Laptop Scientist Andrew Ng Presents a New Collection of Machine Studying Programs--an Up to date Model of the Well-liked 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 “provide help to 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 mentioned, to construct “a brand new AI-powered society.”

Ng’s targets are bold, to “educate hundreds of thousands of individuals to make use of these AI instruments to allow them to go and invent the issues that no giant firm, or firm I may construct, may 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 trendy 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 educate you to:

  • Construct machine studying fashions in Python utilizing in style machine studying libraries NumPy and scikit-learn.
  • Construct and practice supervised machine studying fashions for prediction and binary classification duties, together with linear regression and logistic regression.
  • Construct and practice a neural community with TensorFlow to carry out multi-class classification.
  • Apply greatest practices for machine studying growth in order that your fashions generalize to knowledge 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 methods for unsupervised studying: together with clustering and anomaly detection.
  • Construct recommender methods with a collaborative filtering strategy and a content-based deep studying methodology.
  • Construct a deep reinforcement studying mannequin.

The talents college students be taught in Ng’s specialization will carry them nearer to careers in massive knowledge, machine studying, and AI engineering. Enroll in Ng’s Specialization right here free for 7 days and discover the supplies in all three programs. For those who’re satisfied the specialization is for you, you’ll pay $49 per 30 days till you full the three-course specialization, and also you’ll earn a certificates upon completion of a hands-on undertaking utilizing your whole new machine studying abilities. You possibly can join the Machine Studying Specialization right here.

Word: 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 based mostly in Durham, NC. Comply with him at @jdmagness

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