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  • Introduction To Machine Learning

Results for "introduction to machine learning"


  • Status: Preview
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    M

    Macquarie University

    Artificial Intelligence (AI) Education for Teachers

    Skills you'll gain: Computational Thinking, Design Thinking, Artificial Intelligence, Creativity, Ethical Standards And Conduct, Data Literacy, Digital pedagogy, Machine Learning, Data Quality, Computer Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    945 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Prompt Engineering Tools, Data Analysis, Dashboard, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Data Visualization Software, AI Workflows, Deep Learning, Augmented and Virtual Reality (AR/VR), Statistical Analysis, Python Programming, Data Cleansing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

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

    IBM

    IBM Data Analyst

    Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Data Presentation, Interactive Data Visualization, Generative AI, Model Evaluation, SQL, Data Transformation, Data Analysis, Statistical Visualization, IBM Cognos Analytics, Excel Formulas, Professional Networking, Data Import/Export, Microsoft Excel, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    98K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for UI UX Design

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Design Research, Persona (User Experience), User Interface and User Experience (UI/UX) Design, Design Software, AI Workflows, User Interface (UI) Design, Brainstorming, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Large Language Modeling, Human Centered Design, User Story, Wireframing, Deep Learning, Augmented and Virtual Reality (AR/VR), Ideation

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Preparing for AI-900: Microsoft Azure AI Fundamentals exam

    Skills you'll gain: Natural Language Processing, Microsoft Azure, Computer Vision, No-Code Development, Machine Learning, AI Workflows, Predictive Modeling, Artificial Intelligence, Responsible AI, Model Deployment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    196 reviews

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Detect AI Anomalies: Real-Time Outliers

    Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Threat Detection, Statistical Analysis, Exploratory Data Analysis, Trend Analysis, Real Time Data, Statistical Methods, Performance Tuning, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Preview
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    U

    Universitat Politècnica de València

    Introducción a R para ciencia de datos

    Skills you'll gain: R Programming, R (Software), Statistical Analysis, Ggplot2, Data Import/Export, Statistical Methods, Data Structures, Programming Principles, Data Preprocessing, Data Science, Model Evaluation, Machine Learning, Data Manipulation, Exploratory Data Analysis, Data Visualization Software

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Design & Secure LLM APIs for Scalability

    Skills you'll gain: API Design, Cloud API, Amazon CloudWatch, AI Security, Cloud Management, Security Controls, Application Performance Management, Redis, Load Balancing, Performance Testing, Network Monitoring, Incident Response, MLOps (Machine Learning Operations), GitHub, Python Programming, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    GPU Programming

    Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Scalability, Deep Learning, C and C++, Performance Tuning, Convolutional Neural Networks, Data-oriented programming, C++ (Programming Language), Digital Signal Processing, Linear Algebra, Distributed Computing, Computer Graphics, System Programming, Numerical Analysis, Programming Principles, Computer Architecture, Program Development, Machine Learning

    Build toward a degree

    2.8
    Rating, 2.8 out of 5 stars
    ·
    188 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Semantic Segmentation with Amazon Sagemaker

    Skills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Amazon Web Services, Model Deployment, Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Machine Learning Algorithms, Data Preprocessing, Convolutional Neural Networks, Computer Vision, Deep Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    94 reviews

    Advanced · Guided Project · Less Than 2 Hours

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

    Microsoft

    Core generative models and techniques

    Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Microsoft Azure, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Model Evaluation, Tensorflow, Data Pipelines, Prototyping, Image Quality, Time Series Analysis and Forecasting, Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, ChatGPT, Generative Adversarial Networks (GANs), Responsible AI, OpenAI, AI Product Strategy, Data Ethics, Large Language Modeling, Leadership and Management, AI Enablement, Business Leadership, Business Ethics, Hugging Face, Legal Risk, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Artificial Intelligence (AI) Education for Teachers: Macquarie University
  • Generative AI for Data Analysts: IBM
  • IBM Data Analyst: IBM
  • Generative AI for UI UX Design: IBM
  • Preparing for AI-900: Microsoft Azure AI Fundamentals exam: Microsoft
  • Detect AI Anomalies: Real-Time Outliers: Coursera
  • Introducción a R para ciencia de datos: Universitat Politècnica de València
  • Design & Secure LLM APIs for Scalability: Coursera
  • GPU Programming: Johns Hopkins University
  • Semantic Segmentation with Amazon Sagemaker: Coursera

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