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    Results for "machine learning"

    • U

      University of London

      모두를 위한 머신 러닝

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Computer Vision, Data Literacy, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Colorado Boulder

      Fundamentals of Natural Language Processing

      Skills you'll gain: Natural Language Processing, Text Mining, Statistical Modeling, Data Processing, Probability & Statistics, Unstructured Data, Artificial Neural Networks, Machine Learning, Supervised Learning, Algorithms, Regression Analysis

      Build toward a degree

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Teaching Impacts of Technology: Data Collection, Use, and Privacy

      Skills you'll gain: Data Ethics, Big Data, Cybersecurity, Pedagogy, Data Security, Cryptography, Information Privacy, Encryption, AI Personalization, Computer Science, Web Applications, Web Servers, Machine Learning, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Fundamentals of Analytics on AWS

      Skills you'll gain: Data-Driven Decision-Making, Data Lakes, Analytics, Data Architecture, Data Warehousing, Data Management, Data Analysis, Big Data, Business Analytics, Data Storage, Amazon Web Services, Machine Learning, Data Strategy

      4.4
      Rating, 4.4 out of 5 stars
      ·
      23 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Deep Learning with Real-World Projects

      Skills you'll gain: Matplotlib, Data Visualization, Deep Learning, Linear Algebra, Artificial Neural Networks, NumPy, Image Analysis, Keras (Neural Network Library), Seaborn, Pandas (Python Package), Tensorflow, Machine Learning, Applied Machine Learning, Computer Vision, Scikit Learn (Machine Learning Library), Supervised Learning, Python Programming, Jupyter, Machine Learning Methods, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      6 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Supervised Text Classification for Marketing Analytics

      Skills you'll gain: Supervised Learning, Marketing Analytics, Machine Learning, Deep Learning, Machine Learning Algorithms, Tensorflow, Scikit Learn (Machine Learning Library), Python Programming, Marketing, Natural Language Processing, Google Cloud Platform, Artificial Neural Networks, Text Mining, Performance Metric

      Build toward a degree

      3.1
      Rating, 3.1 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      N

      Northeastern University

      Generative AI: Foundations and Concepts

      Skills you'll gain: Generative AI, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Computer Vision, Applied Mathematics, Machine Learning, Network Architecture, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Generative AI - Italiano

      Skills you'll gain: Generative AI, Application Development, Google Cloud Platform, Artificial Intelligence, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

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

      University of Glasgow

      Fundamental MATLAB Programming for AI

      Skills you'll gain: Matlab, Data Manipulation, Artificial Intelligence, Data Cleansing, Programming Principles, Computer Programming, Machine Learning, Scripting, Data Structures, Program Development, Plot (Graphics), Debugging

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      NLP Modelos y Algoritmos

      Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Unsupervised Learning, Algorithms, Supervised Learning

      3.7
      Rating, 3.7 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad Austral

      Introducción al Aprendizaje Profundo

      Skills you'll gain: Supervised Learning, Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Linear Algebra, Regression Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Clustering Analysis

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Statistical Machine Learning, Exploratory Data Analysis, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to machine learning

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    1…434445…59

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

    • 모두를 위한 머신 러닝: University of London
    • Fundamentals of Natural Language Processing: University of Colorado Boulder
    • Teaching Impacts of Technology: Data Collection, Use, and Privacy: University of California San Diego
    • Fundamentals of Analytics on AWS: Amazon Web Services
    • Deep Learning with Real-World Projects: Packt
    • Supervised Text Classification for Marketing Analytics: University of Colorado Boulder
    • Generative AI: Foundations and Concepts: Northeastern University
    • Introduction to Generative AI - Italiano: Google Cloud
    • Fundamental MATLAB Programming for AI: University of Glasgow
    • NLP Modelos y Algoritmos: Universidad Austral

    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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