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    Results for "machine learning"

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      AI Fundamentals and the Cloud

      Skills you'll gain: Prompt Engineering, Data Ethics, Amazon Web Services, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Public Cloud, Large Language Modeling, Generative AI, Business Ethics, Machine Learning, Application Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IESE Business School

      Accounting: Principles of Financial Accounting

      Skills you'll gain: Financial Statement Analysis, Financial Statements, Income Statement, Cash Flows, Balance Sheet, Financial Accounting, Accrual Accounting, Financial Analysis, Financial Reporting, Generally Accepted Accounting Principles (GAAP)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Finding Purpose and Meaning In Life: Living for What Matters Most

      Skills you'll gain: Goal Setting, Self-Awareness, Stress Management, Personal Development, Lifelong Learning, Resilience, Mindfulness, Positive Behavior Support, Liberal Arts, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      R Ultimate 2023 - R for Data Science and Machine Learning

      Skills you'll gain: Rmarkdown, Deep Learning, Shiny (R Package), Data Import/Export, Regression Analysis, Dimensionality Reduction, R Programming, Data Manipulation, Data Visualization, Reinforcement Learning, Web Scraping, Ggplot2, Plotly, Applied Machine Learning, Image Analysis, Artificial Intelligence, Data Mining, Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Prediction and Control with Function Approximation

      Skills you'll gain: Reinforcement Learning, Deep Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      836 reviews

      Intermediate · Course · 1 - 3 Months

    • K

      Knowledge Accelerators

      From Excel to Power BI

      Skills you'll gain: Power BI, Dashboard, Data Presentation, Interactive Data Visualization, Data Analysis Expressions (DAX), Data Import/Export, Microsoft Excel, Data Visualization Software, Business Intelligence, Data Modeling, Data-Driven Decision-Making, Data Sharing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Clemson University

      Human-Centered Artificial Intelligence

      Skills you'll gain: Artificial Intelligence, Data Ethics, Human Centered Design, Human Computer Interaction, Human Factors, Generative AI, Machine Learning, Machine Learning Algorithms, Research Methodologies, Artificial Neural Networks, Ethical Standards And Conduct, Qualitative Research, Reinforcement Learning, Algorithms

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      No-Code Machine Learning Using Amazon AWS SageMaker Canvas

      Skills you'll gain: AWS SageMaker, Applied Machine Learning, Machine Learning, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Data Processing, Version Control, Amazon S3, Data Validation, Cloud Services

      Beginner · Course · 1 - 3 Months

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

      Illinois Tech

      Advanced Statistical Techniques for Data Science

      Skills you'll gain: Machine Learning Algorithms, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Data Analysis, Data Presentation, Data Cleansing, Applied Machine Learning, Regression Analysis, Analytics, Machine Learning, R Programming, Statistical Methods, Data Science, Statistical Modeling, Data Manipulation, Data Validation, Feature Engineering, Exploratory Data Analysis

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      B

      Board Infinity

      Generative AI in Finance

      Skills you'll gain: Prompt Engineering, Generative AI, Data Ethics, Financial Data, Anomaly Detection, Large Language Modeling, Regulatory Compliance, Artificial Intelligence, Investment Management, Financial Modeling, Machine Learning, FinTech, Investments, Financial Services, Financial Forecasting, Portfolio Management, Credit Risk, Artificial Intelligence and Machine Learning (AI/ML), Compliance Management, Automation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      運用 BigQuery 建立嵌入項目、向量搜尋和 RAG

      Skills you'll gain: Generative AI, Big Data, Applied Machine Learning, Query Languages, Natural Language Processing

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      H

      H2O.ai

      H2O.ai Agents : From Theory to Practice

      Skills you'll gain: Generative AI Agents, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Artificial Intelligence, Large Language Modeling, Decision Support Systems, Application Deployment, Prompt Engineering, Applied Machine Learning, Scalability, Performance Testing, Data Integration

      Intermediate · Course · 1 - 3 Months

    Searches related to machine learning

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    machine learning foundations: a case study approach
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    1…495051…418

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

    • AI Fundamentals and the Cloud: Amazon Web Services
    • Accounting: Principles of Financial Accounting: IESE Business School
    • Finding Purpose and Meaning In Life: Living for What Matters Most: University of Michigan
    • R Ultimate 2023 - R for Data Science and Machine Learning: Packt
    • Prediction and Control with Function Approximation: University of Alberta
    • From Excel to Power BI: Knowledge Accelerators
    • Human-Centered Artificial Intelligence: Clemson University
    • No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
    • Advanced Statistical Techniques for Data Science: Illinois Tech
    • Generative AI in Finance: Board Infinity

    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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