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  • Introduction To Machine Learning

Results for "introduction to machine learning"


  • Status: Preview
    Preview
    U

    University of London

    모두를 위한 머신 러닝

    Skills you'll gain: Applied Machine Learning, Model Evaluation, Artificial Intelligence, Machine Learning, Computer Vision, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Virginia Darden School Foundation

    Generative AI in Marketing

    Skills you'll gain: Large Language Modeling, Customer Insights, ChatGPT, Branding, Design Thinking, Keyword Research, Search Engine Marketing, Pay Per Click Advertising, Brand Awareness, Brand Strategy, Digital Marketing, Marketing Design, Generative AI, Customer experience strategy (CX), Marketing Management, Marketing Strategy and Techniques, Personalized Service, Prompt Engineering, AI Personalization, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    150 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Building multi-agent systems

    Skills you'll gain: Responsible AI, Containerization, Scalability, AI Orchestration, Application Deployment, Kubernetes, Azure Active Directory, System Monitoring, AI Workflows, Agentic systems, Artificial Intelligence, Microsoft 365, Microservices, Generative AI Agents, Enterprise Architecture, Microsoft Azure, AI Security, Enterprise Security, Role-Based Access Control (RBAC), Coordination

    Intermediate · Course · 1 - 4 Weeks

  • 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, Statistical Machine Learning, Predictive Analytics, Supervised Learning, Model Evaluation, Artificial Intelligence, Data Analysis, Decision Tree Learning, Machine Learning Algorithms, Logistic Regression, Classification Algorithms, Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Data Ethics, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Data Preprocessing, Feature Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    170 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    First Principles of Computer Vision

    Skills you'll gain: Computer Vision, Image Quality, Image Analysis, Computer Graphics, 3D Modeling, Photography, Virtual Reality, Visualization (Computer Graphics), Medical Imaging, Artificial Neural Networks, Unsupervised Learning, Graph Theory, Dimensionality Reduction, Mathematical Modeling, Estimation, Machine Learning Algorithms, Color Theory, Algorithms, Automation Engineering, Electronic Components

    4.7
    Rating, 4.7 out of 5 stars
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    234 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    P

    Packt

    Blender & Python Scripting – Step-by-Step Guide

    Skills you'll gain: 3D Modeling, Debugging, Scripting, Object Oriented Programming (OOP), Computer Graphics, Programming Principles, Animation and Game Design, Development Environment, Python Programming

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    AI Agents and Agentic AI with Python & Generative AI

    Skills you'll gain: Generative AI Agents, AI Workflows, AI Orchestration, Agentic systems, LLM Application, Tool Calling, OpenAI, Prompt Engineering, Application Development, Software Documentation, File Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    355 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Assets, Threats, and Vulnerabilities

    Skills you'll gain: Threat Modeling, Threat Management, Vulnerability Management, Cybersecurity, Cyber Attacks, Vulnerability Assessments, Data Security, Cyber Risk, NIST 800-53, Authorization (Computing), Malware Protection, Authentications, Security Strategy, Security Controls, Risk Management Framework, Personally Identifiable Information, Encryption, Cryptography

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Python for Genomic Data Science

    Skills you'll gain: Bioinformatics, Data Structures, Jupyter, Python Programming, Programming Principles, Object Oriented Programming (OOP), File I/O, Computational Logic, Package and Software Management, Data Manipulation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.8K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Everyday Excel

    Skills you'll gain: Data Import/Export, Microsoft Excel, Regression Analysis, Data Validation, Data Visualization, Spreadsheet Software, Data Management, Excel Macros, Data Cleansing, Excel Formulas, Statistical Modeling, Financial Analysis, Productivity Software, Predictive Modeling, Data Sharing, Financial Modeling, Analysis, Mathematical Modeling, Complex Problem Solving, Problem Solving

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Analysis with R

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Analysis, Statistics, Data Analysis Software, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Statistical Methods, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.6K reviews

    Beginner · Specialization · 3 - 6 Months

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1…261262263…834

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

  • 모두를 위한 머신 러닝: University of London
  • Generative AI in Marketing: University of Virginia Darden School Foundation
  • Building multi-agent systems: Microsoft
  • 머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정: SAS
  • Gen AI Foundational Models for NLP & Language Understanding: IBM
  • First Principles of Computer Vision: Columbia University
  • Blender & Python Scripting – Step-by-Step Guide: Packt
  • AI Agents and Agentic AI with Python & Generative AI: Vanderbilt University
  • Assets, Threats, and Vulnerabilities: Google
  • Python for Genomic Data Science: Johns Hopkins University

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