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  • Machine Learning Cmos Process

Results for "machine learning cmos process"


  • C

    Coursera

    Training, Evaluating, and Monitoring Machine Learning Models

    Skills you'll gain: Model Evaluation, Model Training, MLOps (Machine Learning Operations), System Monitoring, Continuous Monitoring, Model Deployment, Verification And Validation, Performance Metric, A/B Testing, Statistical Methods, Failure Analysis, Statistical Hypothesis Testing, Applied Machine Learning, Statistical Analysis, Scikit Learn (Machine Learning Library), Benchmarking

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Automate ML Pipelines for Peak Performance

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, Model Training, Workflow Management, Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • B

    Board Infinity

    Applied Machine Learning Systems with FastAPI for Developers

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Machine Learning Methods, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Test Script Development, Model Evaluation, Unsupervised Learning, Containerization, Data Processing, Data Wrangling, Unit Testing, Development Testing, Software Development, Python Programming, Application Programming Interface (API)

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Pragmatic AI Labs

    Machine Learning with Databricks and MLflow

    Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, Model Training, DevOps, Continuous Deployment, CI/CD, AI Workflows, Automation

    ★ 4 (481) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • J

    John Wiley & Sons

    Data Processing, Machine Learning, and Model Evaluation

    Skills you'll gain: Data Preprocessing, Model Evaluation, Data Processing, Model Deployment, Data Transformation, MLOps (Machine Learning Operations), Unsupervised Learning, Data Cleansing, Predictive Modeling, Model Training, Data Science, Data Analysis, Applied Machine Learning, Model Optimization, Technical Communication, Supervised Learning, Machine Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google

    The Nuts and Bolts of Machine Learning

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

    ★ 4.8 (617) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Production ML Engineering: Packaging, APIs, and Testing

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Software Documentation, Code Reusability, Model Training, Test Script Development, Continuous Delivery, Test Automation, Model Evaluation, Continuous Integration, Technical Documentation, API Design, Application Programming Interface (API), Data Validation, Applied Machine Learning, Machine Learning Methods, Maintainability, Version Control, Package and Software Management, Code Review

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Pearson

    Learn MLOps for Machine Learning

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, DevOps, Data Processing, Model Training, Data Collection, Data Management, Cloud Deployment, Model Evaluation, Machine Learning Methods, Automation, Data Pipelines, Feature Engineering, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Optimizing AI Workflows and Deploying Edge Models

    Skills you'll gain: Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Model Training, AI Workflows, Tensorflow, Dataflow, Performance Tuning, Deep Learning, Dashboard, Data Pipelines, Grafana, Artificial Neural Networks, Data Processing, Resource Utilization, Performance Analysis, Performance Metric, Data Manipulation

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • A

    Arm

    Getting Started with Machine Learning at the Edge on Arm

    Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Embedded Software, Data Preprocessing, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Machine Learning Methods, Artificial Neural Networks, Machine Learning Algorithms, Model Training, Convolutional Neural Networks, Feature Engineering, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment

    ★ 4.2 (9) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Deep Learning Engineering

    Skills you'll gain: Model Deployment, Fine-tuning, PyTorch (Machine Learning Library), Model Evaluation, Model Training, Vision Transformer (ViT), Model Optimization, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines

    Advanced · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1234…834

In summary, here are 10 of our most popular machine learning cmos process courses

  • Training, Evaluating, and Monitoring Machine Learning Models: Coursera
  • Automate ML Pipelines for Peak Performance: Coursera
  • Applied Machine Learning Systems with FastAPI for Developers: Board Infinity
  • Machine Learning with Databricks and MLflow: Pragmatic AI Labs
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Data Processing, Machine Learning, and Model Evaluation: John Wiley & Sons
  • The Nuts and Bolts of Machine Learning: Google
  • Production ML Engineering: Packaging, APIs, and Testing: Coursera
  • Learn MLOps for Machine Learning: Pearson
  • Optimizing AI Workflows and Deploying Edge Models: Coursera

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