
National Taiwan University
Skills you'll gain: Feature Engineering, Machine Learning Methods, Autoencoders, Machine Learning Algorithms, Statistical Machine Learning, Supervised Learning, Model Optimization, Applied Machine Learning, Deep Learning, Machine Learning, Model Training, Random Forest Algorithm, Decision Tree Learning, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Dimensionality Reduction, Embeddings, Logistic Regression
★ 4.9 (35) · Intermediate · Course · 3 - 6 Months

Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Applied Machine Learning, Predictive Modeling, Classification Algorithms, Predictive Analytics, Model Optimization, Tensorflow, Machine Learning, Model Training, Supervised Learning, Deep Learning, Regression Analysis, Model Evaluation, Statistical Methods, Data Preprocessing, Artificial Neural Networks, Data Processing, Probability & Statistics
★ 4.4 (1.9K) · Intermediate · Course · 1 - 3 Months

University of Glasgow
Skills you'll gain: Model Training, Model Evaluation, Data Preprocessing, Machine Learning Methods, Statistical Methods, Statistical Machine Learning, Data Validation, Data Quality, Mathematical Software, Classification Algorithms, Machine Learning Algorithms
★ 5 (47) · Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Data Mining, Predictive Modeling, Model Evaluation, Regression Analysis, Decision Tree Learning, Statistical Methods, Project Planning, Logistic Regression
★ 5 (7) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Machine Learning Algorithms, Data Processing, Model Training, Model Optimization, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Machine Learning Software, Data Integration, Data Transformation, Classification Algorithms, Dimensionality Reduction
★ 3.7 (12) · Intermediate · Course · 1 - 4 Weeks

University of London
Skills you'll gain: Combinatorics, Probability & Statistics, Data Analysis, Advanced Mathematics, Linear Algebra, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Geometry, Applied Mathematics, Statistics, Statistical Analysis, Statistical Methods, Probability, Algorithms, Algebra, Descriptive Statistics
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Geometry, Applied Mathematics, Algebra
★ 4.9 (48) · Intermediate · Course · 1 - 4 Weeks

Dartmouth College
Skills you'll gain: Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Convolutional Neural Networks, Deep Learning, Tensorflow, Model Training, Model Optimization, Machine Learning, Applied Machine Learning, Bayesian Statistics, Machine Learning Algorithms, Model Evaluation, Network Model, Network Architecture, Algorithms, Probability Distribution
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Machine Learning Methods, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Model Optimization, Logistic Regression, Classification Algorithms
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Generative Model Architectures, Unsupervised Learning, Responsible AI, Data Ethics, Markov Model
★ 4 (7) · Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Probability, Applied Mathematics, Advanced Mathematics, Estimation, Probability & Statistics, Geometry, Mathematical Modeling, Graphing
★ 4.7 (54) · Intermediate · Course · 1 - 4 Weeks