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Results for "Machine Learning Systems"

  • Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Responsible AI, Data Manipulation, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

  • Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Kubernetes, Docker (Software), Containerization, Test Driven Development (TDD), Application Deployment, Software Testing, CI/CD, Scalability, Model Optimization, Benchmarking, Scikit Learn (Machine Learning Library), Tensorflow, PyTorch (Machine Learning Library), Performance Tuning, Python Programming, Software Engineering, Git (Version Control System)

  • Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Amazon Web Services, Model Deployment, Machine Learning

  • Skills you'll gain: Generative AI, Data Preprocessing, Model Evaluation, Generative Model Architectures, Dimensionality Reduction, Applied Machine Learning, Feature Engineering, Tensorflow, Generative Adversarial Networks (GANs), Computer Vision, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Convolutional Neural Networks, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Data Cleansing, Autoencoders

  • Skills you'll gain: Google Cloud Platform, Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Model Training, Cloud Deployment, Cloud-Native Computing, Data Validation, Model Optimization, Applied Machine Learning, Systems Architecture, Data Quality, Hybrid Cloud Computing, Distributed Computing, Performance Tuning, Scalability, Dependency Analysis

  • Imperial College London

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Applied Mathematics, Descriptive Statistics, Model Optimization, Statistics, Geometry, Artificial Neural Networks, Data Science, Data Manipulation, Python Programming, Data Transformation, Machine Learning, Derivatives

  • What brings you to Coursera today?

  • Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, AWS SageMaker, DevOps, CI/CD, Kubernetes, Cloud-Native Computing, Model Training, Fraud detection, Continuous Integration, Application Deployment, Site Reliability Engineering, Distributed Computing, Managed Services, System Monitoring, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scalability, Artificial Intelligence

  • Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Model Optimization, Model Training, Tensorflow, Systems Architecture, Performance Tuning, Distributed Computing, Applied Machine Learning, Dependency Analysis

  • Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Model Training, Machine Learning Methods, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Forecasting, Anomaly Detection

  • Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Machine Learning Methods, Random Forest Algorithm, Model Optimization, Model Evaluation, Python Programming, Performance Tuning

  • Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Containerization, Docker (Software), CI/CD, Application Deployment, Model Training, Applied Machine Learning, Feature Engineering, Model Evaluation, Cloud Deployment, Model Optimization, Predictive Modeling, Web Scraping, Data Pipelines, Exploratory Data Analysis, Machine Learning, Continuous Monitoring, Data Capture, Data Wrangling

  • Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, AI literacy, Machine Learning