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2015-11-05
What makes muscles grow? - Jeffrey Siegel
source: TED-Ed 2015年11月3日
View full lesson: https://ed.ted.com/lessons/what-makes...
We have over 600 muscles in our bodies that help bind us together, hold us up, and help us move. Your muscles also need your constant attention, because the way you treat them on a daily basis determines whether they will wither or grow. Jeffrey Siegel illustrates how a good mix of sleep, nutrition and exercise keep your muscles as big and strong as possible.
Lesson by Jeffrey Siegel, animation by Brett Underhill.
Deep Neural Networks: A New Framework for Modeling Brain Information Processing
source: Stanford 2015年10月25日
Nikolaus Kriegeskorte, Programme Leader at the Medical Research Council's Cognition and Brain Sciences Unit in Cambridge, UK, describes a framework for testing such massively multivariate brain-activity data.
Seth M. Siegel: "Let There Be Water" | Authors at Google
source: Talks at Google 2015年10月30日
As every day brings urgent reports of growing water shortages around the world, there is no time to lose in the search for solutions.
The U.S. government predicts that forty of our fifty states-and 60 percent of the earth's land surface-will soon face alarming gaps between available water and the growing demand for it. Without action, food prices will rise, economic growth will slow, and political instability is likely to follow.
Let There Be Water illustrates how Israel can serve as a model for the United States and countries everywhere by showing how to blunt the worst of the coming water calamities. Even with 60 percent of its country made of desert, Israel has not only solved its water problem; it also had an abundance of water. Israel even supplies water to its neighbors-the Palestinians and the Kingdom of Jordan-every day.
Based on meticulous research and hundreds of interviews, Let There Be Water reveals the methods and techniques of the often offbeat inventors who enabled Israel to lead the world in cutting-edge water technology.
Let There Be Water also tells unknown stories of how cooperation on water systems can forge diplomatic ties and promote unity. Remarkably, not long ago, now-hostile Iran relied on Israel to manage its water systems, and access to Israel's water know-how helped to warm China's frosty relations with Israel.
Beautifully written, Let There Be Water is and inspiring account of the vision and sacrifice by a nation and people that have long made water security a top priority. Despite scant natural water resources, a rapidly growing population and economy, and often hostile neighbors, Israel has consistently jumped ahead of the water innovation-curve to assure a dynamic, vital future for itself. Every town, every country, and every reader can benefit from learning what Israel did to overcome daunting challenges and transform itself from a parched land into a water superpower.
Seth M. Siegel is a writer, activist, and serial entrepreneur. He is the author of the New York Times bestselling book Let There Be Water: Israel’s Solution For A Water-Starved World, published by St. Martin’s Press in September, 2015. Siegel’s essays on water and other policy issues have appeared in The New York Times, The Wall Street Journal, the Los Angeles Times, and in leading publications in Europe and Asia. Siegel is the co-founder of several companies, including Beanstalk, the world’s leading trademark brand extension company,. He is a member of the Council on Foreign Relations. Siegel is married and lives in New York City.
This Authors at Google talk was hosted by Boris Debic.
Frank Schaeffer: "Embracing Paradox" | Talks at Google
source: Talks at Google 2015年10月28日
Frank Schaeffer is a painter, speaker and New York Times bestselling author of both fiction and nonfiction.
Mr. Schaeffer visited Google's office in Chicago, IL to follow up on his talk in Cambridge and share ideas explored in his recent book, "Why I am an Atheist Who Believes in GOD: How to Give Love, Create Beauty and Find Peace". In the talk, Mr. Schaeffer shares examples of his artwork, available at www.frankschaefferart.com
"Why I am an Atheist Who Believes in GOD: How to Give Love, Create Beauty and Find Peace" is Mr. Schaeffer's latest set of observations on the human condition and our relation to spirituality, religion, art, and the universe. He was born into a family of prominent evangelicals, and helped found the Religious Right in the U.S. Rejecting that political point of view, he became a vocal enemy of the Tea Party. He has been a film director; a New York Times-bestselling author of fiction and nonfiction; a visual artist whose work has been shown, and collected, around the world; a frequent guest on The Rachel Maddow Show, with appearances on Oprah, The Today Show, Fresh Air, and BBC News; and an a highly sought-after lecturer, with appearances at Princeton and the Kennedy School of Government at Harvard.
Martin Ford on the Rise of the Robots
source: The RSA 2015年10月27日
Leading expert on AI and the robotics revolution Martin Ford offers both an exploration of this new technology and a call to arms to face its radical implications.
The world is being transformed by a profound technological revolution, dominated by digital – a second machine age.
Earlier this year the House of Lords select committee on digital skills reported that we have reached at a critical juncture – where dependent on the actions we take now, the new digital age could either make or break the UK.
Digital technology is changing all our lives, work, society and politics. Over the next two decades, some economists have estimated that 35% of current jobs in the UK could become automated.
It is clear that unless we radically reassess the fundamentals of how our economy and politics work, we risk a future of massive unemployment and inequality.
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Math 131A--Introduction to Probability and Statistics (Summer 2013)--Michael C. Cranston / UC Irvine
# automatic playing for the 17 videos (click the up-left corner for the list)
source: UCIrvineOCW 上次更新日期:2015年1月26日
UCI Math 131A: Introduction to Probability and Statistics (Summer 2013)
View the complete course: http://ocw.uci.edu/courses/math_131a_...
License: Creative Commons CC-BY-SA
Terms of Use: http://ocw.uci.edu/info
More courses at http://ocw.uci.edu
Description: UCI Math 131A is an introductory course covering basic principles of probability and statistical inference. Axiomatic definition of probability, random variables, probability distributions, expectation.
UC Irvine OpenCourseWare 0:22
Lecture 1. Probability 1:44:04
Lecture 2. Probability 1:12:42
Lecture 3. Random Variables 1:41:35
Lecture 4. Joint Distribution 1:39:13
Lecture 5. Expected Values 1:38:32
Lecture 6. Joint Distribution 1:39:56
Lecture 7. Limit Theorems 1:42:39
Lecture 8: Distributions from normal Distribution 1:32:55
Lecture 9. Conditional Probability 1:01:37
Lecture 10. Survey Sampling 1:35:35
Lecture 11. Estimation of Parameters 1:34:49
Lecture 12. Fitting of Probability Distributions 1:33:41
Lecture 13. Hypothesis Testing 1:42:14
Lecture 14. Random Sampling 1:37:15
Lecture 15. Simple Random Sampling 1:09:14
Lecture 16. Final Review 1:44:48
source: UCIrvineOCW 上次更新日期:2015年1月26日
UCI Math 131A: Introduction to Probability and Statistics (Summer 2013)
View the complete course: http://ocw.uci.edu/courses/math_131a_...
License: Creative Commons CC-BY-SA
Terms of Use: http://ocw.uci.edu/info
More courses at http://ocw.uci.edu
Description: UCI Math 131A is an introductory course covering basic principles of probability and statistical inference. Axiomatic definition of probability, random variables, probability distributions, expectation.
UC Irvine OpenCourseWare 0:22
Lecture 1. Probability 1:44:04
Lecture 2. Probability 1:12:42
Lecture 3. Random Variables 1:41:35
Lecture 4. Joint Distribution 1:39:13
Lecture 5. Expected Values 1:38:32
Lecture 6. Joint Distribution 1:39:56
Lecture 7. Limit Theorems 1:42:39
Lecture 8: Distributions from normal Distribution 1:32:55
Lecture 9. Conditional Probability 1:01:37
Lecture 10. Survey Sampling 1:35:35
Lecture 11. Estimation of Parameters 1:34:49
Lecture 12. Fitting of Probability Distributions 1:33:41
Lecture 13. Hypothesis Testing 1:42:14
Lecture 14. Random Sampling 1:37:15
Lecture 15. Simple Random Sampling 1:09:14
Lecture 16. Final Review 1:44:48
Math 131B--Introduction to Probability and Statistics (Summer 2013)--Michael C. Cranston / UC Irvine
# automatic playing for the 16 videos (click the up-left corner for the list)
source: UCIrvineOCW 上次更新日期:2015年1月26日
UCI Math 131B: Introduction to Probability and Statistics (Summer 2013)
View the complete course: http://ocw.uci.edu/courses/math_131b_...
License: Creative Commons CC-BY-SA
Terms of Use: http://ocw.uci.edu/info
More courses at http://ocw.uci.edu
Description: UCI Math 131B is an introductory course covering basic principles of probability and statistical inference. Point estimation, interval estimating, and testing hypotheses, Bayesian approaches to inference.
UC Irvine OpenCourseWare 0:22
Lecture 01. 1:44:39
Lecture 02. 1:34:01
Lecture 03. 1:37:19
Lecture 04. 1:39:28
Lecture 05. 1:41:11
Lecture 06. 1:31:32
Lecture 07. 1:29:05
Lecture 08. 1:15:21
Lecture 09. 1:40:59
Lecture 10. 1:41:36
Lecture 11. 1:32:37
Lecture 12. 1:32:02
Lecture 13. 1:38:45
Lecture 14. 1:39:25
Lecture 15. 1:37:54
source: UCIrvineOCW 上次更新日期:2015年1月26日
UCI Math 131B: Introduction to Probability and Statistics (Summer 2013)
View the complete course: http://ocw.uci.edu/courses/math_131b_...
License: Creative Commons CC-BY-SA
Terms of Use: http://ocw.uci.edu/info
More courses at http://ocw.uci.edu
Description: UCI Math 131B is an introductory course covering basic principles of probability and statistical inference. Point estimation, interval estimating, and testing hypotheses, Bayesian approaches to inference.
UC Irvine OpenCourseWare 0:22
Lecture 01. 1:44:39
Lecture 02. 1:34:01
Lecture 03. 1:37:19
Lecture 04. 1:39:28
Lecture 05. 1:41:11
Lecture 06. 1:31:32
Lecture 07. 1:29:05
Lecture 08. 1:15:21
Lecture 09. 1:40:59
Lecture 10. 1:41:36
Lecture 11. 1:32:37
Lecture 12. 1:32:02
Lecture 13. 1:38:45
Lecture 14. 1:39:25
Lecture 15. 1:37:54
Math of Finance (Fall 2014)--Donald Saari / UC Irvine
# automatic playing for the 16 videos (click the up-left corner for the list)
source: UCIrvineOCW 上次更新日期:2015年1月26日
UCI Math 176: Math of Finance (Fall 2014)
View the complete course: http://ocw.uci.edu/courses/math_176_m...
License: Creative Commons CC-BY-SA
Terms of Use: http://ocw.uci.edu/info
More courses at http://ocw.uci.edu
Description: UCI Math 176 covers the following topics: reviewing of tools from probability, statistics, and elementary differential and partial differential equations, concepts such as hedging, arbitrage, Puts, Calls, the design of portfolios, the derivation and solution of the Blac-Scholes, and other equations.
UC Irvine OpenCourseWare 0:22
Lecture 01. 1:14:16
Lecture 02 1:12:57
Lecture 03. 1:12:34
Lecture 04. 1:02:52
Lecture 05. 1:21:10
Lecture 06. 1:18:23
Lecture 07. 1:05:02
Lecture 08. 1:18:06
Lecture 09 1:18:27
Lecture 10. 1:01:56
Lecture 11. 1:09:46
Lecture 12. 1:08:17
Lecture 13 1:00:17
Lecture 14. 1:18:53
Lecture 15. 1:13:04
source: UCIrvineOCW 上次更新日期:2015年1月26日
UCI Math 176: Math of Finance (Fall 2014)
View the complete course: http://ocw.uci.edu/courses/math_176_m...
License: Creative Commons CC-BY-SA
Terms of Use: http://ocw.uci.edu/info
More courses at http://ocw.uci.edu
Description: UCI Math 176 covers the following topics: reviewing of tools from probability, statistics, and elementary differential and partial differential equations, concepts such as hedging, arbitrage, Puts, Calls, the design of portfolios, the derivation and solution of the Blac-Scholes, and other equations.
UC Irvine OpenCourseWare 0:22
Lecture 01. 1:14:16
Lecture 02 1:12:57
Lecture 03. 1:12:34
Lecture 04. 1:02:52
Lecture 05. 1:21:10
Lecture 06. 1:18:23
Lecture 07. 1:05:02
Lecture 08. 1:18:06
Lecture 09 1:18:27
Lecture 10. 1:01:56
Lecture 11. 1:09:46
Lecture 12. 1:08:17
Lecture 13 1:00:17
Lecture 14. 1:18:53
Lecture 15. 1:13:04
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