ML Specialization

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Specialization in Machine Learning at BreakIntoAI. Master the fundamental AI concepts and cultivate practical machine learning skills in the beginner-friendly, three-course program by AI visionary Andrew Ng.

Key AI Functions:Logistic Regression, Artificial Neural Network, Linear Regression, Decision Trees, Recommender Systems

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Description for ML Specialization

Construct and train supervised models for binary classification and prediction tasks (linear, logistic regression) using NumPy and scikit-learn.

Construct and train a neural network using TensorFlow to perform multi-class classification, and construct and employ decision trees and tree ensemble methods.

Make use of unsupervised learning techniques, such as clustering and anomaly detection, and adhere to best practices for ML development.

Develop a deep reinforcement learning model and construct recommender systems using a content-based deep learning method and a collaborative filtering approach.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by DeepLearning.AI

Duration: 2 months at 10 hours a week

Schedule: Flexible

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