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  • Machine Learning Methods

Results for "machine learning methods"


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    IBM

    IBM DevOps, Cloud, and Agile Foundations

    Skills you'll gain: User Story, Cloud Computing Architecture, Agile Software Development, Cloud Services, Scrum (Software Development), Cloud Deployment, Agile Methodology, Kanban Principles, DevOps, Backlogs, Cloud Security, Cloud Infrastructure, Sprint Retrospectives, Cloud Platforms, Agile Project Management, Cloud Computing, Cloud-Native Computing, Cloud Storage, CI/CD, Test Driven Development (TDD)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    Status: Free Trial
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    Coursera

    Transform Audio: Extract Features & Augment Models

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Feature Engineering, Digital Signal Processing, Data Transformation, Model Evaluation, Time Series Analysis and Forecasting, Data Pipelines, Data Manipulation, Data Wrangling, System Design and Implementation, NumPy

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Vanderbilt University

    Organizational Strategy with Generative AI & AI Agents

    Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Agentic Workflows, Prompt Patterns, Generative AI, AI Enablement, AI Orchestration, AI Product Strategy, Workflow Management, Prompt Engineering Tools, Multimodal Prompts, OpenAI, Agentic systems, AI Personalization, Thought Leadership, Artificial Intelligence and Machine Learning (AI/ML), Strategic Decision-Making, Responsible AI, Business Strategy

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    ML Production Systems

    Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Test Driven Development (TDD), Software Testing, Scalability, Dashboard, Continuous Integration, Testability, Kubernetes, CI/CD, Performance Tuning, Software Engineering, PyTorch (Machine Learning Library), Docker (Software), Tensorflow, Containerization, Scikit Learn (Machine Learning Library), Git (Version Control System), Python Programming

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    C

    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    Skills you'll gain: Bayesian Network, Predictive Modeling, Machine Learning Methods, Markov Model, Statistical Modeling, Artificial Intelligence, Statistical Inference, Graph Theory, Network Analysis, Probability & Statistics, Sampling (Statistics), Algorithms, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Johns Hopkins University

    A Crash Course in Data Science

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
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    8.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    E

    EDUCBA

    Apply OpenCV for Real-Time Computer Vision Projects

    Skills you'll gain: Computer Vision, Image Analysis, Program Development, Data Science, Real Time Data, Python Programming, Development Environment, NumPy, Machine Learning Methods, System Design and Implementation, Motion Graphics, Model Deployment, Debugging, Software Installation

    Beginner · Specialization · 3 - 6 Months

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

    Coursera

    Validating and Safeguarding Production AI

    Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), AI Security, Software Engineering, DevOps, CI/CD, Model Deployment, Performance Tuning, Model Evaluation, Secure Coding, Continuous Monitoring, Integration Testing, Sampling (Statistics), Data Validation, Statistical Methods, Python Programming

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

    Skills you'll gain: Responsible AI, Image Analysis, Anomaly Detection, Unsupervised Learning, Microsoft Azure, Natural Language Processing, Computer Vision, Artificial Intelligence, Applied Machine Learning, MLOps (Machine Learning Operations), AI Security, Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning, AI Workflows, Model Deployment, Classification Algorithms, Analytics

    4.5
    Rating, 4.5 out of 5 stars
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    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Workflows, Context Management, Decision Making

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Automatic Data Processing, Inc. (ADP)

    Benefits: Health, Wellness, Work & Lifestyle

    Skills you'll gain: Benefits Administration, Compensation and Benefits, Human Resource Policies, Human Resource Strategy, Human Resources, Employee Assistance Programs, Communication Planning, Health Care, Program Evaluation, Insurance, Diversity and Inclusion, Dental Care

    Beginner · Course · 1 - 4 Weeks

Searches related to machine learning methods

bayesian methods for machine learning
advanced methods in machine learning applications
1…101102103…783

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

  • IBM DevOps, Cloud, and Agile Foundations: IBM
  • Transform Audio: Extract Features & Augment Models: Coursera
  • Organizational Strategy with Generative AI & AI Agents: Vanderbilt University
  • ML Production Systems: Coursera
  • Probabilistic Graphical Models: A Compact Introduction: Coursera
  • A Crash Course in Data Science: Johns Hopkins University
  • Apply OpenCV for Real-Time Computer Vision Projects: EDUCBA
  • Validating and Safeguarding Production AI: Coursera
  • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
  • Probabilistic Graphical Models 1: Representation: Stanford University

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