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Results for "ml algorithms"
DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
Stanford University
Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science, Computer Science
Skills you'll gain: Unsupervised Learning, Deep Learning, Anomaly Detection, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Data Import/Export, Artificial Neural Networks, Data Modeling, Data Manipulation, Statistical Modeling
Stanford University
Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Mathematical Theory & Analysis, Analysis, Probability, Design Strategies
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
New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Reinforcement Learning, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Statistical Modeling, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Finance
University of Washington
Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Methods, Dimensionality Reduction, Python Programming, Data Validation
University of Washington
Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Supervised Learning, Predictive Modeling, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Machine Learning, Natural Language Processing, Real Time Data, Probability & Statistics, Algorithms
University of Washington
Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Text Mining, Machine Learning Algorithms, Big Data, Statistical Inference, Dimensionality Reduction
University of Colorado Boulder
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Statistical Machine Learning, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Statistical Visualization, Python Programming, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Statistical Modeling, Feature Engineering, Performance Tuning
- Status: Free
EIT Digital
Skills you'll gain: Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, File Systems, Data Access, Performance Tuning, Analysis
Codio
Skills you'll gain: Algorithms, C++ (Programming Language), Data Structures, Computer Programming, Computational Thinking, Technical Design
In summary, here are 10 of our most popular ml algorithms courses
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning:Â DeepLearning.AI
- Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming:Â Stanford University
- Practical Machine Learning on H2O:Â H2O.ai
- Divide and Conquer, Sorting and Searching, and Randomized Algorithms:Â Stanford University
- Machine Learning Foundations: A Case Study Approach:Â University of Washington
- Machine Learning and Reinforcement Learning in Finance:Â New York University
- Machine Learning: Regression:Â University of Washington
- Machine Learning: Classification:Â University of Washington
- Machine Learning:Â University of Washington
- Introduction to Machine Learning: Supervised Learning:Â University of Colorado Boulder