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  • Data Variability

Results for "data variability"


  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    27 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Feature Engineering en Español

    Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Data Transformation, Data Store, Applied Machine Learning, Keras (Neural Network Library), Data Modeling, Machine Learning, Python Programming, Statistical Methods

    4.4
    Rating, 4.4 out of 5 stars
    ·
    37 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    AI Applications in Marketing and Finance

    Skills you'll gain: AI Personalization, Fraud detection, Big Data, Credit Risk, Risk Management, Digital Transformation, Customer Insights, Machine Learning, Marketing Analytics, AI Enablement, Data-Driven Decision-Making, Applied Machine Learning, Financial Data, Customer experience improvement, Artificial Intelligence, Analytics, Retail Banking, Data Science, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Mixed · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Trustworthy AI: Managing Bias, Ethics, and Accountability

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Business Ethics, Machine Learning, Accountability, Artificial Intelligence and Machine Learning (AI/ML), Risk Analysis, Case Studies, Law, Regulation, and Compliance, Risk Mitigation, Decision Making, Workforce Management, Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • F

    Fractal Analytics

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Model Deployment, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Feature Engineering, Data Preprocessing, Unsupervised Learning, Predictive Modeling, Logistic Regression, Anomaly Detection, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    AI For Everyone (すべての人のためのAIリテラシー講座)

    Skills you'll gain: AI Product Strategy, Artificial Intelligence, Artificial Neural Networks, Digital Transformation, Deep Learning, Technical Management, Machine Learning, Responsible AI, Data Ethics, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    306 reviews

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Django Application Development with SQL and Databases

    Skills you'll gain: Django (Web Framework), Object-Relational Mapping, SQL, Cloud Deployment, Bootstrap (Front-End Framework), Relational Databases, Database Management, Database Design, Full-Stack Web Development, Databases, Web Applications, Authentications, Model View Controller, Application Development, Data Modeling, Authorization (Computing), Responsive Web Design, Content Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    352 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Optimizing Performance of LookML Queries

    Skills you'll gain: Performance Tuning, Query Languages, Exploratory Data Analysis, Database Management, Data Persistence, Data Analysis, System Monitoring, Google Cloud Platform

    Intermediate · Project · Less Than 2 Hours

  • J

    Johns Hopkins University

    Advanced Reproducibility in Cancer Informatics

    Skills you'll gain: Code Review, GitHub, Git (Version Control System), Version Control, Docker (Software), Software Development Tools, Continuous Integration, Containerization, Bioinformatics, Informatics, Automation, Data Analysis, R Programming

    Advanced · Course · 1 - 3 Months

  • U

    University of Minnesota

    Recommender Systems Capstone

    Skills you'll gain: Spreadsheet Software, Applied Machine Learning, Exploratory Data Analysis, Analysis, System Design and Implementation, Solution Design, Model Evaluation, Machine Learning Algorithms, Algorithms, Business Metrics

    4.1
    Rating, 4.1 out of 5 stars
    ·
    30 reviews

    Mixed · Course · 1 - 4 Weeks

  • K

    Kennesaw State University

    Six Sigma Tools for Improve and Control

    Skills you'll gain: Six Sigma Methodology, Process Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Lean Six Sigma, Kaizen Methodology, Quality Improvement, Regression Analysis, Statistical Process Controls, Continuous Improvement Process, Process Capability, Project Management, Quality Management, Cost Benefit Analysis, Statistical Inference, Document Control

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Copilot Studio

    Skills you'll gain: Prompt Engineering, Microsoft Copilot, AI Workflows, AI Enablement, Generative AI Agents, Model Deployment, No-Code Development, Performance Tuning, Business Logic, Application Deployment, Scalability, Data Integration, User Feedback

    Intermediate · Course · 1 - 4 Weeks

1…334335336…834

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

  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Feature Engineering en Español: Google Cloud
  • AI Applications in Marketing and Finance: University of Pennsylvania
  • Trustworthy AI: Managing Bias, Ethics, and Accountability: Johns Hopkins University
  • Foundations of Machine Learning : Fractal Analytics
  • AI For Everyone (すべての人のためのAIリテラシー講座): DeepLearning.AI
  • Django Application Development with SQL and Databases: IBM
  • Optimizing Performance of LookML Queries: Google Cloud
  • Advanced Reproducibility in Cancer Informatics: Johns Hopkins University
  • Recommender Systems Capstone: University of Minnesota

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