Filter by
The language used throughout the course, in both instruction and assessments.
Results for "machine+learning+techniques"
DeepLearning.AI
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Algorithms, Regression Analysis, Performance Tuning
Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Artificial Neural Networks, Computer Vision, Regression Analysis
Skills you'll gain: Generative AI, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Tensorflow, Computer Vision, Dimensionality Reduction, Network Architecture, Natural Language Processing, NumPy
Alberta Machine Intelligence Institute
Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Predictive Modeling, Exploratory Data Analysis, Algorithms
University of Illinois Urbana-Champaign
Skills you'll gain: Machine Learning Algorithms, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Data Processing, Supervised Learning, Predictive Modeling, Python Programming, Random Forest Algorithm, Regression Analysis, Feature Engineering, Jupyter, Pandas (Python Package), Natural Language Processing, Decision Tree Learning, Performance Metric
University of Washington
Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming
Skills you'll gain: Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, Application Deployment, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Synthesis, Data Manipulation
Skills you'll gain: Predictive Modeling, Machine Learning, Data Ethics, Predictive Analytics, Statistical Modeling, Supervised Learning, Machine Learning Software, Applied Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Feature Engineering, Decision Tree Learning, Business Metrics, Data Analysis, Performance Measurement, Regression Analysis, Ethical Standards And Conduct, Deep Learning, Artificial Neural Networks
Skills you'll gain: Predictive Modeling, Data Ethics, Predictive Analytics, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Supervised Learning, Machine Learning Software, Business Ethics, Decision Tree Learning, Leadership and Management, Artificial Intelligence, Business Analytics, Machine Learning Algorithms, Data Processing, Business Leadership, Feature Engineering
Arizona State University
Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative AI, Deep Learning, Image Analysis, Machine Learning Algorithms, Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Computer Vision, Predictive Modeling, Regression Analysis
University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Statistical Modeling, Supervised Learning, Statistics, Machine Learning, Data Processing, Artificial Intelligence, Artificial Neural Networks, Algorithms, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML), Computational Thinking
- Status: Free
National Taiwan University
Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Algorithms, Regression Analysis, Predictive Modeling, Verification And Validation, Feature Engineering, Statistical Methods, Data Transformation
In summary, here are 10 of our most popular machine+learning+techniques courses
- Advanced Learning Algorithms: DeepLearning.AI
- Introduction to Machine Learning: Duke University
- Deep Learning and Reinforcement Learning: IBM
- Data for Machine Learning: Alberta Machine Intelligence Institute
- Machine Learning for Accounting with Python: University of Illinois Urbana-Champaign
- Machine Learning Foundations: A Case Study Approach: University of Washington
- Advanced Deep Learning Techniques for Computer Vision: MathWorks
- Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls: SAS
- Machine Learning Rock Star – the End-to-End Practice: SAS
- Introduction to Machine Learning with Python: Arizona State University