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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


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    Whizlabs

    Exam Prep AIF-C01: AWS Certified AI Practitioner

    Skills you'll gain: Amazon Bedrock, Prompt Engineering, Responsible AI, AI Security, Generative AI, MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, AWS Identity and Access Management (IAM), Amazon S3, Model Deployment, Model Evaluation, Natural Language Processing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Basic Image Classification with TensorFlow

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    847 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics

    Beginner · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning and Data Analytics Part 1

    Skills you'll gain: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Feature Engineering, Predictive Modeling, Statistical Analysis, Data Preprocessing, Case Studies, Supervised Learning, Project Implementation

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    EDUCBA

    Master AWS Rekognition: Analyze, Detect, and Automate

    Skills you'll gain: Serverless Computing, Computer Vision, Image Analysis, Amazon Web Services, AI Enablement, Amazon S3, AWS Identity and Access Management (IAM), Text Mining, Data Processing, Unstructured Data

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Association Rules Analysis

    Skills you'll gain: Unsupervised Learning, Anomaly Detection, Data Preprocessing, Machine Learning Methods, Data Mining, Feature Engineering, Data Analysis, Machine Learning Algorithms, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    12 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    IBM IT Scrum Master

    Skills you'll gain: User Story, Software Development Life Cycle, Software Architecture, Sprint Retrospectives, Agile Software Development, Kanban Principles, DevOps, Backlogs, Software Design, Scrum (Software Development), Information Technology, Computer Hardware, Software Development Methodologies, Software Design Patterns, Agile Methodology, Agile Project Management, Sprint Planning, Risk Management, Leadership, Communication

    4.8
    Rating, 4.8 out of 5 stars
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    11K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Deep Learning - Computer Vision for Beginners Using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    174 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
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    DeepLearning.AI

    Sequence Models

    Skills you'll gain: Recurrent Neural Networks (RNNs), Hugging Face, Natural Language Processing, Artificial Neural Networks, Embeddings, Deep Learning, Transfer Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    31K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Exam Prep AIF-C01: AWS Certified AI Practitioner: Whizlabs
  • Basic Image Classification with TensorFlow: Coursera
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Supervised Learning Regression Classification Clustering: Simplilearn
  • Machine Learning and Data Analytics Part 1: Northeastern University
  • Master AWS Rekognition: Analyze, Detect, and Automate: EDUCBA
  • Association Rules Analysis: University of Colorado Boulder
  • IBM IT Scrum Master: IBM
  • Machine Learning and Data Analytics Part 2: Northeastern University
  • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt

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