Results for "workflow of machine learning projects"
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, CI/CD, Continuous Deployment, Application Deployment, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Process Optimization, Verification And Validation, Automation, Key Performance Indicators (KPIs), Performance Analysis, Data-Driven Decision-Making
Status: NewStatus: Free TrialSkills you'll gain: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Model Evaluation, Data Literacy, No-Code Development, Business Analytics, Data Science, Business Analysis, Model Deployment, Applied Machine Learning, Data Ethics, Data Capture, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization
Status: NewStatus: Free TrialSkills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control
Status: Free TrialSkills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research
Status: NewSkills you'll gain: Project Controls, Risk Management Framework, Leadership and Management, Verification And Validation, Project Management Life Cycle, AI Workflows, Data-Driven Decision-Making, Performance Measurement, Variance Analysis
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis
Status: Free TrialDuke University
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
Status: NewStatus: Free TrialSkills you'll gain: Infrastructure as Code (IaC), Scripting, Cloud Deployment, Data Persistence, Python Programming, Command-Line Interface, Virtual Machines, Data Pipelines
Status: NewStatus: Free TrialSkills you'll gain: Build Tools, CI/CD, Software Development Tools, Java, Gradle, Apache Maven, MLOps (Machine Learning Operations), Package and Software Management, Dependency Analysis
Status: Free TrialCertNexus
Skills you'll gain: Data Preprocessing, Data Analysis, Data Collection, AI Workflows, Statistical Analysis, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Model Evaluation, Descriptive Statistics, Feature Engineering, Machine Learning Algorithms, Process Management
Status: Free TrialDuke University
Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data
In summary, here are 10 of our most popular workflow of machine learning projects courses
- Automate, Evaluate and Deploy ML Models Confidently: Coursera
- No-Code Machine Learning and Data Science for Everyone: LearnQuest
- Optimize AI: Build Reusable Model Pipelines: Coursera
- IBM AI Enterprise Workflow: IBM
- Automate, Analyze, and Evaluate ML Experiments: Coursera
- AI Projects: Plan, Track, Deliver: Coursera
- Automate, Validate, and Promote ML Models Safely: Coursera
- MLOps | Machine Learning Operations: Duke University
- Automate Cloud Workflows with Python Scripting: Coursera
- Master Java Build Tools for ML Projects: Coursera
