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    Results for "machine learning"

    • Status: Free
      Free
      U

      Universitat de Barcelona

      THINK GLOBAL: TEACHERS TRAINING COURSE (IDP-ICE)

      Skills you'll gain: Education and Training, Intercultural Competence, Culture, Teaching, Cultural Diversity, Curriculum Planning, Instructional Strategies, Student Engagement, Research, Research Methodologies, Student-Centred Learning, Surveys, Pedagogy, Diversity Awareness

      4.7
      Rating, 4.7 out of 5 stars
      ·
      137 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tsinghua University

      Data Structures and Algorithms (I)

      Skills you'll gain: Data Structures, Algorithms, Computational Thinking, Theoretical Computer Science, Computer Programming, Computer Science

      3.1
      Rating, 3.1 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Critical Path Analysis Using Lucidchart

      Skills you'll gain: Project Schedules, Scheduling, Timelines, Project Planning, Milestones (Project Management), Dependency Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      77 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Industrial Fluid systems & Smart Factory Automation

      Skills you'll gain: Electrical Systems, Automation Engineering, Hydraulics, Programmable Logic Controllers, Control Systems, Mechanical Engineering, Real Time Data, Internet Of Things, Automation, Industrial Engineering, Hardware Troubleshooting, Equipment Design, Manufacturing Processes, Manufacturing and Production, Production Process, Robotic Process Automation, Failure Analysis, Emerging Technologies, Digital Transformation, Manufacturing Operations

      4.5
      Rating, 4.5 out of 5 stars
      ·
      21 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Python for Finance: Investment Fundamentals & Data Analytics

      Skills you'll gain: Regression Analysis, Risk Analysis, Portfolio Management, Financial Analysis, Risk Management, Financial Modeling, Statistical Analysis, Data Visualization, Investment Management, Simulations, Financial Forecasting, Python Programming, Matplotlib, Pandas (Python Package), Jupyter, NumPy, Data Manipulation

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Foundations of Strategic Communications

      Skills you'll gain: Non-Verbal Communication, Interpersonal Communications, Technical Communication, Target Audience, Strategic Communication, Communication, Business Communication, Persuasive Communication, Technical Management, Professional Development, Leadership, Influencing, Organizational Leadership, Active Listening, Culture

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      C++ Programming: Classes and Data

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Programming Principles, Data Structures, Program Development, Data Management

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      60 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IIMA - IIM Ahmedabad

      How to Transform Digitally?

      Skills you'll gain: Digital Transformation, Business Transformation, Stakeholder Engagement, Organizational Change, Change Management, Business Modeling, Technology Strategies, Enterprise Architecture, Cloud Computing Architecture, Governance, Business Technologies, Operational Excellence, Workforce Development, Cybersecurity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      29 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      K

      KodeKloud

      Kubernetes Basics for DevOps

      Skills you'll gain: Kubernetes, Microservices, Containerization, Cloud-Native Computing, Docker (Software), DevOps, Application Deployment, YAML, General Networking, Scalability, Command-Line Interface

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      PepsiCo

      PepsiCo: Water Stewardship

      Skills you'll gain: Water Resources, Environment and Resource Management, Environment, Corporate Sustainability, Stakeholder Engagement, Hydraulics, Civil Engineering, Environmental Laws, Natural Resource Management, Strategic Planning, Governance, Strategic Thinking, Forecasting, Environmental Science, Environmental Social And Corporate Governance (ESG), Quantitative Research, Supply Chain Management, Environmental Engineering, Supply Chain, Economics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Instructor Network

      How to Conduct a Social Impact Assessment with SROI

      Skills you'll gain: Return On Investment, Sustainability Reporting, Needs Assessment, Program Evaluation, Performance Reporting, Stakeholder Management, Socioeconomics, Project Scoping, Social Sciences, Goal Setting, Project Performance, Analysis, Economics, Policy, and Social Studies, Environment and Resource Management, Data Collection

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Practical Data Science for Data Analysts

      Skills you'll gain: Feature Engineering, Data Import/Export, Matplotlib, Exploratory Data Analysis, Data Science, Regression Analysis, Financial Data, Data Analysis, Business Analytics, Data Cleansing, Data Literacy, Pandas (Python Package), Machine Learning Algorithms, Financial Analysis, Predictive Analytics, Predictive Modeling, Applied Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Statistical Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Advanced · Specialization · 3 - 6 Months

    Searches related to machine learning

    machine learning specialization
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    machine learning foundations: a case study approach
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    1…238239240…419

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

    • THINK GLOBAL: TEACHERS TRAINING COURSE (IDP-ICE): Universitat de Barcelona
    • Data Structures and Algorithms (I): Tsinghua University
    • Critical Path Analysis Using Lucidchart: Coursera Project Network
    • Industrial Fluid systems & Smart Factory Automation: L&T EduTech
    • Python for Finance: Investment Fundamentals & Data Analytics: Packt
    • Foundations of Strategic Communications: Johns Hopkins University
    • C++ Programming: Classes and Data: University of London
    • How to Transform Digitally?: IIMA - IIM Ahmedabad
    • Kubernetes Basics for DevOps: KodeKloud
    • PepsiCo: Water Stewardship: PepsiCo

    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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