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    Results for "machine learning"

    • R

      Rice University

      Parallel Programming in Java

      Skills you'll gain: Java Programming, Java, Distributed Computing, Programming Principles, Application Frameworks, Algorithms, Performance Tuning, Functional Design, Scalability, Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Davis

      The Growth Mindset

      Skills you'll gain: Growth Mindedness, Lifelong Learning, Positivity, Overcoming Obstacles, Professional Development, Organizational Change, Employee Engagement, Constructive Feedback, Adaptability, Resilience, Personal Development, Leadership Development, Self-Awareness, Collaboration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Support Vector Machines in Python, From Start to Finish

      Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Cloud Computing, Classification And Regression Tree (CART), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Pandas (Python Package), Data Visualization, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      155 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • A

      American Psychological Association

      Psychology of Anxiety, Mood, Substance Use, and Addictive Behaviors

      Skills you'll gain: Mental and Behavioral Health Specialties, Mental Health Diseases and Disorders, Clinical Psychology, Mental and Behavioral Health, Mental Health Therapies, Psychiatry, Psychological Evaluations, Mental Health, Psychotherapy, Behavioral Health, Cultural Diversity, Epidemiology, Psychiatric And Mental Health Nursing, Pharmacology, Neurology, Demography, Psychology, Pharmacotherapy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      153 reviews

      Beginner · Specialization · 3 - 6 Months

    • L

      LearnQuest

      Demand Forecasting Using Time Series

      Skills you'll gain: Time Series Analysis and Forecasting, Trend Analysis, Data Visualization, Customer Demand Planning, Regression Analysis, Matplotlib, Forecasting, Statistical Analysis, Predictive Modeling, Predictive Analytics, Supply Chain, Data Analysis, Pandas (Python Package)

      3.4
      Rating, 3.4 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Minnesota

      Introduction to Recommender Systems: Non-Personalized and Content-Based

      Skills you'll gain: Taxonomy, AI Personalization, Spreadsheet Software, Machine Learning, Predictive Analytics, Statistical Methods, Persona Development, Descriptive Statistics, Data Collection, Algorithms, Java Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      647 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Python Classes and Inheritance

      Skills you'll gain: Object Oriented Programming (OOP), JSON, Object Oriented Design, Unit Testing, Python Programming, Maintainability, Debugging, Software Testing, Data Structures

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

      Intermediate · Course · 1 - 4 Weeks

    • U

      University at Buffalo

      Improving Leadership & Governance in Nonprofit Organizations

      Skills you'll gain: Governance, Peer Review, Consulting, Non-Profit Accounting, Performance Measurement, Meeting Facilitation, Leadership and Management, Organizational Strategy, Strategic Leadership, Report Writing, Organizational Effectiveness, Leadership, Performance Analysis, Performance Management, Organizational Change, Philanthropy, Change Management, Resource Management, Public Administration, Management Reporting

      4.4
      Rating, 4.4 out of 5 stars
      ·
      251 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      Universidad de Palermo

      Psicología

      Skills you'll gain: Student-Centred Learning, Psychology, Human Learning, Learning Theory, Creativity, Human Development, Behavior Management, Neurology, Self-Awareness, Education and Training, Culture, Molecular Biology, Cognitive flexibility, Learning Strategies, Anatomy, School Psychology, Social Sciences, Mental Health, Computational Thinking, Systems Thinking

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      L

      Ludwig-Maximilians-Universität München (LMU)

      Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

      Skills you'll gain: Finite Element Methods, Numerical Analysis, Jupyter, Engineering Analysis, Differential Equations, Applied Mathematics, NumPy, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Linear Algebra, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      386 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      PyTorch Ultimate 2024 - From Basics to Cutting-Edge

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Generative AI, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Text Mining, Python Programming, Supervised Learning, Regression Analysis, Google Cloud Platform, Data Processing, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      35 reviews

      Intermediate · Specialization · 3 - 6 Months

    • P

      Politecnico di Milano

      Designing Learning Innovation

      Skills you'll gain: Pedagogy, Course Development, Instructional and Curriculum Design, Instructional Strategies, Student Engagement, Educational Materials, Innovation, Curriculum Planning, Student-Centred Learning, Learning Theory, Open Source Technology, Learning Strategies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      677 reviews

      Beginner · Course · 1 - 3 Months

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

    • Parallel Programming in Java: Rice University
    • The Growth Mindset: University of California, Davis
    • Support Vector Machines in Python, From Start to Finish: Coursera Project Network
    • Psychology of Anxiety, Mood, Substance Use, and Addictive Behaviors: American Psychological Association
    • Demand Forecasting Using Time Series: LearnQuest
    • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
    • Python Classes and Inheritance: University of Michigan
    • Improving Leadership & Governance in Nonprofit Organizations: University at Buffalo
    • Psicología: Universidad de Palermo
    • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)

    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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