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Results for "machine learning in distributed environments"
Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Artificial Neural Networks, Computer Vision, Regression Analysis
Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Data Ethics, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Application Deployment, Data Pipelines
DeepLearning.AI
Skills you'll gain: iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Application Deployment, Applied Machine Learning, Deep Learning, Embedded Systems, Computer Vision, Machine Learning
Google Cloud
Skills you'll gain: Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Google Cloud Platform, Machine Learning Algorithms, Data Analysis, Big Data, Regression Analysis, Data Processing, Sampling (Statistics), Performance Tuning
Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Image Analysis, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Machine Learning, Supervised Learning, Tensorflow, Artificial Neural Networks
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Machine Learning, Distributed Computing, Statistical Inference
Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Data Infrastructure, MLOps (Machine Learning Operations), Application Deployment, Data Cleansing, Artificial Intelligence, Continuous Deployment, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scikit Learn (Machine Learning Library), Scalability, Feature Engineering, Version Control
Skills you'll gain: Supervised Learning, Applied Machine Learning, Regression Analysis, Machine Learning, Data Validation, Predictive Modeling, Statistical Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Jupyter, Pandas (Python Package), Performance Metric
Google Cloud
Skills you'll gain: Google Cloud Platform, Machine Learning, Data Strategy, MLOps (Machine Learning Operations), Applied Machine Learning, Development Environment, Data Ethics, Artificial Intelligence, Computer Vision, Jupyter
Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Supervised Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Development Environment
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Cloud Management, DevOps, Continuous Deployment, CI/CD, Applied Machine Learning, Feature Engineering, Machine Learning, Automation, Data Processing
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Applied Machine Learning, Algorithms
In summary, here are 10 of our most popular machine learning in distributed environments courses
- Introduction to Machine Learning: Duke University
- Microsoft Azure Machine Learning for Data Scientists: Microsoft
- Device-based Models with TensorFlow Lite: DeepLearning.AI
- Launching into Machine Learning: Google Cloud
- Create Machine Learning Models in Microsoft Azure: Microsoft
- Production Machine Learning Systems: Google Cloud
- Foundations of AI and Machine Learning: Microsoft
- Supervised Machine Learning: Regression: IBM
- How Google does Machine Learning: Google Cloud
- Learning TensorFlow: the Hello World of Machine Learning: Google Cloud