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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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    EDUCBA

    Machine Learning Projects in R with Caret

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 한국어

    Skills you'll gain: Generative AI, Google Cloud Platform, Cloud Infrastructure, MLOps (Machine Learning Operations), Big Data, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, AI Workflows, Machine Learning, Model Deployment, Model Evaluation, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: New
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    EDUCBA

    Advanced Machine Learning with R: Apply & Predict

    Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Coursera

    Optimize Java Data Performance for ML

    Skills you'll gain: Java, Performance Tuning, Data Structures, Data Import/Export, Machine Learning Methods, Data Processing, Data Mining, Machine Learning, Data Analysis, Application Performance Management, Data Storage, Analysis, Algorithms, Loyalty Programs

    Advanced · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Applied Machine Learning, Small Data, Autoencoders, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Assets

    Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Smart Analytics, Machine Learning and AI on GC - 한국어

    Skills you'll gain: Google Cloud Platform, Model Deployment, Unstructured Data, Tensorflow, Applied Machine Learning, Big Data, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Jupyter, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Microsoft

    Data Analytics and Machine Learning for Big Data

    Skills you'll gain: Feature Engineering, PySpark, Model Evaluation, Deep Learning, Applied Machine Learning, Generative AI, Large Language Modeling, Transfer Learning, Data Pipelines, Distributed Computing, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Supervised Learning, Big Data, PyTorch (Machine Learning Library), Machine Learning, Unsupervised Learning, Natural Language Processing, MLOps (Machine Learning Operations), Text Mining

    Mixed · Course · 1 - 3 Months

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    Johns Hopkins University

    Artificial Intelligence for Breast Cancer Detection

    Skills you'll gain: Mammography, Artificial Intelligence, Medical Imaging, Image Analysis, Oncology, Diagnostic Radiology, Bayesian Network, Artificial Neural Networks, Radiography, Machine Learning, Model Evaluation, Epidemiology, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
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    78 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Dartmouth College

    Machine Learning Fundamentals

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

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

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    S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Bayesian Statistics, Probability & Statistics

    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: Machine Learning Algorithms, Model Evaluation, Classification Algorithms, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Applied Machine Learning, Data Validation, Regression Analysis, Feature Engineering, Statistical Methods, Verification And Validation

    4.9
    Rating, 4.9 out of 5 stars
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    331 reviews

    Intermediate · 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, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

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

  • Machine Learning Projects in R with Caret: EDUCBA
  • Introduction to AI and Machine Learning on GC - 한국어: Google Cloud
  • Advanced Machine Learning with R: Apply & Predict: EDUCBA
  • Optimize Java Data Performance for ML: Coursera
  • Machine Learning with Small Data Part 2: Northeastern University
  • Smart Analytics, Machine Learning and AI on GC - 한국어: Google Cloud
  • Data Analytics and Machine Learning for Big Data: Microsoft
  • Artificial Intelligence for Breast Cancer Detection: Johns Hopkins University
  • Machine Learning Fundamentals: Dartmouth College
  • Machine Learning Algorithms: Sungkyunkwan University

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