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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


  • C

    Coursera

    GenAI for Data Analysts

    Skills you'll gain: Generative AI, Data Analysis, Advanced Analytics, Analytics, AI Product Strategy, Data Transformation, Predictive Analytics, Data Preprocessing, Machine Learning Algorithms, Responsible AI

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Advanced Computer Vision with TensorFlow

    Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Transfer Learning, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Classification Algorithms, Model Evaluation, Visualization (Computer Graphics), Network Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    533 reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Computer Vision: Face Recognition Quick Starter in Python

    Skills you'll gain: Computer Vision, Python Programming, Image Analysis, Real Time Data, Classification Algorithms, Development Environment, Deep Learning, Software Installation, Algorithms

    Beginner · Course · 3 - 6 Months

  • I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Image Analysis, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Advanced · Course · 1 - 4 Weeks

  • N

    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, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • E

    Edureka

    Mastering AI: Neural Nets, Vision System, Speech Recognition

    Skills you'll gain: Supervised Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning Methods, Convolutional Neural Networks, Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, Classification Algorithms, Artificial Intelligence, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Machine Learning, Seaborn, Applied Machine Learning, Digital Signal Processing, Statistical Inference

    3.6
    Rating, 3.6 out of 5 stars
    ·
    7 reviews

    Intermediate · Specialization · 3 - 6 Months

  • S

    Skillshare

    Watch Me Design a Pattern Collection: Creative Struggles

    Skills you'll gain: Adobe Photoshop, Journals, Design Thinking, Creative Design, Creativity, Design Strategies, Design, Graphic and Visual Design, Design Elements And Principles

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Model Deployment, Data Ethics, Data Preprocessing, Machine Learning, Computer Programming, Model Evaluation, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    162 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Introduction to Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Image Analysis, Machine Learning, Computer Vision, Model Evaluation, Supervised Learning, Algorithms, Statistical Methods, Linear Algebra, Probability

    4.1
    Rating, 4.1 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • N

    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

  • U

    University of Michigan

    Applied Data Science with Python

    Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Scientific Visualization, Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Data Manipulation, NumPy, Graph Theory, Data Preprocessing, Natural Language Processing, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    34K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • GenAI for Data Analysts: Coursera
  • Advanced Computer Vision with TensorFlow: DeepLearning.AI
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Computer Vision: Face Recognition Quick Starter in Python: Packt
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Mastering AI: Neural Nets, Vision System, Speech Recognition: Edureka
  • Watch Me Design a Pattern Collection: Creative Struggles: Skillshare
  • Computer Vision with Embedded Machine Learning: Edge Impulse
  • Introduction to Neural Networks: Johns Hopkins University

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