Machine Learning Andrew Ng Courses
Machine Learning courses by Andrew Ng focus on key concepts like supervised and unsupervised learning, neural networks, and decision trees. You’ll learn how to implement algorithms, evaluate models, and apply techniques using tools like Python and TensorFlow. These courses are designed to give you a solid foundation in how machines learn from data.
Popular Machine Learning Andrew Ng Courses and Certifications
University of Michigan
Skills you'll gain: Database Design, Data Processing, Debugging, Web Scraping, File I/O, Data Visualization, Relational Databases, Restful API, Web Services, SQL, Databases, Data Visualization Software, JSON, Data Presentation, Extensible Markup Language (XML), Data Structures, Data Cleansing, Programming Principles, Python Programming, Program Development
Skills you'll gain: Unsupervised Learning, Generative AI, Supervised Learning, Deep Learning, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Reinforcement Learning, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Model Evaluation, Dimensionality Reduction, Model Optimization
DeepLearning.AI
Skills you'll gain: Prompt Engineering, LLM Application, Artificial Intelligence, Jupyter, Python Programming, Data Analysis, Generative AI Agents, AI Integrations, Application Development, Scripting, Programming Principles, Automation, Computer Programming, Application Programming Interface (API), Data Structures
Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Transfer Learning, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Model Evaluation, Classification Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
EDHEC Business School
Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Data Visualization, Portfolio Risk, Applied Machine Learning, Asset Management, Network Analysis, Investments, Machine Learning Methods, Financial Data, Market Data, Predictive Modeling, Web Scraping, Machine Learning, Financial Market, Financial Analysis, Financial Modeling, Risk Analysis, Risk Management
Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Transfer Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Generative Model Architectures, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Model Evaluation, Regression Analysis
Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Autoencoders, Model Training, Regression Analysis, Machine Learning
New York Institute of Finance
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Machine Learning Methods, Applied Machine Learning, Machine Learning, Securities Trading, Model Training, Python Programming, Model Evaluation
Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Regression Analysis, Predictive Modeling, Data Science, Model Training, Transfer Learning, Databricks, Machine Learning, Tensorflow, Model Deployment, Model Evaluation
Stanford Online
Skills you'll gain: Machine Learning Methods, Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Artificial Neural Networks, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Deep Learning, Health Policy, Artificial Intelligence
Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Store, Databricks, Cloud Management, Cloud Computing, Applied Machine Learning, Model Deployment, Data Pipelines, Model Training, Data Preprocessing, Model Optimization, Responsible AI, Machine Learning, Information Privacy, Data Security
Skills you'll gain: Model Deployment, Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Cloud Deployment, Data Pipelines, AI Workflows, CI/CD, Continuous Monitoring, Identity and Access Management, Data Storage
How to choose the right Machine Learning Andrew Ng course
Start with what you want to do with machine learning. If you want to apply it to predictive analytics, choose courses focusing on regression, classification, and model evaluation techniques. If you're interested in deep learning applications, look for courses covering neural networks, convolutional networks, and recurrent networks.
