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Results for "regularization+methods"
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
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)
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
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
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, A/B Testing, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Machine Learning, Jupyter, Python Programming, Data Transformation, Data Manipulation, Data Science
Imperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming
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
Skills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Data Quality, Applied Machine Learning, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Data Strategy, Scikit Learn (Machine Learning Library), Business Metrics, Dataflow, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Performance Tuning, Artificial Neural Networks, Data Pipelines, Deep Learning
Johns Hopkins University
Skills you'll gain: Anatomy, Radiology, Experimentation, Research Design, Psychology, Image Analysis, Science and Research, Scientific Methods, Medical Science and Research, General Medical Tests and Procedures, Medical Terminology, Quantitative Research
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Data Science, Exploratory Data Analysis, Data Analysis, Statistical Visualization
DeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Network Model, Network Architecture, Machine Learning
Coursera Project Network
Skills you'll gain: Data Cleansing, Data Processing, Pandas (Python Package), Applied Machine Learning, Data Analysis, Data Import/Export, Classification And Regression Tree (CART), Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Machine Learning, Supervised Learning
In summary, here are 10 of our most popular regularization+methods courses
- Supervised Machine Learning: Regression and Classification : DeepLearning.AI
- The Finite Element Method for Problems in Physics: University of Michigan
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
- Mathematics for Machine Learning: Imperial College London
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
- Supervised Machine Learning: Regression: IBM
- Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
- Fundamental Neuroscience for Neuroimaging: Johns Hopkins University
- Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI