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    Results for "machine learning"

    • Status: New
      New
      B

      Board Infinity

      Mastering DeepSeek: From Architecture to Application

      Skills you'll gain: Deep Learning, Generative AI Agents, Generative AI, Business Process Automation, Large Language Modeling, Application Deployment, Prompt Engineering, Software Development Tools, Software Architecture, Automation, Development Environment, Application Programming Interface (API), Artificial Intelligence, Integration Testing, Systems Architecture, Applied Machine Learning, Unstructured Data, Open Source Technology, Reinforcement Learning, Scalability

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      B

      Board Infinity

      DeepSeek Essentials: From Foundations to Real-World Use

      Skills you'll gain: Open Source Technology, Large Language Modeling, AI Personalization, Prompt Engineering, Generative AI, Artificial Intelligence, Applied Machine Learning, Application Programming Interface (API), Natural Language Processing, Data Security

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Responsible AI: Transparency & Ethics

      Skills you'll gain: Data Ethics, Artificial Intelligence, Compliance Management, Risk Mitigation, Regulatory Compliance, OpenAI, Ethical Standards And Conduct, Predictive Modeling, Business Ethics, Feature Engineering, Machine Learning, Diversity and Inclusion, Prompt Engineering, Exploratory Data Analysis, Auditing, Governance

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      Ludwig-Maximilians-Universität München (LMU)

      Competitive Strategy and Organization Design

      Skills you'll gain: Mergers & Acquisitions, Customer Retention, Business Research, Business Strategy, Organizational Structure, Organizational Strategy, Peer Review, Game Theory, Strategic Thinking, Competitive Analysis, Strategic Partnership, Product Strategy, Report Writing, Business Consulting, Growth Strategies, Organizational Effectiveness, Strategic Decision-Making, Management Consulting, Corporate Strategy, Compliance Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Commonwealth Education Trust

      Foundations of Teaching for Learning: Being a Teacher

      Skills you'll gain: Pedagogy, Communication Strategies, Teaching, Instructional Strategies, Course Development, Student Engagement, Working With Children, Professional Development, Self-Awareness, Cultural Diversity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 3 Months

    • C

      Commonwealth Education Trust

      Foundations of Teaching for Learning: Introduction to Student Assessment

      Skills you'll gain: Constructive Feedback, Teaching, Education and Training, Curriculum Planning, Student Engagement, Quality Assessment, Surveys, Instructional Strategies, Peer Review, Performance Reporting, Reliability

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Google AI Essentials

      Skills you'll gain: Prompt Engineering, Generative AI, Workflow Management, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Artificial Intelligence, Process Optimization, ChatGPT, Productivity Software, Workforce Development, Strategic Thinking, Security Awareness, Diversity Awareness, Risk Management Framework, Digital Transformation, Innovation, Technical Writing, Emerging Technologies, Machine Learning Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      703 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Learning and Development

      Skills you'll gain: Data Ethics, Microsoft Copilot, Generative AI, Training and Development, Instructional Design, ChatGPT, Productivity Software, Education Software and Technology, Training Programs, Artificial Intelligence, Developing Training Materials, Learning Management Systems, Operational Efficiency, Business Ethics, Ethical Standards And Conduct

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Using Python to Interact with the Operating System

      Skills you'll gain: Bash (Scripting Language), Unit Testing, Scripting, Unix Shell, Shell Script, Linux Commands, Test Driven Development (TDD), Unix Commands, Unix, Scripting Languages, Development Environment, Operating Systems, Command-Line Interface, File Management, OS Process Management, Automation, Debugging, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Skills you'll gain: Generative AI, Tensorflow, Computer Vision, Image Analysis, Deep Learning, Keras (Neural Network Library), Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Distributed Computing, Computer Graphics, Unsupervised Learning, Network Model, Visualization (Computer Graphics), Network Architecture, Performance Tuning, Machine Learning Methods, API Design, Object Oriented Programming (OOP)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • H

      Hebrew University of Jerusalem

      Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

      Skills you'll gain: Computer Architecture, Computer Hardware, Computational Logic, Computer Programming, System Design and Implementation, Technical Design, Software Design, Program Development, Debugging, Verification And Validation, Development Environment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.7K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to machine learning

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    machine learning foundations: a case study approach
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    1…373839…417

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

    • Mastering DeepSeek: From Architecture to Application: Board Infinity
    • DeepSeek Essentials: From Foundations to Real-World Use: Board Infinity
    • Responsible AI: Transparency & Ethics: Coursera Instructor Network
    • Competitive Strategy and Organization Design: Ludwig-Maximilians-Universität München (LMU)
    • Foundations of Teaching for Learning: Being a Teacher: Commonwealth Education Trust
    • Foundations of Teaching for Learning: Introduction to Student Assessment: Commonwealth Education Trust
    • Google AI Essentials: Google
    • GenAI for Learning and Development: Coursera Instructor Network
    • Using Python to Interact with the Operating System: Google
    • TensorFlow: Advanced Techniques: DeepLearning.AI

    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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