time and space complexity analysis
sort by: Relevancy | Title try advanced search for more options
-
-
Bayesian Statistics and Regularization, Online Learning, Advice for Applying Machine Learning Algorithms, Debugging/fixing Learning Algorithms, Diagnostics for Bias & Variance, Optimization Algorithm Diagnostics, Diagnostic Example - Autonomous Helicopter, Error Analysis, Getting Started on a Learning Problem
-
Verma explains how a hearty dose of paranoia will keep a company fresh. Companies often make the mistake of relaxing once success is achieved -- Verma knows this is the time competitors will strike.
-
The most prominent chemist in the generation following Lavoisier was Berzelius in Sweden. Together with Gay-Lussac in Paris and Davy in London, he discovered new elements, and improved atomic weights and combustion analysis for organic compounds. Invention of electrolysis led not only to new elements but also to the theory of dualism, with elements being held together by electrostatic attraction. Wöhler's report on the synthesis of urea re...more
-
We continue the idea (from last time) of playing a best response to what we believe others will do. More particularly, we develop the idea that you should not play a strategy that is not a best response for any belief about others' choices. We use this idea to analyze taking a penalty kick in soccer. Then we use it to analyze a profit-sharing partnership. Toward the end, we introduce a new notion: Nash Equilibrium.
-
Bias/variance Tradeoff, Empirical Risk Minimization (ERM), The Union Bound, Hoeffding Inequality, Uniform Convergence - The Case of Finite H, Sample Complexity Bound, Error Bound, Uniform Convergence Theorem & Corollary
-
Fundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types. Algorithms for sorting and searching. Introduction to the Java programming language.
-
Inspired by Charles Lindberg's Spirit of St. Louis, X PRIZE founder and space entrepreneur Peter Diamandis explains to interviewer George Zachary of Charles River Ventures that offering a high profile cash reward can often be more financially advantageous - and more aggressive in moving forward a societal push - than simply funding a good idea. Diamandis describes his incredible quest for funding, pitching hundreds of potential benefactors...more
-
Roizen talks about the importance of bootstrapping and maintaining control of the company in the early stages. Not only do entrepreneurs have to work for a living, they also have to make the money raised last for a longer time. When capital became easily available, Roizen notes that people stop making money the old fashion way: by working. If you make profit, you don't need other people to invest in your company, she says.
-
Britain in the Twentieth Century: The Economic Crisis and its Consequences
Gresham College / Political Science
Fears about the fiscal deficit and the possibility of a run on sterling caused MacDonald and Snowdon to take drastic action in the economic crisis of 1931. However, they could not win the support of the trade unions and the cabinet, so headed up a ‘National’ Government of Conservatives and Liberals. Labour was decimated in the elections of 1931 and 1935 – not returning to power until Churchill’s war-time coalition.
-
The exchanges in which stocks and other securities are traded serve an important function in finance. They bring together people interested in buying and selling securities in order to create a universal price. Brokers and dealers are also an important part of the system, their methods and standards are ultimately behind the success of the exchanges. Many information innovations have advanced the functioning of exchanges, going all the way...more
-
In the 1990s, Yale discovered that it was faced with a deferred maintenance problem: the university hadn't properly planned for important renovations in many buildings. A large, one-time expenditure would be needed. How should Yale have covered these expenses? This lecture begins by applying the lessons learned so far to show why Yale's initial forecast budget cuts were overly pessimistic. In the second half of the class, we turn to the pr...more
