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  • Workflow Of Machine Learning Projects

Results for "workflow of machine learning projects"


  • Status: New
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    Coursera

    Building Vision and NLP Workflows with TensorFlow pipelines

    Skills you'll gain: Model Evaluation, Image Analysis, Computer Vision, Vision Transformer (ViT), Tensorflow, Keras (Neural Network Library), AI Workflows, Model Training, Embeddings, Deep Learning, Large Language Modeling, Natural Language Processing, Model Deployment, Model Optimization, Data Pipelines, Risk Modeling, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Natural Language Processing with Real-World Projects

    Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Embeddings, Statistical Visualization, Machine Learning Algorithms, Natural Language Processing, Applied Machine Learning, Data Manipulation, Model Optimization, Machine Learning Methods, Pivot Tables And Charts, Linear Algebra, Deep Learning, Text Mining, Classification Algorithms, Markov Model, Unsupervised Learning, Data Preprocessing, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
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    11 reviews

    Beginner · Specialization · 3 - 6 Months

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    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

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    Coursera

    Databricks Machine Learning Quickstart

    Skills you'll gain: Databricks, Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Model Evaluation, Feature Engineering, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, AI Workflows, Machine Learning, System Monitoring, Security Controls

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Model Training, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Design Thinking, Market Opportunities, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    366 reviews

    Advanced · Specialization · 3 - 6 Months

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    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Validation, Data Quality

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Evaluate and Create ML Workflows Visually

    Skills you'll gain: Model Training, MLOps (Machine Learning Operations), Software Visualization, Grafana, Code Reusability, Performance Metric, Data Pipelines, Performance Analysis, Collaborative Software

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Automate and Evaluate ML Pipeline Tests

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Regression Testing, Unit Testing, Test Script Development, Test Case, System Testing, Test Automation, Software Testing, Integration Testing, Verification And Validation, Anomaly Detection, Data Integrity, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Build & Optimize TensorFlow ML Workflows

    Skills you'll gain: Tensorflow, Model Optimization, Keras (Neural Network Library), Model Training, MLOps (Machine Learning Operations), Data Pipelines, Performance Tuning, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Google Cloud

    Orchestrate ML Workflows with Vertex AI Pipelines

    Skills you'll gain: MLOps (Machine Learning Operations), AI Orchestration, AI Workflows, Data Pipelines, Model Deployment, Agentic Workflows, Generative AI Agents, Google Cloud Platform, Forecasting, Model Training, Agentic systems, Prompt Engineering, Automation

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Deploying and Debugging ML Microservices

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microservices, Containerization, Application Deployment, Service Level, Debugging, Unit Testing, Software Testing, System Monitoring, Continuous Deployment, Docker (Software), Software Architecture, Kubernetes, Software Design, Restful API, Systems Architecture, Cloud Computing Architecture, Application Performance Management, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    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

1234…834

In summary, here are 10 of our most popular workflow of machine learning projects courses

  • Building Vision and NLP Workflows with TensorFlow pipelines: Coursera
  • Natural Language Processing with Real-World Projects: Packt
  • Optimizing AI Workflows and Deploying Edge Models: Coursera
  • Databricks Machine Learning Quickstart: Coursera
  • IBM AI Enterprise Workflow: IBM
  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • Evaluate and Create ML Workflows Visually: Coursera
  • Automate and Evaluate ML Pipeline Tests: Coursera
  • Build & Optimize TensorFlow ML Workflows: Coursera
  • Orchestrate ML Workflows with Vertex AI Pipelines: Google Cloud

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