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.

Skills you'll gain: Technical Analysis, Market Trend, Risk Management, Financial Trading, Trend Analysis, Risk Analysis, Market Dynamics, Market Analysis, Verification And Validation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Embedded Software, Data Preprocessing, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Neural Networks, Machine Learning Algorithms, Model Training, Convolutional Neural Networks, Feature Engineering, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment, Microarchitecture
Intermediate · Course · 1 - 3 Months

Wesleyan University
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Statistical Machine Learning, Predictive Modeling, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Data Science, Data Mining, Analytics, Exploratory Data Analysis, Regression Analysis, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, System Design and Implementation
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Model Training, Model Optimization, Applied Machine Learning, Fine-tuning, Feature Engineering, Machine Learning, Model Evaluation, Classification Algorithms
Build toward a degree
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Data Storytelling, Performance Measurement, Digital Media Strategy, Performance Metric, Search Engine Marketing, Conversion Funnel Analysis, Data-Driven Decision-Making, Search Engine Optimization, Branding, Web Analytics and SEO, Digital Marketing, Customer Engagement, Marketing Planning, Marketing Strategies, Marketing, E-Commerce, Email Marketing, Brand Awareness, Marketing Analytics, Performance marketing
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Fine-tuning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Data Preprocessing, Embeddings, Model Training, Network Architecture
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Transfer Learning, Convolutional Neural Networks, Fine-tuning, Applied Machine Learning, Model Training, Deep Learning, Model Optimization, Classification Algorithms, Model Evaluation, Visualization (Computer Graphics)
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Computational Thinking, Programming Principles, Problem Solving, Disaster Recovery, Algorithms, Computer Programming, Epidemiology
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Computer Vision, Image Analysis, Model Training, Data Transformation, NumPy, Color Theory
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm
Beginner · Course · 1 - 4 Weeks