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Results for "machine learning in distributed environments"
Skills you'll gain: Tensorflow, Data Collection, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Google Cloud Platform, Cloud Computing, Visualization (Computer Graphics)
Google Cloud
Skills you'll gain: Cloud Computing, Istio, Tensorflow, Google Cloud Platform, MLOps (Machine Learning Operations), Kubernetes, Application Deployment, Continuous Deployment, Microservices, Load Balancing
Skills you'll gain: Google Cloud Platform, Tensorflow, Kubernetes, Scalability, Application Deployment, Image Analysis, Cloud Computing, MLOps (Machine Learning Operations), System Monitoring, Cloud Management, Cloud Storage, Data Management
- Status: Free Trial
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Generative AI, Regression Analysis, Dimensionality Reduction, Reinforcement Learning, Deep Learning, Data Analysis, Statistical Inference, Applied Machine Learning, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Data Science, Python Programming
- Status: Free Trial
Skills you'll gain: Exploratory Data Analysis, Data Collection, Data Cleansing, Data Ethics, Feature Engineering, MLOps (Machine Learning Operations), Machine Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Statistical Analysis, Solution Design, Predictive Modeling, Generative AI, Machine Learning Algorithms
- Status: Free Trial
Rice University
Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java Programming, Dataflow, Java, Software Architecture, Systems Architecture, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Algorithms, Performance Tuning, Network Protocols, Computer Science, Functional Design, Scalability
- Status: Free Trial
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Data Access, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Statistical Modeling, Applied Machine Learning
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Deep Learning, Applied Machine Learning, Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Debugging, Artificial Intelligence, Keras (Neural Network Library), Data Quality, Performance Tuning
- Status: Preview
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
Amazon Web Services
Skills you'll gain: Feasibility Studies, Business Analysis, Business Analytics, Decision Making, Strategic Decision-Making, Data-Driven Decision-Making, Machine Learning, Strategic Thinking, Business Leadership, Project Planning
- Status: Free Trial
University of Michigan
Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis
Coursera Project Network
Skills you'll gain: Data Cleansing, Data Processing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Supervised Learning, Machine Learning Algorithms
In summary, here are 10 of our most popular machine learning in distributed environments courses
- Classify Images with TensorFlow Convolutional Neural Networks:Â Google Cloud
- Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh:Â Google Cloud
- Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes:Â Google Cloud
- IBM Machine Learning:Â IBM
- Building a Machine Learning Solution:Â Coursera
- Parallel, Concurrent, and Distributed Programming in Java:Â Rice University
- IBM Introduction to Machine Learning:Â IBM
- Structuring Machine Learning Projects:Â DeepLearning.AI
- Machine Learning Basics:Â Sungkyunkwan University
- Planning a Machine Learning Project:Â Amazon Web Services