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DeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Applied Machine Learning, Machine Learning, Supervised Learning, Machine Learning Algorithms, Network Architecture, Algorithms, Analysis, Debugging
University of Michigan
Skills you'll gain: Finite Element Methods, Engineering Analysis, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, C++ (Programming Language), Object Oriented Programming (OOP)
- Status: Free
Stanford University
Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution, Correlation Analysis
- Status: Free
Yale University
Skills you'll gain: Investment Banking, Risk Management, Financial Market, Financial Regulation, Financial Services, Finance, Business Risk Management, Securities (Finance), Financial Policy, Capital Markets, Behavioral Economics, Banking, Corporate Finance, Governance, Insurance, Underwriting, Equities, Derivatives, Mortgage Loans, Decision Making
Skills you'll gain: Supervised Learning, Applied Machine Learning, Regression Analysis, Machine Learning, Data Validation, Predictive Modeling, Statistical Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Jupyter, Pandas (Python Package), Performance Metric
Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Geometry, Machine Learning Methods, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Mathematical Modeling
- Status: Free
University of London
Skills you'll gain: Research, Peer Review, Research Reports, Research Methodologies, Writing, Research Design, Timelines, Data Collection, Ethical Standards And Conduct
Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Generative AI, Keras (Neural Network Library), Unsupervised Learning, Natural Language Processing, Jupyter, Reinforcement Learning, Deep Learning, Regression Analysis, Data Manipulation, Statistical Analysis, Tensorflow, Verification And Validation, Scikit Learn (Machine Learning Library), Python Programming, Artificial Neural Networks, Data Processing, Machine Learning Algorithms, Predictive Modeling
University of Toronto
Skills you'll gain: Bioinformatics, Life Sciences, Network Analysis, Science and Research, Statistical Analysis
Imperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming
DeepLearning.AI
Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling, Data-Driven Decision-Making, Algorithms
- Status: Free
Ludwig-Maximilians-Universität München (LMU)
Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Differential Equations, Applied Mathematics, NumPy, Mathematical Modeling, Computational Thinking, Python Programming, Calculus, Mechanics, Vibrations, Linear Algebra, Simulations
In summary, here are 10 of our most popular regularization methods courses
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization:Â DeepLearning.AI
- The Finite Element Method for Problems in Physics:Â University of Michigan
- Introduction to Statistics:Â Stanford University
- Financial Markets:Â Yale University
- Supervised Machine Learning: Regression:Â IBM
- Mathematics for Machine Learning:Â Imperial College London
- Understanding Research Methods:Â University of London
- IBM AI Engineering:Â IBM
- Bioinformatic Methods I:Â University of Toronto
- Mathematics for Machine Learning: Linear Algebra:Â Imperial College London