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    Results for "machine learning"

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Computational Thinking with JavaScript 2: Model & Analyse

      Skills you'll gain: JSON, Data Structures, Computational Thinking, Data Analysis, Data Visualization Software, Scripting Languages, Scripting, Javascript, Data Processing, Unsupervised Learning, Data Science, Data Modeling, Machine Learning, Programming Principles, Algorithms

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Modèles de séquence

      Skills you'll gain: Natural Language Processing, Deep Learning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Washington

      머신 러닝: 회귀 모델

      Skills you'll gain: Regression Analysis, Supervised Learning, Predictive Modeling, Statistical Modeling, Statistical Methods, Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Feature Engineering, Linear Algebra, NumPy, Algorithms

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Üretken Yapay Zekaya Giriş

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

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      GenAI and Model Selection

      Skills you'll gain: Generative AI, Applied Machine Learning, Statistical Modeling, Large Language Modeling, AI Personalization, Machine Learning, Systems Integration, Computational Thinking, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Generative AI - Deutsch

      Skills you'll gain: Generative AI, Application Development, Google Cloud Platform, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of ML & Python for Data Science

      Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Descriptive Statistics, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Probability

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      컴퓨터 비전 분야에서의 딥 러닝 응용 사례

      Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Mastering Neural Networks and Model Regularization

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Image Analysis, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision

      Intermediate · Course · 1 - 3 Months

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

      University of Minnesota

      Predictive Analytics Project Ideation

      Skills you'll gain: Predictive Analytics, Business Analytics, Customer Analysis, Project Design, Applied Machine Learning, Solution Design, Sprint Planning, Machine Learning, Brainstorming, Design Thinking, Analysis, Decision Tree Learning, Deep Learning, Time Series Analysis and Forecasting

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Math for AI Beginner Part 2 : Vector Calulus

      Skills you'll gain: Integral Calculus, Applied Mathematics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematics and Mathematical Modeling, Mathematical Modeling, Advanced Mathematics, Machine Learning

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Financial Analysis with ARIMA and Time Series Forecasting

      Skills you'll gain: Time Series Analysis and Forecasting, Financial Forecasting, Statistical Analysis, Machine Learning, Trend Analysis, Financial Data, Financial Modeling, Jupyter, Predictive Modeling, Regression Analysis, Finance, GitHub

      Intermediate · Course · 1 - 3 Months

    Searches related to machine learning

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    machine learning andrew ng
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    machine learning stanford
    machine learning foundations: a case study approach
    machine learning in production
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    1…525354…59

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

    • Computational Thinking with JavaScript 2: Model & Analyse: University of Glasgow
    • Modèles de séquence: DeepLearning.AI
    • 머신 러닝: 회귀 모델: University of Washington
    • Üretken Yapay Zekaya Giriş: Google Cloud
    • GenAI and Model Selection: Coursera Instructor Network
    • Introduction to Generative AI - Deutsch: Google Cloud
    • Foundations of ML & Python for Data Science: Packt
    • 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
    • Mastering Neural Networks and Model Regularization: Johns Hopkins University
    • Predictive Analytics Project Ideation: University of Minnesota

    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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