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    Results for "machine learning"

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Software Engineering Fundamentals

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Linux Commands, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Flask (Web Framework), Software Design, Unit Testing, Version Control, File Management, Jupyter, Scrum (Software Development), Application Development, Application Deployment, Python Programming, Data Structures, Collaborative Software, Web Scraping

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Generative AI Assistants

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Ideation, Verification And Validation, Data Validation, Productivity, AI Personalization, OpenAI, Artificial Intelligence, Personalized Service, Large Language Modeling, Risk Management Framework, Expense Management, Creative Thinking, Ingenuity, Productivity Software, Brainstorming, Data Ethics, Travel Arrangements

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.6K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Engineering Foundations

      Skills you'll gain: SQL, Web Scraping, Database Design, MySQL, Data Transformation, Data Store, Extract, Transform, Load, IBM DB2, Relational Databases, Jupyter, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Databases, Stored Procedure, Data Manipulation, Python Programming, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      56K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      An Introduction to Learning Experience Design (LXD)

      Skills you'll gain: Multimedia, Learning Theory, Instructional Design, Web Content Accessibility Guidelines, Educational Materials, Learning Management Systems, Course Development, Design Thinking, Professional Development, Brainstorming, Education Software and Technology, Motivational Skills, Communication, Design, Student-Centred Learning, Creative Thinking, Diversity Equity and Inclusion Initiatives, User Centered Design, Technology Strategies, Quality Assurance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      76 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      H

      HRCI

      Learning and Development

      Skills you'll gain: Training and Development, Training Programs, Employee Training, Developing Training Materials, Adult Education, Drive Engagement, Employee Engagement, Compliance Training, Instructional Design, Management Training And Development, Workforce Development, On-The-Job Training, Needs Assessment, Program Evaluation, Professional Development, Learning Styles, Return On Investment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      710 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Python Data Structures

      Skills you'll gain: Data Structures, Python Programming, Programming Principles, Data Import/Export, Data Manipulation, Development Environment, File Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      97K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Launching into Machine Learning en Español

      Skills you'll gain: Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Data Analysis, Unsupervised Learning, Google Cloud Platform, Regression Analysis, Sampling (Statistics), Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      131 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Key Technologies for Business

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Large Language Modeling, Cloud Security, Data Literacy, Data Mining, Artificial Intelligence, Cloud Platforms, OpenAI, Cloud Computing, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Cloud Storage, Infrastructure As A Service (IaaS), Software As A Service, Big Data, Emerging Technologies, Data Analysis, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      101K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Machine Learning and its Applications

      Skills you'll gain: Artificial Neural Networks, Matlab, Supervised Learning, Applied Machine Learning, Machine Learning, Data Cleansing, Feature Engineering, Data Transformation, Classification And Regression Tree (CART), Predictive Modeling, Regression Analysis

      Beginner · Course · 1 - 3 Months

    • U

      UNSW Sydney (The University of New South Wales)

      Learning to Teach Online

      Skills you'll gain: Education Software and Technology, End User Training and Support, Technical Communication, Quality Assurance, Innovation, Digital Transformation, Emerging Technologies, Digital Communications

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM & Darden Digital Strategy

      Skills you'll gain: Strategic Thinking, Digital Transformation, Business Strategy, Cloud Computing Architecture, Competitive Analysis, Cloud Services, Large Language Modeling, Business Transformation, Cloud Security, Big Data, Artificial Intelligence, Cloud Platforms, Data Analysis, Statistical Analysis, OpenAI, Cloud Computing, Generative AI, Apache Hadoop, Product Lifecycle Management, Business Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      45K reviews

      Beginner · Specialization · 3 - 6 Months

    • A

      Arizona State University

      Learning How To Learn for Youth

      Skills you'll gain: Learning Strategies, Productivity, Human Learning, Willingness To Learn, Mental Concentration, Creativity, Time Management, Stress Management, Problem Solving, Self-Awareness, Persistence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to machine learning

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    1…8910…203

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

    • Applied Software Engineering Fundamentals: IBM
    • Generative AI Assistants: Vanderbilt University
    • Data Engineering Foundations: IBM
    • An Introduction to Learning Experience Design (LXD): University of Michigan
    • Learning and Development: HRCI
    • Python Data Structures: University of Michigan
    • Launching into Machine Learning en Español: Google Cloud
    • Key Technologies for Business: IBM
    • Machine Learning and its Applications: University of Glasgow
    • Learning to Teach Online: UNSW Sydney (The University of New South Wales)

    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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