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Results for "introduction to machine learning"
- 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
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
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
- 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 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
- Status: Free Trial
Skills you'll gain: Exploratory Data Analysis, Prompt Engineering, Data Wrangling, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), Generative AI, ChatGPT, Keras (Neural Network Library), Data Transformation, Flask (Web Framework), Supervised Learning, Data Analysis, Data Cleansing, Data Manipulation, Unit Testing, Deep Learning, Jupyter, Regression Analysis, Data Import/Export
- 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, Jupyter, Bootstrap (Front-End Framework), Software Design, Software Development Tools, Software Engineering, Responsive Web Design, Python Programming, Engineering Software, Machine Learning, Data Science
University of Virginia
Skills you'll gain: Mechanics, Torque (Physics), Physics, Energy and Utilities, Experimentation
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Keras (Neural Network Library), Python Programming, Machine Learning Algorithms, Analysis, Data Processing
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
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
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
Searches related to introduction to machine learning
In summary, here are 10 of our most popular introduction to machine learning courses
- Mathematics for Machine Learning:Â Imperial College London
- Introduction to DevOps:Â IBM
- Introduction to Cybersecurity Essentials:Â IBM
- Introduction to Data Engineering:Â IBM
- Exploratory Data Analysis for Machine Learning:Â IBM
- IBM Generative AI Engineering:Â IBM
- IBM AI Developer:Â IBM
- How Things Work: An Introduction to Physics:Â University of Virginia
- Deep Learning:Â DeepLearning.AI
- Machine Learning Basics:Â Sungkyunkwan University