Coursera introduces a new series of machine learning courses from Andrew Ng – an updated version of the popular course taken by 5 million students


In 2017, Coursera co-founder and former Stanford computer science professor Andrew Ng launched a five-part “Deep Learning” course series on the edtech platform, a series intended to “help you to master deep learning, apply it effectively, and build a career in AI.These courses extended its initial machine learning course, which attracted nearly 5 million students since 2012, with the aim, he says, to build “a new society powered by AI”.

Ng’s goals are ambitious, “to teach millions of people how to use these AI tools so they can go and invent things that no big company, or company I could build, could do.” His new machine learning specialization at Coursera takes him several steps further in that direction with an “updated version of [his] pioneering machine learning course,” notes Coursera’s description, providing “a broad introduction to modern machine learning.” The three courses in the specialization include 1) Supervised Machine Learning: Regression and Classification, 2) Advanced Learning Algorithms, and 3) Unsupervised Learning, Recommendations, Reinforcement Learning. Collectively, the specialization courses will teach you to:

  • Build machine learning models in Python using the popular machine learning libraries NumPy and scikit-learn.
  • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression.
  • Build and train a neural network with TensorFlow to perform multiclass classification.
  • Apply best practices for machine learning development so your models generalize to real-world data and tasks.
  • Create and use decision trees and tree ensemble methods, including random forests and boosted trees.
  • Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection.
  • Build recommender systems with a collaborative filtering approach and a content-based deep learning method.
  • Build a deep reinforcement learning model.

The skills students acquire in Ng’s specialization will bring them closer to careers in big data, machine learning, and AI engineering. Sign up for the Ng specialization here for free for 7 days and explore the material for all three courses. If you’re convinced the specialization is for you, you’ll pay $49 per month until you complete the three-course specialization, and you’ll earn a certificate upon completion of a hands-on project using all your new skills in machine learning. . You can register for the Machine Learning specialization here.

To note: Open Culture has a partnership with Coursera. If readers enroll in certain Coursera courses and programs, it helps support open culture.

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Josh Jones is a writer and musician based in Durham, NC. Follow him on @jdmagness


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