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  • Machine Learning Concepts

Results for "machine learning concepts"


  • Status: Free Trial
    Free Trial
    I

    IBM

    Excel Basics for Data Analysis

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Data Integrity, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    SAS

    머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정

    Skills you'll gain: Machine Learning, Data Ethics, Responsible AI, Technical Communication, Predictive Analytics, Supervised Learning, Artificial Intelligence, Data Analysis, Decision Tree Learning, Regression Analysis, Statistical Analysis, Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Business Analysis Fundamentals

    Skills you'll gain: Stakeholder Management, Business Analysis, Project Management, Stakeholder Analysis, Analysis, Requirements Elicitation, Risk Management, Microsoft Power Platform, Business Process Improvement, Problem Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    974 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    G

    Google Cloud

    Die vielfältigen Formen generativer KI

    Skills you'll gain: Google Gemini, Generative AI, Google Cloud Platform, AI Product Strategy, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, No-Code Development, Innovation, MLOps (Machine Learning Operations)

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C for Everyone, Part 1: Programming Fundamentals

    Skills you'll gain: Programming Principles, Pseudocode

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Introduction to Corporate Finance

    Skills you'll gain: Return On Investment, Capital Budgeting, Finance, Capital Expenditure, Forecasting, Cash Flow Forecasting, Financial Modeling, Financial Analysis, Cost Benefit Analysis, Financial Management, Financial Acumen, Corporate Finance, Business Valuation, Cash Flows, Risk Analysis, Depreciation, Loans, Working Capital

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Software Engineering

    Skills you'll gain: Software Development Life Cycle, Software Architecture, Software Design, Software Development Methodologies, Software Design Patterns, Development Environment, Unified Modeling Language, Software Engineering, Web Applications, Software Development Tools, Software Development, Application Deployment, Programming Principles, Front-End Web Development, Back-End Web Development, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Intelligent Digital Factories

    Skills you'll gain: Machine Learning Algorithms, Internet Of Things, Artificial Intelligence, Unsupervised Learning, Python Programming, Embedded Software, Computer Vision, Peripheral Devices, Integrated Development Environments, Deep Learning, Applied Machine Learning, Image Analysis, Machine Learning, Embedded Systems, Civil Engineering, Computer Programming Tools, Wireless Networks, Automation, Digital Transformation, Enterprise Architecture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    308 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    N

    Nanyang Technological University, Singapore

    Motivating Gen Z Learners: What Parents and Teachers Need to Know

    Skills you'll gain: Growth Mindedness, Motivational Skills, Learning Strategies, Interactive Learning, Student Engagement, Self-Motivation, Learning Theory, Needs Assessment, Instructional Strategies, Learning Styles, Behavior Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    351 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Regression and Classification

    Skills you'll gain: Statistical Modeling, Data Science, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Regression Analysis, Predictive Modeling, R Programming, Statistical Inference, Machine Learning, Supervised Learning, Unsupervised Learning, Machine Learning Algorithms

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Selecting the Right LLM with Hugging Face

    Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Applied Machine Learning, Generative Model Architectures, Machine Learning Methods

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to machine learning concepts

machine learning: concepts and applications
1…140141142…703

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

  • Excel Basics for Data Analysis: IBM
  • 머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정: SAS
  • Business Analysis Fundamentals: Microsoft
  • Die vielfältigen Formen generativer KI : Google Cloud
  • C for Everyone, Part 1: Programming Fundamentals: University of California, Santa Cruz
  • Introduction to Corporate Finance: University of Pennsylvania
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
  • Introduction to Software Engineering: IBM
  • Intelligent Digital Factories: L&T EduTech
  • Motivating Gen Z Learners: What Parents and Teachers Need to Know: Nanyang Technological University, Singapore

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