Results for "機器學習基石上 (machine learning foundations)---mathematical foundations"
Status: NewStatus: Free TrialDartmouth College
Skills you'll gain: Supervised Learning, Bayesian Network, Artificial Neural Networks, Predictive Analytics, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference
Status: PreviewNational Taiwan University
Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Mathematical Modeling, Probability & Statistics, Regression Analysis, Algorithms
Status: FreeAmazon Web Services
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning
Status: FreeAmazon Web Services
Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Machine Learning, Applied Machine Learning, Predictive Modeling
Status: PreviewNational Taiwan University
Skills you'll gain: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Computational Logic, Supervised Learning, Computer Science, Decision Tree Learning, Unsupervised Learning, Algorithms
Status: NewStatus: Free TrialDartmouth College
Skills you'll gain: Supervised Learning, Predictive Modeling, Predictive Analytics, Statistical Modeling, Machine Learning, Machine Learning Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra
What brings you to Coursera today?
Status: NewStatus: Free TrialUniversity of Pittsburgh
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
Status: Free TrialDeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation
Status: Free TrialStatus: AI skillsUniversity 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, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms
Status: Free TrialMultiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming
Status: Free TrialJohns Hopkins University
Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Machine Learning Algorithms, Debugging, Artificial Intelligence, Applied Machine Learning, Image Analysis, Unsupervised Learning, Machine Learning, Machine Learning Methods, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Bayesian Statistics, Supervised Learning, Network Architecture, Markov Model
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Supervised Learning, Unsupervised Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing
In summary, here are 10 of our most popular 機器學習基石上 (machine learning foundations)---mathematical foundations courses
- Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
- 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
- Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
- Developing Machine Learning Solutions: Amazon Web Services
- 人工智慧：機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
- Machine Learning Fundamentals: Dartmouth College
- Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- Machine Learning: DeepLearning.AI
