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  • Introduction To Machine Learning

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Results for "introduction to machine learning"


  • Status: New
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    U

    University of Maryland, College Park

    AI for Business Leaders

    Skills you'll gain: AI Personalization, Responsible AI, Deep Learning, Forecasting, Business Leadership, Risk Management, Business Analytics, Machine Learning, Analytics, Artificial Intelligence, Marketing Analytics, Applied Machine Learning, Customer Analysis, Supply Chain Management, Data-Driven Decision-Making, Big Data, People Analytics

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Data Pipelines, Model Evaluation, Kubernetes, Supervised Learning, Distributed Computing

    4.5
    Rating, 4.5 out of 5 stars
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    816 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    T

    The University of Edinburgh

    Data Science in Stratified Healthcare and Precision Medicine

    Skills you'll gain: Precision Medicine, Bioinformatics, Image Analysis, Biomedical Technology, Big Data, Data Science, Data Ethics, Health Informatics, Statistical Modeling, Machine Learning, Natural Language Processing, Data Integration, Network Analysis, Graph Theory, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    339 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Project Management

    Skills you'll gain: Project Management Life Cycle, Change Management, Organizational Structure, Project Management, Project Coordination, Organizational Change, Agile Methodology, Project Planning, Waterfall Methodology, Interpersonal Communications, Strategic Thinking

    4.9
    Rating, 4.9 out of 5 stars
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    100K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Practical Predictive Analytics: Models and Methods

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Analysis, R Programming, Statistical Methods, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Classification Algorithms, Probability & Statistics, Big Data

    4.1
    Rating, 4.1 out of 5 stars
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    323 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Matrix Factorization and Advanced Techniques

    Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Model Evaluation, Linear Algebra

    4.3
    Rating, 4.3 out of 5 stars
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    189 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
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    488 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Business Analytics

    Skills you'll gain: Data Storytelling, Data Governance, Marketing Analytics, Data Visualization, Data Literacy, Accounting, Infographics, Data Management, Data Collection, Data Quality, Data Visualization Software, Internal Controls, Classification Algorithms, Business Analytics, Business Analysis, AI Personalization, Analytics, Data Analysis, Power BI, Machine Learning

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    1.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Advance Fine-Tuning for LLMs

    Skills you'll gain: Generative AI, Large Language Modeling, Natural Language Processing, Model Evaluation, Reinforcement Learning, Machine Learning, Probability Distribution

    4.3
    Rating, 4.3 out of 5 stars
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    117 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM DevOps and Software Engineering

    Skills you'll gain: Cloud Deployment, CI/CD, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Linux Commands, Software Architecture, Agile Software Development, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Kubernetes, Restful API, Git (Version Control System), DevOps, Grafana, Software Engineering, Data Import/Export, Application Development

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    64K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Software Engineering Fundamentals

    Skills you'll gain: Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Restful API, Shell Script, Git (Version Control System), GitHub, Flask (Web Framework), Software Design, Version Control, File Management, Application Deployment, Linux, Software Development Methodologies, Software Design Patterns, Data Import/Export, Programming Principles, Web Scraping, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    51K reviews

    Beginner · Specialization · 3 - 6 Months

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

    Coursera

    Validate LLM Embeddings for Production Use

    Skills you'll gain: Embeddings, Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Anomaly Detection, Vector Databases, LLM Application, System Monitoring, Verification And Validation, Data Quality, Legal Technology, Semantic Web, E-Commerce, Data Validation, Unsupervised Learning, Data Manipulation, Benchmarking, Dimensionality Reduction, Cost Reduction

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular introduction to machine learning courses

  • AI for Business Leaders: University of Maryland, College Park
  • NoSQL, Big Data, and Spark Foundations: IBM
  • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh
  • Foundations of Project Management: Google
  • Practical Predictive Analytics: Models and Methods: University of Washington
  • Matrix Factorization and Advanced Techniques: University of Minnesota
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Business Analytics: University of Illinois Urbana-Champaign
  • Generative AI Advance Fine-Tuning for LLMs : IBM
  • IBM DevOps and Software Engineering: IBM

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