Machine Learning Specialization | AI, Machine Learning Fundamentals

Andrew Ng

Foundational online program on machine learning and AI applications, taught by Andrew Ng of DeepLearning.AI and Stanford Online.

Video CoursesData ScienceDeep LearningMachine Learning

Introduction

The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.

Highlights

  • Taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI
  • Updated version of Andrew's pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012
  • Covers supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and best practices for AI and machine learning innovation

Recommendation

If you're looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.

How GetVM Works

Learn by Doing from Your Browser Sidebar

Access from Browser Sidebar

Access from Browser Sidebar

Simply install the browser extension and click to launch GetVM directly from your sidebar.

Select Your Playground

Select Your Playground

Choose your OS, IDE, or app from our playground library and launch it instantly.

Learn and Practice Side-by-Side

Learn and Practice Side-by-Side

Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.

Explore Similar Hands-on Tutorials

Getting Started with Artificial Intelligence , 2nd Edition 25
Technical TutorialsData ScienceMachine Learning
Comprehensive introduction to AI, covering machine learning and data science. Practical guide to building enterprise applications with real-world examples.
Machine Learning For Dummies, IBM Limited Edition 19
Technical TutorialsData ScienceMachine Learning
Comprehensive guide to machine learning and data science, suitable for beginners and experienced professionals. Authored by experts Daniel Kirsch and Judith Hurwitz.
A Programmers Guide to Data Mining 14
Technical TutorialsData SciencePython
Comprehensive guide to data mining techniques, including recommendation systems, classification, and clustering. Beginner-friendly introduction for programmers with hands-on exercises and Python code.
Data Mining Concepts and Techniques 25
Technical TutorialsData ScienceMachine Learning
Comprehensive coverage of data mining concepts and techniques, including data preprocessing, classification, clustering, and association rule mining. Essential resource for students, researchers, and professionals in data mining, machine learning, and data analysis.
Foundations of Data Science 5
Technical TutorialsComputer ScienceData Science
Dive into the core principles and techniques of data science with this comprehensive course by renowned experts. Gain a strong foundation in algorithms, machine learning, and more.
Fundamentals of Data Visualization 4
Technical TutorialsData AnalysisData ScienceData Visualization
Comprehensive guide to understanding the principles and techniques of data visualization, covering design, perception, and communication of visual data. Practical insights and tools for creating effective visualizations.
Hands-On Data Visualization 9
Technical TutorialsData ScienceJavaScript
Comprehensive guide to data visualization techniques and best practices. Learn to design interactive charts and customized maps for your website using free and easy-to-learn tools.
High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications 10
Technical TutorialsComputer ScienceData ScienceMathematics
Comprehensive exploration of high-dimensional data analysis, covering real-world applications in medical imaging, computer vision, and more. Valuable resource for researchers and practitioners.
Mining of Massive Datasets 28
Technical TutorialsData Science
Comprehensive guide to data mining, machine learning, and analysis of massive datasets, including techniques for similarity search, data-stream processing, and graph analysis.