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    Results for "machine learning"

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - 繁體中文

      Skills you'll gain: Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Google Cloud Platform, Open Source Technology, Machine Learning, Data Validation, Data Quality

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 한국어

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

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Français

      Skills you'll gain: Cloud Security, Information Privacy, Generative AI, Google Cloud Platform, Data Ethics, Personally Identifiable Information, Data Security, Artificial Intelligence, Encryption, Safety and Security, Identity and Access Management, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Capstone Project

      Skills you'll gain:

      Advanced · Course

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 繁體中文

      Skills you'll gain: Generative AI, Google Cloud Platform, Big Data, Customer Relationship Management, SQL, Business Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 日本語版

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      BigQuery 머신러닝을 사용한 추론

      Skills you'll gain: Data Analysis, Big Data, MLOps (Machine Learning Operations), Applied Machine Learning, Google Cloud Platform, Predictive Modeling, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Cómo utilizar BigQuery ML para ejecutar inferencias

      Skills you'll gain: Analytics, Data Analysis, Applied Machine Learning, MLOps (Machine Learning Operations), Google Cloud Platform, Machine Learning, Predictive Modeling, SQL

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어

      Skills you'll gain: Generative AI, Continuous Monitoring, Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Machine Learning Methods, Data Quality

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Geliştiriciler için Sorumlu Yapay Zeka: Yorumlanabilirlik ve Şeffaflık

      Skills you'll gain: Data Ethics, Applied Machine Learning, Machine Learning, Artificial Intelligence, Software Visualization, Data Visualization Software, Data Quality, Technical Documentation

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - 한국어

      Skills you'll gain: Open Source Technology, Data Ethics, Google Cloud Platform, Artificial Intelligence, MLOps (Machine Learning Operations), Machine Learning, Data Analysis Software

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Français

      Skills you'll gain: Data Ethics, Open Source Technology, Google Cloud Platform, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Quality, Data Analysis

      Intermediate · Course · 1 - 3 Months

    Searches related to machine learning

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    1…412413414…418

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

    • Responsible AI for Developers: Fairness & Bias - 繁體中文: Google Cloud
    • Work with Gemini Models in BigQuery - 한국어: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - Français: Google Cloud
    • Capstone Project: IBM
    • Work with Gemini Models in BigQuery - 繁體中文: Google Cloud
    • Work with Gemini Models in BigQuery - 日本語版: Google Cloud
    • BigQuery 머신러닝을 사용한 추론: Google Cloud
    • Cómo utilizar BigQuery ML para ejecutar inferencias: Google Cloud
    • MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어: Google Cloud
    • Geliştiriciler için Sorumlu Yapay Zeka: Yorumlanabilirlik ve Şeffaflık: 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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