Computer Scientist Andrew Ng Presents a New Series of Machine Learning Courses–an Updated Version of the Popular Course Taken by 5 Million Students

Back in 2017, Cours­era co-founder and for­mer Stan­ford com­put­er sci­ence pro­fes­sor Andrew Ng launched a five-part series of cours­es on “Deep Learn­ing” on the edtech plat­form, a series meant to “help you mas­ter Deep Learn­ing, apply it effec­tive­ly, and build a career in AI.” These cours­es extend­ed his ini­tial Machine Learn­ing course, which has attract­ed almost 5 mil­lion stu­dents since 2012, in an effort, he said, to build “a new AI-pow­ered soci­ety.”

Ng’s goals are ambi­tious, to “teach mil­lions of peo­ple to use these AI tools so they can go and invent the things that no large 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 spe­cial­iza­tion’s three cours­es include 1) Super­vised Machine Learn­ing: Regres­sion and Clas­si­fi­ca­tion, 2) Advanced Learn­ing Algo­rithms, and 3) Unsu­per­vised Learn­ing, Rec­om­menders, Rein­force­ment Learn­ing. Col­lec­tive­ly, the cours­es in the spe­cial­iza­tion will teach you to:

  • Build machine learn­ing mod­els in Python using 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 mul­ti-class clas­si­fi­ca­tion.
  • Apply best prac­tices for machine learn­ing devel­op­ment so that your mod­els gen­er­al­ize to data and tasks in the real world.
  • Build 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 learn in Ng’s spe­cial­iza­tion will bring them clos­er to careers in big data, machine learn­ing, and AI engi­neer­ing. Enroll in Ng’s Spe­cial­iza­tion here free for 7 days and explore the mate­ri­als in 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 of your new machine learn­ing skills. You can sign up for the Machine Learn­ing Spe­cial­iza­tion here.

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

Relat­ed Con­tent:

New Deep Learn­ing Cours­es Released on Cours­era, with Hope of Teach­ing Mil­lions the Basics of Arti­fi­cial Intel­li­gence

Cours­era Makes Cours­es & Cer­tifi­cates Free Dur­ing Coro­n­avirus Quar­an­tine: Take Cours­es in Psy­chol­o­gy, Music, Well­ness, Pro­fes­sion­al Devel­op­ment & More Online

Google & Cours­era Launch Career Cer­tifi­cates That Pre­pare Stu­dents for Jobs in 6 Months: Data Ana­lyt­ics, Project Man­age­ment and UX Design

Google Unveils a Dig­i­tal Mar­ket­ing & E‑Commerce Cer­tifi­cate: 7 Cours­es Will Help Pre­pare Stu­dents for an Entry-Lev­el Job in 6 Months       

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

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