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Multiple educators
New AI skills

Machine Learning Specialization

Taught by AI pioneer Andrew Ng and Stanford Online, this foundational program breaks down modern Machine Learning algorithms, neural networks, and decision trees from first principles.

Instructor: Andrew Ng, Stanford & DeepLearning.AI

1,200,000 already enrolled

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3 course series
Earn a career credential that demonstrates your expertise
4.9 тШЕ
from 245,000 reviews of courses in this program
Beginner
Recommended experience
Flexible schedule
Flexible schedule ┬╖ 3 months at 10 hours a week
What you'll learn

Build ML models in Python using NumPy and scikit-learn

Train supervised models for prediction and binary/multiclass classification (linear & logistic regression)

Build and train neural networks with TensorFlow for multi-class classification and computer vision

Implement unsupervised learning including clustering and anomaly detection algorithms

Skills you'll gain
Supervised Learning
Neural Networks
TensorFlow
scikit-learn
Decision Trees
Tools you'll learn
Python
TensorFlow
NumPy
scikit-learn
Jupyter
Learning Assistant
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