
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
Intermediate · Course · 3 - 6 Months

LearnQuest
Skills you'll gain: Data Preprocessing, Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Machine Learning Methods, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Model Optimization, Model Training, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Dimensionality Reduction, Complex Problem Solving
Intermediate · Course · 1 - 4 Weeks

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
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Statistical Hypothesis Testing, Data Science, R Programming, Statistical Programming, Statistical Analysis, Predictive Modeling, Predictive Analytics, Probability & Statistics, Correlation Analysis, Model Evaluation, Plot (Graphics)
Build toward a degree
Intermediate · Course · 1 - 3 Months

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Model Training, Algorithms, Pseudocode, Linear Algebra, Network Architecture, Probability Distribution
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Statistical Methods, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Predictive Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives
Advanced · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Model Optimization, Tensorflow, Model Training, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Verification And Validation, Debugging
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, Code Reusability, GitHub, Scientific Methods, Software Documentation, Science and Research, Technical Documentation, Informatics, Software Versioning, R (Software), Data Analysis, Programming Principles, R Programming, Git (Version Control System), Integrated Development Environments
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Optimization, Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Fine-tuning, Applied Machine Learning, Machine Learning, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Model Optimization, Model Training, Fine-tuning, Computer Vision, Deep Learning, Data Preprocessing, Jupyter
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Regression Analysis, Statistical Methods, Model Training, Data Visualization, Statistical Modeling, Plot (Graphics), Feature Engineering, Model Optimization, Predictive Modeling, Data Analysis, R Programming, Supervised Learning, Correlation Analysis, Probability & Statistics, Verification And Validation
Mixed · Course · 1 - 4 Weeks