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DeepLearning.AI

Machine Learning

DeepLearning.AI and Stanford University via Coursera Specialization

Overview

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. This Specialization is 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 to advance the AI field. This 3-course Specialization is an 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. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. 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.

Syllabus

Course 1: Supervised Machine Learning: Regression and Classification
- In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine ... Enroll for free.

Course 2: Advanced Learning Algorithms
- In the second course of the Machine Learning Specialization, you will: • Build and train a neural network with TensorFlow to perform ... Enroll for free.

Course 3: Unsupervised Learning, Recommenders, Reinforcement Learning
- In the third course of the Machine Learning Specialization, you will: • Use unsupervised learning techniques for unsupervised learning: ... Enroll for free.

Courses

Taught by

Aarti Bagul, Andrew Ng, Eddy Shyu and Geoff Ladwig

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