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 “train tens of millions 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 path 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 embrace 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 widespread 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 finest practices for machine studying growth in order that your fashions generalize to knowledge and duties in the actual world.
- Construct and use determination 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 programs with a collaborative filtering strategy and a content-based deep studying methodology.
- Construct a deep reinforcement studying mannequin.
The talents college students study in Ng’s specialization will deliver them nearer to careers in large 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 venture utilizing your whole new machine studying expertise. You’ll be able to join the Machine Studying Specialization right here.
Observe: Open Tradition has a partnership with Coursera. If readers enroll in sure Coursera programs and applications, it helps assist Open Tradition.
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