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  • Data Mapping

Results for "data mapping"


  • Status: Preview
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    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Transfer Learning, Applied Machine Learning, Natural Language Processing, Machine Learning, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Computer Vision, Python Programming, Reinforcement Learning, Unsupervised Learning, Logistic Regression, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize Your Marketing Pipeline with AI

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    LLM Optimization & Evaluation

    Skills you'll gain: Apache Airflow, MLOps (Machine Learning Operations), User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, SQL, Data Pipelines, PyTorch (Machine Learning Library), Miro AI, Data Presentation, Large Language Modeling, Python Programming, Performance Tuning, Root Cause Analysis, Statistical Analysis, Version Control

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Status: Free Trial
    Free Trial
    C

    Coursera

    Track and Evaluate ML Model Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Version Control, Large Language Modeling, Git (Version Control System), Data Management, Performance Testing, Dashboard, Machine Learning, Scripting, Performance Analysis, Technical Documentation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Mastering SAS ODS: Create, Customize & Deliver Reports

    Skills you'll gain: Report Writing, SAS (Software), Microsoft Excel, Statistical Reporting, Management Reporting, Data Presentation, HTML and CSS, Data Import/Export

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Analyze Traffic Sources with Analytics Dimensions

    Skills you'll gain: Google Analytics, Marketing Analytics, Web Analytics, Web Analytics and SEO, Data-Driven Decision-Making, Data Analysis, Analytics, Customer Insights, Analysis, Descriptive Analytics, Trend Analysis, Performance Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize AI: Build Reusable Model Pipelines

    Skills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Supervised Learning, Autoencoders, Feature Engineering, Classification Algorithms, Data Cleansing, Keras (Neural Network Library), Statistical Inference, Time Series Analysis and Forecasting, Generative Adversarial Networks (GANs), Data Preprocessing, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Applied Machine Learning, Scikit Learn (Machine Learning Library), Deep Learning, Data Science, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    P

    Packt

    Excel Essentials

    Skills you'll gain: Microsoft Excel, Spreadsheet Software, Data Visualization, Data Analysis Software, Productivity Software, Data Security, Data Validation, Data Management, Workflow Management

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    C

    Coursera

    Agentic AI Content for Practitioners (Teams: Healthcare)

    Skills you'll gain: Clinical Documentation, Responsible AI, Agentic Workflows, Healthcare Project Management, Data Governance, AI Security, Clinical Research, Regulatory Compliance, Data Validation, Health Informatics, Artificial Intelligence, Agentic systems, Data Ethics, Clinical Data Management, Automation, Decision Support Systems

    Intermediate · Course · 1 - 4 Weeks

Searches related to data mapping

create mapping data flows in azure data factory
using data for geographic mapping and forecasting in sas visual analytics
1…142143144…826

In summary, here are 10 of our most popular data mapping courses

  • Introduction to Machine Learning: Duke University
  • Optimize Your Marketing Pipeline with AI: Coursera
  • LLM Optimization & Evaluation: Coursera
  • Track and Evaluate ML Model Experiments: Coursera
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Mastering SAS ODS: Create, Customize & Deliver Reports: EDUCBA
  • Analyze Traffic Sources with Analytics Dimensions: Coursera
  • Optimize AI: Build Reusable Model Pipelines: Coursera
  • Statistics You Need to Know for Machine Learning: SAS
  • IBM Machine Learning: IBM

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