Podcasts about stanford computer science

Shravan Goli has been the Chief Product Officer and Head of Consumer Revenue at Coursera since 2018. Shravan came to Coursera with over 20 years of experience of building products and leading companies. He has built products at Microsoft and Yahoo, been the CEO of Dictionary.com, and was most recently President of tech job marketplace Dice (part of public company DHI Group Inc).Coursera was launched in 2012 by two Stanford Computer Science professors, Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with over 100 million registered learners globally.Coursera partners with over 275 of the world's top universities (Yale, University of London, Penn) and industry educators (Google, Meta, IBM) to offer courses, Specializations, projects, certificates, and degrees. Over 7,000 businesses, government entities, and campuses have used Coursera's enterprise offering to provide job-relevant online education to their employees, citizens, and students.Recommended ResourcesA New U: Faster + Cheaper Alternatives to College by Ryan Craig

#19 Entering the Uber Hackathon and Insights From A Stanford Comp Sci GraduateSummary:In this episode, Stanford Computer Science graduate (and soon-to-be Masters Graduate!), Harry, shares everything you need to know about competing in the Uber Hackathon (https://www.uberglobalhackathon.org/) and gives us an insight into his undergraduate and Masters degree at Stanford.The Uber Global Hackathon is the premier global hackathon for students ages 13 to 18. Through a series of regional and global rounds, students come together in teams to solve a problem and build the next BIG idea. Head to the link to register now!

What initially launched in 2012 by two Stanford Computer Science professors, has now become one of the largest online learning platforms in the world. In collaboration with over 200 leading university and industry partners, Coursera is now one of the largest online learning platforms in the world, with 82 million registered learners as of March 31, 2021. --- Send in a voice message: https://anchor.fm/dubai-works/message

What initially launched in 2012 by two Stanford Computer Science professors, has now become one of the largest online learning platforms in the world. In collaboration with over 200 leading university and industry partners, Coursera is now one of the largest online learning platforms in the world, with 82 million registered learners as of March 31, 2021. --- Send in a voice message: https://anchor.fm/dubai-works/message

Lee is an American-Israeli who served as a medic in the IDF before beginning her studies at Stanford (Computer Science and Philosophy). She has been involved with the instruction of some of Stanford’s most popular CS courses as a Section Leader, was a product manager for Intuit and a software engineer for Project C in Hong Kong. Lee has also served as a Humanitarian Fellow with the NGO IsraAID, aiding their mission to improve the lives of asylum seekers in Lesbos, Greece.

Sherjan here, your host of My Personal Mentor podcast, bringing you unfiltered and candid advice related to careers, startups, and life. This is another one of our Story Time episodes where I want to take the listeners on a journey through someone else's life. Someone just like yourself, doing amazing things, one step at a time. In today's episode we have Gabriel Bianconi, one of the smartest and brightest talents I've ever met. Gabriel is the founder of Scalar Research, and prior to this he has worked at Google and Facebook. Gabriel specializes in the world of computer vision, machine learning, and artificial intelligence and helps companies solve large problems using some of his research. Gabriel's story begins in Brazil and I am so proud of all that he has accomplished so far and so much more to come. Listen in and let me know your thoughts on twitter. To get more content and weekly updates, check out my website www.sherjan.com or join my facebook group at: facebook.com/groups/sherjan. Online courses available at sherjan.teachable.com or just tweet @sherjan.

Computer Science is one of the most popular majors at Stanford. What kind of culture does it produce? Do we love it or hate it? Managing Editors: Chloe Barreau, Leily Rezvani Producers: Lyndsey Kong, Emma Bowers Music: Jerome Please Come Back by N Dropkick - 3 Elephants on Parade by Podington Bear Techno Loop by Satanen German

Vivian Shen and Ruby Lee want to teach kids how to program one-on-one over the internet. Vivian and Ruby are Cofounders of Juni Learning, their new educational startup that provides programming lessons to kids like how others provide private piano lessons. Although they both studied computer science at Stanford, they got to computer science at an older age than the kids they are now serving. They talk about why they started Juni Learning and the benefits and challenges of teaching CS live online. Related to this episode: • Juni Learning: https://junilearning.com/ • Email Juni Learning: hello@learnwithjuni.com • Stanford Computer Science: https://cs.stanford.edu/ • Kleiner Perkins, or KPCB: http://www.kpcb.com/ • Python: https://www.python.org/ • Scratch: https://scratch.mit.edu/ • AP Computer Science: https://apstudent.collegeboard.org/apcourse/ap-computer-science-a • Neopets: http://www.neopets.com/ • w3schools: https://www.w3schools.com/ • bioinformatics: https://en.wikipedia.org/wiki/Bioinformatics • Coterm program at Stanford: https://undergrad.stanford.edu/advising/coterm • “The Socratic Method: What it is and How to Use it in the Classroom”: http://cgi.stanford.edu/~dept-ctl/tomprof/posting.php?ID=810 • USA Computing Olympiad: http://www.usaco.org/ • Stranger Things on Netflix: https://www.netflix.com/title/80057281 • Hour of Code: https://hourofcode.com/us • Pair programming: https://www.agilealliance.org/glossary/pairing/ • Code.org: https://code.org/ • Code Academy: https://www.codecademy.com/ • Computer Programming at Khan Academy: https://www.khanacademy.org/computing/computer-programming Our closing music is “Yes And” by Steve Combs, used under a Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ Subscribe and find more podcast information at: http://www.k12engineering.net. Support Pios Labs with regular donations on Patreon: https://www.patreon.com/pioslabs, or send one-time contributions by buying us coffee: https://ko-fi.com/pioslabs. Thanks to our donors and listeners for making the show possible. The K12 Engineering Education Podcast is a production of Pios Labs: http://www.pioslabs.com.

Marissa Mayer talks with Josh Tyrangiel about her childhood in Wisconsin, her experience as one of the few women in the Stanford Computer Science department at Princeton to the early days of Google. It was recorded in March 27, 2012, months before she became CEO of Yahoo.

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng continues his lecture on learning theory by discussing VC dimension and model selection.

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on Bayesian statistics, regularization, digression-online learning, and the applications of machine learning algorithms.

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department.

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on Newton's method, exponential families, and generalized linear models and how they relate to machine learning.

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on generative learning algorithms and Gaussian discriminative analysis and their applications in machine learning.

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng discusses the applications of naive Bayes, neural networks, and support vector machine.

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on optimal margin classifiers, KKT conditions, and SUM duals.

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng continues his lecture about support vector machines, including soft margin optimization and kernels.

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng delves into learning theory, covering bias, variance, empirical risk minimization, union bound and Hoeffding's inequalities.

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng discusses POMDPs, policy search, and Pegasus in the context of reinforcement learning.

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on the debugging process, linear quadratic regulation, Kalmer filters, and linear quadratic Gaussian.

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng discusses state action rewards and linear dynamical systems in the context of linear quadratic regulation.

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng discusses the topic of reinforcement learning, focusing particularly on continuous state MDPs and discretization.

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng discusses the topic of reinforcement learning, focusing particularly on MDPs, value functions, and policy and value iteration.

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng provides an overview of the course in this introductory meeting.

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng continues his discussion on factor analysis and expectation-maximization steps.

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng delves into locally weighted regression, probabilistic interpretation and logistic regression and how it relates to machine learning.

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng discusses unsupervised learning in the context of clustering, Jensen's inequality, mixture of Gaussians, and expectation-maximization.

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on principal component analysis (PCA) and independent component analysis (ICA) in relation to unsupervised machine learning.

In this panel, current Stanford Computer Science faculty will discuss the future of their field, telling us what major accomplishments we can expect during the next 10 years.