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Results for "introduction to machine learning"
- Status: Free
Coursera Project Network
Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, Machine Learning, Supervised Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Data Cleansing, Application Deployment
- Status: New
Northeastern University
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Governance, Data Ethics, Applied Machine Learning, Data Processing, Risk Mitigation, Algorithms, Business Ethics, Data Governance, Data Collection, Regulatory Requirements, Business, Business Strategy, Business Planning
- Status: Free Trial
Skills you'll gain: DevOps, Agile Methodology, Cloud-Native Computing, CI/CD, Test Driven Development (TDD), Scrum (Software Development), Behavior-Driven Development, Performance Metric, Accountability, Team Oriented, Culture Transformation, Microservices, Cross-Functional Collaboration
- Status: Free Trial
University of Pennsylvania
Skills you'll gain: Operations Management, Return On Investment, Operational Efficiency, Financial Statements, Financial Statement Analysis, Finance, Human Capital, Go To Market Strategy, Process Analysis, Branding, Process Management, People Management, Financial Reporting, Capital Budgeting, Financial Accounting, Financial Modeling, Marketing, Marketing Planning, Peer Review, Corporate Finance
- Status: Free Trial
Skills you'll gain: Cybersecurity, Cyber Attacks, Security Awareness, Hardening, Data Security, Application Security, Computer Security Awareness Training, Network Security, Personally Identifiable Information, Information Systems Security, Security Controls, Threat Management, Malware Protection, Cryptography, Encryption, Multi-Factor Authentication, Authentications
Sungkyunkwan University
Skills you'll gain: Machine Learning Algorithms, Machine Learning, Python Programming, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Regression Analysis, Data Analysis, Statistical Methods, Linear Algebra, Probability
- Status: Free Trial
Skills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security, Data Science
- Status: Free TrialStatus: AI skills
Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Image Analysis, Data Manipulation, Artificial Neural Networks, Verification And Validation, Generative AI, Data Processing, Tensorflow, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Computer Vision, Artificial Intelligence, Scientific Visualization, Regression Analysis
- Status: Free Trial
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Inference, Statistical Hypothesis Testing, Data Processing, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Data Transformation, Workflow Management, Scalability
DeepLearning.AI
Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Data Science, Needs Assessment, Deep Learning, Business Ethics, Artificial Neural Networks, Engineering Management
Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, IBM Cloud, Keras (Neural Network Library), Cloud Applications, Deep Learning, Tensorflow, Visualization (Computer Graphics), PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Application Deployment, Augmented Reality, Machine Learning, Data Processing
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization
Searches related to introduction to machine learning
In summary, here are 10 of our most popular introduction to machine learning courses
- Machine Learning Pipelines with Azure ML Studio: Coursera Project Network
- Introduction to Machine Learning and Algorithmic Bias: Northeastern University
- Introduction to DevOps: IBM
- Business Foundations: University of Pennsylvania
- Introduction to Cybersecurity Essentials: IBM
- Machine Learning Basics: Sungkyunkwan University
- Introduction to Data Engineering: IBM
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- Exploratory Data Analysis for Machine Learning: IBM
- AI For Everyone: DeepLearning.AI