Machine Learning Specialization
Break into AI with the legendary Machine Learning Specialization created by Andrew Ng. Master foundational ML concepts and apply practical machine learning techniques.
Earn a career credential that demonstrates your expertise
from 39K reviews of courses in this program
Recommended experience
3 weeks at 10 hours a week
Learn at your own pace
What you'll learn
Build ML models in Python using NumPy and scikit-learn for supervised and unsupervised learning
Build and train neural networks with TensorFlow to perform multi-class classification and deep learning tasks
Apply best practices for ML development, feature engineering, decision trees, random forests, and recommender systems
Skills you'll gain
Tools you'll learn
Courses in this Specialization
This program contains 3 courses that prepare you for verified mastery.
Supervised Machine Learning: Regression and Classification
Learn how to build supervised machine learning models with Python, NumPy, and scikit-learn.
Instructor
Andrew Ng
Founder of DeepLearning.AI, Co-founder of Coursera, Adjunct Professor at Stanford
Andrew Ng is an AI pioneer who has taught machine learning to over 7 million people worldwide. He leads DeepLearning.AI and AI Fund.