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    Results for "machine learning"

    • U

      Universidad Austral

      Optimización de Redes Neuronales Profundas

      Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Statistical Analysis, Machine Learning Algorithms, Analysis, Applied Machine Learning, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Cours intensif sur la science des données

      Skills you'll gain: Data Science, Project Design, Data Analysis, Data Management, Data-Driven Decision-Making, Business Analytics, Performance Metric, Probability & Statistics, Machine Learning

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      O

      Oracle

      Oracle Cloud Infrastructure AI Foundations

      Skills you'll gain: Generative AI, Oracle Cloud, Large Language Modeling, Artificial Intelligence, Supervised Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Unsupervised Learning, Computer Vision, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • B

      Board Infinity

      The Rise of Generative AI

      Skills you'll gain: Generative AI, Artificial Neural Networks, Artificial Intelligence, Deep Learning, Large Language Modeling, Machine Learning, Emerging Technologies, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • S

      Sungkyunkwan University

      Recommender Systems

      Skills you'll gain: Scalability, Deep Learning, Applied Machine Learning, AI Personalization, Data Mining, Unsupervised Learning, Predictive Modeling, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms, Artificial Neural Networks, Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      NLP System Architecture and Dev-Ops

      Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Machine Learning Algorithms, Software Development Life Cycle, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Washington

      머신 러닝 기초: 사례 연구 접근 방식

      Skills you'll gain: Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Predictive Analytics, Artificial Intelligence, Image Analysis, Unsupervised Learning, Text Mining, Natural Language Processing, Data Mining

      Mixed · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      هيكلة مشاريع التعلم الآلي

      Skills you'll gain: Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, Supervised Learning, Performance Tuning, Test Data

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Deep Learning - Artificial Neural Networks with TensorFlow

      Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Image Analysis, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, NumPy

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency

      Skills you'll gain: Applied Machine Learning, Testability, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Intelligence, Interoperability, Data Ethics, Data-Driven Decision-Making, Technical Communication, Visualization (Computer Graphics)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Modeling and Predicting Climate Anomalies

      Skills you'll gain: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Data Science, Environmental Policy, Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Supervised Learning, Environment, Environmental Issue, International Relations, Policy Analysis, Energy and Utilities

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Capstone Assignment - CDSS 5

      Skills you'll gain: Data Mining, Deep Learning, Health Informatics, Applied Machine Learning, Machine Learning, Artificial Intelligence, Healthcare Ethics, Time Series Analysis and Forecasting

      Intermediate · Course · 1 - 4 Weeks

    Searches related to machine learning

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    1…474849…58

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

    • Optimización de Redes Neuronales Profundas: Universidad Austral
    • Cours intensif sur la science des données: Johns Hopkins University
    • Oracle Cloud Infrastructure AI Foundations: Oracle
    • The Rise of Generative AI: Board Infinity
    • Recommender Systems: Sungkyunkwan University
    • NLP System Architecture and Dev-Ops: Universidad Austral
    • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
    • هيكلة مشاريع التعلم الآلي: DeepLearning.AI
    • Deep Learning - Artificial Neural Networks with TensorFlow: Packt
    • Responsible AI for Developers: Interpretability & Transparency: Google Cloud

    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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