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  • Pattern Recognition

Pattern Recognition Courses

Pattern recognition courses can help you learn techniques for data classification, feature extraction, and image analysis. You can build skills in statistical modeling, machine learning algorithms, and neural network design. Many courses introduce tools like Python libraries such as TensorFlow and scikit-learn, which are used to implement these techniques in projects involving AI and artificial intelligence applications.


Popular Pattern Recognition Courses and Certifications


  • Status: New
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    Dartmouth College

    Machine Learning Fundamentals

    Skills you'll gain: Supervised Learning, Predictive Modeling, Predictive Analytics, Statistical Modeling, Machine Learning, Machine Learning Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Johns Hopkins University

    Intrusion Detection

    Skills you'll gain: Intrusion Detection and Prevention, Incident Response, Threat Detection, Endpoint Detection and Response, Computer Security Incident Management, Cyber Threat Intelligence, Distributed Denial-Of-Service (DDoS) Attacks, Anomaly Detection, Cybersecurity, Cyber Security Strategy, Threat Management, Continuous Monitoring, System Monitoring, Virtual Machines, Network Security, Event Monitoring, Network Monitoring, Applied Machine Learning, Network Analysis, Data Analysis

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    University of Glasgow

    Machine Learning and its Applications

    5
    Rating, 5 out of 5 stars
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    47 reviews

    Beginner · Course · 1 - 3 Months

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    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification And Regression Tree (CART), Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Linear Algebra, Bayesian Statistics, Probability

    3.5
    Rating, 3.5 out of 5 stars
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    8 reviews

    Mixed · Course · 1 - 4 Weeks

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    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Algorithms, Regression Analysis, Predictive Modeling, Feature Engineering, Artificial Intelligence, Data Ethics, Statistical Methods, Data Transformation

    4.9
    Rating, 4.9 out of 5 stars
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    331 reviews

    Intermediate · Course · 1 - 3 Months

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    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Mathematical Modeling, Probability & Statistics, Regression Analysis, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    937 reviews

    Beginner · Course · 1 - 3 Months

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    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Artificial Neural Networks, Predictive Analytics, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

    Intermediate · Specialization · 3 - 6 Months

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    Dartmouth College

    Machine Learning with Neural Networks

    Skills you'll gain: Bayesian Network, Artificial Neural Networks, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Network Architecture, Algorithms, Probability Distribution

    Intermediate · Course · 1 - 3 Months

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    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

    3.8
    Rating, 3.8 out of 5 stars
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    24 reviews

    Intermediate · Course · 1 - 3 Months

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    LearnQuest

    Demand Forecasting Using Time Series

    Skills you'll gain: Time Series Analysis and Forecasting, Demand Planning, Trend Analysis, Data Visualization, Customer Demand Planning, Regression Analysis, Plot (Graphics), Matplotlib, Forecasting, Predictive Modeling, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Supply Chain Management, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Statistical Modeling, Machine Learning, Python Programming

    3.3
    Rating, 3.3 out of 5 stars
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    39 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Linear Algebra, Statistical Machine Learning, Mathematics and Mathematical Modeling, Statistical Modeling, Probability, Probability & Statistics, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, General Mathematics, Machine Learning, Applied Mathematics, Statistical Inference, Algebra

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    C

    CertNexus

    Build Regression, Classification, and Clustering Models

    Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Regression Analysis, Machine Learning Algorithms, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Feature Engineering, Classification And Regression Tree (CART), Performance Tuning, Dimensionality Reduction, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
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    18 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular pattern recognition courses

  • Machine Learning Fundamentals: Dartmouth College
  • Intrusion Detection: Johns Hopkins University
  • Machine Learning and its Applications: University of Glasgow
  • Machine Learning Algorithms: Sungkyunkwan University
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Machine Learning with Neural Networks: Dartmouth College
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Demand Forecasting Using Time Series: LearnQuest

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