaching Solutions
Skills you'll gain: Learning Strategies, Time Management, Willingness To Learn, Mental Concentration, Creativity, Persistence, Self-Discipline, Stress Management, Self-Awareness, Adaptability
New York University
Skills you'll gain: Security Engineering, Threat Modeling, Distributed Denial-Of-Service (DDoS) Attacks, Cyber Attacks, Cybersecurity, Threat Management, Cyber Risk, Threat Detection, Information Systems Security, Network Security, Computer Security, Malware Protection
Searches related to introduction to machine learning
In summary, here are 10 of our most popular introduction to machine learning courses
- Deep Learning and Reinforcement Learning:Â IBM
- IBM Deep Learning with PyTorch, Keras and Tensorflow:Â IBM
- Mathematics for Machine Learning: Multivariate Calculus:Â Imperial College London
- Machine Learning Pipelines with Azure ML Studio:Â Coursera Project Network
- Introduction to Genomic Technologies:Â Johns Hopkins University
- Introduction to Big Data:Â University of California San Diego
- Reinforcement Learning:Â University of Alberta
- Introduction to Healthcare:Â Stanford University
- Introduction to Data Science:Â IBM
- Introduction to Machine Learning with Python:Â Arizona State University