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Results for "using machine learning in science and engineering"
Coursera Project Network
Skills you'll gain: Data Cleansing, Data Processing, Pandas (Python Package), Applied Machine Learning, Data Analysis, Data Import/Export, Classification And Regression Tree (CART), Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Machine Learning, Supervised Learning
Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Software Development Life Cycle, Linux Commands, Agile Software Development, Unit Testing, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Kubernetes, Bash (Scripting Language), Cloud Services, DevOps, Git (Version Control System), Jupyter, Grafana
- Status: Free
National Taiwan University
Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Theoretical Computer Science, Applied Mathematics, Statistical Methods, Regression Analysis, Algorithms, Artificial Intelligence
University of Michigan
Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis, Data Processing, Unstructured Data
- Status: Free
Georgia Institute of Technology
Skills you'll gain: Engineering Analysis, Mechanics, Torque (Physics), Engineering Calculations, Mechanical Engineering, Engineering, Civil Engineering, Structural Analysis, Physics
Google
Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Productivity Software, Artificial Intelligence, Data Ethics, Security Awareness, Business Workflow Analysis, Innovation, Automation, Workflow Management, Information Privacy, Human Computer Interaction, Content Creation, Natural Language Processing, Complex Problem Solving
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
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Statistical Methods, Statistical Hypothesis Testing, Databases, Stored Procedure, Web Scraping, Relational Databases, Automation, Data Science, GitHub, Python Programming
Coursera Project Network
Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Python Programming
Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Dashboard, Data Warehousing, Extract, Transform, Load, Data Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Processing, Data Visualization Software, Apache Hadoop, Applied Machine Learning, Apache Spark
- Status: Free
Deep Teaching Solutions
Skills you'll gain: Learning Strategies, Time Management, Willingness To Learn, Mental Concentration, Creativity, Persistence, Stress Management, Self-Awareness, Adaptability
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
In summary, here are 10 of our most popular using machine learning in science and engineering courses
- Breast Cancer Prediction Using Machine Learning: Coursera Project Network
- IBM DevOps and Software Engineering: IBM
- 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
- Applied Data Science with Python: University of Michigan
- Introduction to Engineering Mechanics: Georgia Institute of Technology
- Google AI Essentials: Google
- Deep Learning and Reinforcement Learning: IBM
- Data Science Fundamentals with Python and SQL: IBM
- Linear Regression with Python: Coursera Project Network
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud