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    Results for "machine learning"

    • Status: New
      New
      P

      Packt

      Accelerate Terraform Development with GitHub Copilot and AI

      Skills you'll gain: Infrastructure as Code (IaC), Terraform, Microsoft Copilot, Development Environment, DevOps, Integrated Development Environments, Software Development Tools, Generative AI, Git (Version Control System), Software Documentation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Build a Developer Portfolio with SvelteKit & Sanity CMS

      Skills you'll gain: Responsive Web Design, UI Components, Web Development, Full-Stack Web Development, Web Design and Development, Front-End Web Development, Web Development Tools, Cascading Style Sheets (CSS), Application Development, Content Management Systems, Application Deployment, Server Side, Hypertext Markup Language (HTML), Data Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      I

      IBM

      IBM RAG and Agentic AI

      Skills you'll gain:

      Advanced · Professional Certificate · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Indonesian

      Skills you'll gain: Data Ethics, Artificial Intelligence, Google Cloud Platform, Open Source Technology, Tensorflow, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      B

      Board Infinity

      Effective Code Review Practices

      Skills you'll gain: Test Automation, Test Tools, Code Review, Software Testing, Scripting, CI/CD, Software Technical Review, Test Planning, Maintainability, Test Case, Automation, Scalability

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI: Applying AI Principles with GC - 日本語版

      Skills you'll gain: Data Ethics, Business Ethics, Artificial Intelligence, Governance, Regulatory Compliance, Compliance Management, Data Governance, Google Cloud Platform, Ethical Standards And Conduct, Artificial Intelligence and Machine Learning (AI/ML)

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Português Brasileiro

      Skills you'll gain: Generative AI, Google Cloud Platform, Customer Relationship Management, Predictive Modeling, SQL, Big Data, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Scene Detailing, Prop Creation, and Rendering

      Skills you'll gain: 3D Modeling, Virtual Environment, Computer Graphic Techniques, Visualization (Computer Graphics), Graphical Tools, Design Elements And Principles, Functional Design, Creative Design, Design

      Intermediate · Course · 3 - 6 Months

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Bahasa Indonesia

      Skills you'll gain: Generative AI, Customer Relationship Management, Predictive Modeling, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), SQL, Google Cloud Platform, Jupyter, Big Data, Business Solutions

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Vector Search and Embeddings - 简体中文

      Skills you'll gain: Large Language Modeling, Text Mining, Google Cloud Platform, Natural Language Processing, Information Architecture, Applied Machine Learning, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - Italiano

      Skills you'll gain: Data Ethics, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Machine Learning, Data Integrity, Artificial Intelligence, Technical Documentation, Data Governance

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Advanced ASP.NET Core MVC, Deployment & User Management

      Skills you'll gain: User Accounts, ASP.NET, Authorization (Computing), Authentications, Application Deployment, Microsoft Azure, OAuth, Identity and Access Management, Microsoft Visual Studio, Role-Based Access Control (RBAC), Server Side, Database Management, UI Components

      Advanced · Course · 1 - 4 Weeks

    Searches related to machine learning

    machine learning specialization
    machine learning andrew ng
    machine learning by andrew ng
    machine learning stanford
    machine learning in production
    machine learning python
    machine learning with python
    machine learning for trading
    1…402403404…410

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

    • Accelerate Terraform Development with GitHub Copilot and AI: Packt
    • Build a Developer Portfolio with SvelteKit & Sanity CMS: Packt
    • IBM RAG and Agentic AI: IBM
    • Responsible AI for Developers: Fairness & Bias - Indonesian: Google Cloud
    • Effective Code Review Practices: Board Infinity
    • Responsible AI: Applying AI Principles with GC - 日本語版: Google Cloud
    • Work with Gemini Models in BigQuery - Português Brasileiro: Google Cloud
    • Scene Detailing, Prop Creation, and Rendering: Packt
    • Work with Gemini Models in BigQuery - Bahasa Indonesia: Google Cloud
    • Vector Search and Embeddings - 简体中文: Google Cloud

    Frequently Asked Questions about Machine Learning

    Machine learning courses on Coursera cover a range of essential skills including:

    • Supervised learning and unsupervised learning methodologies
    • Neural networks and deep learning architectures
    • Algorithmic foundations such as regression, classification, and clustering
    • Data preprocessing, feature engineering, and data augmentation techniques
    • Model evaluation and optimization methods
    • Practical applications of machine learning in various industries
    • Implementation of machine learning algorithms using Python and libraries like TensorFlow and PyTorch‎

    No prior programming experience is required to begin beginner machine learning courses, but having some foundational knowledge in programming (especially Python) can be very beneficial. The curriculum is structured to accommodate learners at all levels:

    • Beginners can start with introductory courses that cover basic programming and data handling.
    • Intermediate learners can advance to applying machine learning algorithms on real data.
    • Advanced professionals can explore specialized areas such as deep learning, reinforcement learning, or natural language processing.‎

    Machine learning courses on Coursera offer a variety of credentialing options:

    • Professional certificates that demonstrate a more comprehensive understanding of machine learning concepts and techniques.
    • Specialized course certificates in areas such as artificial intelligence, data science, or specific technologies like TensorFlow.
    • Certifications from leading tech companies and universities that can help enhance your professional credibility and career prospects.‎

    Skills in machine learning can open doors to numerous high-demand roles in technology and research, including:

    • Machine Learning Engineer
    • Data Scientist
    • AI Research Scientist
    • Robotics Engineer
    • Quantitative Analyst in finance
    • Software Developer specializing in AI
    • Professionals in these roles utilize machine learning techniques to create innovative solutions, improve data-driven decision-making, and push the boundaries of artificial intelligence.

    Discover which machine learning role suits you best by taking our career quiz!‎

    Yes, Coursera offers a variety of free courses across many topics, including machine learning. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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