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Results for "machine learning in distributed environments"
- Status: Free Trial
Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, Application Deployment, IBM Cloud, Machine Learning, Containerization, Data Science, Python Programming, Performance Tuning, Scalability
- Status: Preview
Northeastern University
Skills you'll gain: Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Statistical Analysis, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving
LearnQuest
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Microsoft Azure, Applied Machine Learning, Python Programming, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Application Deployment, Natural Language Processing, Application Programming Interface (API)
- Status: NewStatus: Free Trial
Skills you'll gain: Data Management, Data Pipelines, Continuous Monitoring
Skills you'll gain: Apache Spark, Google Cloud Platform, Predictive Modeling, Big Data, Applied Machine Learning, Cloud Computing, Statistical Modeling
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Machine Learning Methods, Computer Vision, Machine Learning
- Status: NewStatus: Free Trial
Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Computing, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Performance Tuning, Automation
Google Cloud
Skills you'll gain: Tensorflow, Google Cloud Platform, Image Analysis, Applied Machine Learning, MLOps (Machine Learning Operations), Cloud Computing, Distributed Computing
- Status: NewStatus: Preview
Coursera Instructor Network
Skills you'll gain: MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, Scalability, Continuous Integration, DevOps, Data Infrastructure, IT Infrastructure, Infrastructure Architecture, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Continuous Monitoring, Real Time Data, Version Control
- Status: Free Trial
Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Containerization, Workflow Management, IBM Cloud, Machine Learning, Performance Analysis, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming, Design Thinking
Google Cloud
Skills you'll gain: Apache Spark, PySpark, Google Cloud Platform, Cloud Management, Cloud Computing, Distributed Computing, Package and Software Management
- Status: Free Trial
Duke University
Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms, Performance Metric
In summary, here are 10 of our most popular machine learning in distributed environments courses
- AI Workflow: Enterprise Model Deployment:Â IBM
- Machine Learning for Engineers: Algorithms and Applications:Â Northeastern University
- Developing AI Applications on Azure:Â LearnQuest
- Azure ML: Designing and Preparing Machine Learning Solutions:Â Whizlabs
- Machine Learning with Spark on Google Cloud Dataproc:Â Google Cloud
- Device-based Models with TensorFlow Lite:Â DeepLearning.AI
- Azure ML: Deploying, Managing, and Experimenting with Models:Â Whizlabs
- Running Distributed TensorFlow using Vertex AI:Â Google Cloud
- Operationalizing ML Models: MLOps for Scalable AI:Â Coursera Instructor Network
- AI Workflow: AI in Production:Â IBM