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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

    Tweet Emotion Recognition with TensorFlow

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

    ★ 4.5 (174) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Data Science Capstone

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Model Training, Predictive Modeling, Data Science, Analytical Skills, Data Analysis, Model Optimization, Data Presentation, Data Processing, Data Collection, Data Modeling, Data Cleansing, R Programming, Machine Learning, Natural Language Processing

    ★ 4.5 (1.2K) · Mixed · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

    Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Model Training, Applied Machine Learning, Artificial Intelligence, Data Preprocessing, Machine Learning

    ★ 4.8 (20K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Detecting COVID-19 with Chest X-Ray using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Training, Convolutional Neural Networks, Transfer Learning, Image Analysis, Predictive Modeling, Deep Learning, Radiology, Medical Imaging, Computer Vision, Machine Learning, Data Preprocessing, Data Transformation

    ★ 4.5 (340) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Browser-based Models with TensorFlow.js

    Skills you'll gain: Image Analysis, Tensorflow, Transfer Learning, Convolutional Neural Networks, Computer Vision, Fine-tuning, JavaScript Frameworks, JSON, Model Deployment, Browser Compatibility, Javascript, Model Training, Data Processing, Real Time Data, Web Applications, Data Capture, Machine Learning

    ★ 4.8 (1K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Fake News Detection with Machine Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Plot (Graphics), Artificial Neural Networks, Data Cleansing, Data Import/Export, Data Preprocessing, Natural Language Processing, Model Training, Applied Machine Learning, Python Programming, Machine Learning, Automation

    ★ 4.6 (264) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms

    ★ 4.6 (304) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    NLP: Twitter Sentiment Analysis

    Skills you'll gain: Model Evaluation, Model Training, Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Natural Language Processing, Data Preprocessing, Social Media Analytics, Unstructured Data, Classification Algorithms, Python Programming, Applied Machine Learning, Machine Learning, Automation

    ★ 4.6 (374) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • D

    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Cloud Engineering, Google Cloud Platform, Model Deployment, Cloud Applications, Cloud Development, Cloud API, Cloud Deployment, Artificial Intelligence, Machine Learning, Microsoft Azure, AI Workflows, Software Engineering, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

    ★ 4.5 (91) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • L

    LearnQuest

    Developing AI Applications on Azure

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Model Training, Model Deployment, Microsoft Azure, Artificial Intelligence, Applied Machine Learning, Python Programming, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Process Driven Development, Natural Language Processing, Application Programming Interface (API)

    ★ 4.4 (978) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Transfer Learning for NLP with TensorFlow Hub

    Skills you'll gain: Transfer Learning, Fine-tuning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Model Training, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization

    ★ 4.8 (181) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • I

    IBM

    AI Workflow: AI in Production

    Skills you'll gain: Model Deployment, Application Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, AI Integrations, Model Evaluation, Machine Learning, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming, Design Thinking

    ★ 4.5 (60) · Advanced · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…8910…22

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

  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Data Science Capstone: Johns Hopkins University
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
  • Detecting COVID-19 with Chest X-Ray using PyTorch: Coursera
  • Browser-based Models with TensorFlow.js: DeepLearning.AI
  • Fake News Detection with Machine Learning: Coursera
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • NLP: Twitter Sentiment Analysis: Coursera
  • Cloud Machine Learning Engineering and MLOps: Duke University
  • Developing AI Applications on Azure: LearnQuest

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