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Coursera Presents a New Sequence of Machine Studying Programs from Andrew Ng–an Up to date Model of the Widespread Course Taken by 5 Million College students


Again in 2017, Coursera co-founder and former Stanford laptop science professor Andrew Ng launched a five-part collection of programs on “Deep Studying” on the edtech platform, a collection meant to “enable you grasp Deep Studying, apply it successfully, and construct a profession in AI.” These programs prolonged his preliminary Machine Studying course, which has attracted virtually 5 million college students since 2012, in an effort, he stated, to construct “a brand new AI-powered society.”

Ng’s objectives are formidable, to “train thousands and thousands of individuals to make use of these AI instruments to allow them to go and invent the issues that no massive firm, or firm I might construct, might do.” His new Machine Studying Specialization at Coursera takes him a number of steps additional in that course with an “up to date model of [his] pioneering Machine Studying course,” notes Coursera’s description, offering “a broad introduction to fashionable machine studying.” The specialization‘s three programs embody 1) Supervised Machine Studying: Regression and Classification, 2) Superior Studying Algorithms, and three) Unsupervised Studying, Recommenders, Reinforcement Studying. Collectively, the programs within the specialization will train you to:

  • Construct machine studying fashions in Python utilizing in style machine studying libraries NumPy and scikit-learn.
  • Construct and prepare supervised machine studying fashions for prediction and binary classification duties, together with linear regression and logistic regression.
  • Construct and prepare a neural community with TensorFlow to carry out multi-class classification.
  • Apply greatest practices for machine studying improvement in order that your fashions generalize to information and duties in the true world.
  • Construct and use choice bushes and tree ensemble strategies, together with random forests and boosted bushes.
  • Use unsupervised studying strategies for unsupervised studying: together with clustering and anomaly detection.
  • Construct recommender techniques with a collaborative filtering method and a content-based deep studying methodology.
  • Construct a deep reinforcement studying mannequin.

The abilities college students study in Ng’s specialization will deliver them nearer to careers in large information, machine studying, and AI engineering. Enroll in Ng’s Specialization right here free for 7 days and discover the supplies in all three programs. In case you’re satisfied the specialization is for you, you’ll pay $49 per thirty days till you full the three-course specialization, and also you’ll earn a certificates upon completion of a hands-on mission utilizing your entire new machine studying expertise. You’ll be able to join the Machine Studying Specialization right here.

Notice: Open Tradition has a partnership with Coursera. If readers enroll in sure Coursera programs and packages, it helps assist Open Tradition.

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Josh Jones is a author and musician primarily based in Durham, NC. Comply with him at @jdmagness



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