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种子名称： MIT - Introduction to Computer Science and Programming (Python) ® vampiri6ka
文件类型： 视频
文件数目： 76个文件
文件大小： 11.88 GB
收录时间： 2017-6-28 10:14
已经下载： 3次
资源热度： 348
最近下载： 2024-6-7 12:06

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MIT - Introduction to Computer Science and Programming (Python) ® vampiri6ka.torrent

HQ/28-Quiz 2 Review Session.mkv479.28MB

LQ/28-Quiz 2 Review Session.mp4273.04MB

HQ/35-Lecture 24_ Avoiding Statistical Fallacies.mkv251.59MB

HQ/21-Lecture 15_ Statistical Thinking.mkv246.81MB

HQ/23-Lecture 16_ Using Randomness to Solve Non-random Problems.mkv238.54MB

HQ/37-Lecture 25_ Queuing Network Models.mkv233.38MB

HQ/27-Lecture 19_ More Optimization and Clustering.mkv228.96MB

HQ/08-Lecture 06_ Recursion.mkv228.31MB

HQ/01-Lecture 01_ Introduction to 6.00.mkv227.86MB

HQ/12-Lecture 08_ Efficiency and Order of Growth.mkv226.58MB

HQ/20-Lecture 14_ Sampling and Monte Carlo Simulation.mkv226.44MB

HQ/17-Lecture 12_ Introduction to Simulation and Random Walks.mkv219.99MB

HQ/13-Lecture 09_ Memory and Search Methods.mkv218.24MB

HQ/04-Lecture 03_ Problem Solving.mkv215.07MB

HQ/10-Lecture 07_ Debugging.mkv215.02MB

HQ/24-Lecture 17_ Curve Fitting.mkv214.04MB

HQ/26-Lecture 18_ Optimization Problems and Algorithms.mkv213.27MB

HQ/07-Lecture 05_ Objects in Python.mkv211.96MB

HQ/31-Lecture 21_ Using Graphs to Model Problems, Part 1.mkv211.57MB

HQ/29-Lecture 20_ More Clustering.mkv208.33MB

HQ/14-Lecture 10_ Hashing and Classes.mkv205.57MB

HQ/15-Lecture 11_ Object Oriented Programming (OOP) and Inheritance.mkv201.99MB

HQ/34-Lecture 23_ Dynamic Programming.mkv201.07MB

HQ/19-Lecture 13_ Some Basic Probability and Plotting Data.mkv200.41MB

HQ/32-Lecture 22_ Using Graphs to Model Problems, Part 2.mkv199.3MB

HQ/22-Recitation 06_ Probability and Statistics.mkv198.04MB

HQ/02-Lecture 02_ Core Elements of a Program.mkv196.82MB

HQ/05-Lecture 04_ Machine Interpretation of a Program.mkv196.61MB

HQ/38-Lecture 26_ What Do Computer Scientists Do_.mkv189.46MB

HQ/06-Recitation 02_ Loops, Tuples, Strings, and Functions.mkv176.46MB

HQ/33-Recitation 09_ Directed and Undirected Node Graphs.mkv169.95MB

HQ/16-Recitation 05_ Quiz 1 Answers and Object-Oriented Programming.mkv169.7MB

HQ/03-Recitation 01_ Introduction to Coding Concepts.mkv167.39MB

HQ/11-Recitation 04_ Recursion, Pseudo code, and Debugging.mkv158.44MB

HQ/30-Recitation 08_ Hierarchical and k-means Clustering.mkv154.89MB

HQ/09-Recitation 03_ Lists and their Elements, Sorting, and Recursion.mkv154.86MB

HQ/25-Recitation 07_ Distributions, Monte Carlo, and Regressions.mkv145.15MB

HQ/18-Optional Recitation_ Algorithm Complexity and Class Review.mkv143.99MB

LQ/06-Recitation 02_ Loops, Tuples, Strings, and Functions.mp4133.43MB

LQ/31-Lecture 21_ Using Graphs to Model Problems, Part 1.mp4123.08MB

HQ/36-Recitation 10_ Introduction to Dynamic Programming.mkv117.99MB

LQ/02-Lecture 02_ Core Elements of a Program.mp4116.62MB

LQ/16-Recitation 05_ Quiz 1 Answers and Object-Oriented Programming.mp4116.33MB

LQ/34-Lecture 23_ Dynamic Programming.mp4116.03MB

LQ/22-Recitation 06_ Probability and Statistics.mp4115.9MB

LQ/37-Lecture 25_ Queuing Network Models.mp4114.98MB

LQ/03-Recitation 01_ Introduction to Coding Concepts.mp4113.79MB

LQ/21-Lecture 15_ Statistical Thinking.mp4113.13MB

LQ/30-Recitation 08_ Hierarchical and k-means Clustering.mp4112.74MB

LQ/24-Lecture 17_ Curve Fitting.mp4111.31MB

LQ/07-Lecture 05_ Objects in Python.mp4111.3MB

LQ/20-Lecture 14_ Sampling and Monte Carlo Simulation.mp4111.21MB

LQ/15-Lecture 11_ Object Oriented Programming (OOP) and Inheritance.mp4111MB

LQ/05-Lecture 04_ Machine Interpretation of a Program.mp4110.9MB

LQ/17-Lecture 12_ Introduction to Simulation and Random Walks.mp4110.04MB

LQ/38-Lecture 26_ What Do Computer Scientists Do_.mp4109.88MB

LQ/12-Lecture 08_ Efficiency and Order of Growth.mp4109.49MB

LQ/11-Recitation 04_ Recursion, Pseudo code, and Debugging.mp4109.28MB

LQ/09-Recitation 03_ Lists and their Elements, Sorting, and Recursion.mp4109.26MB

LQ/26-Lecture 18_ Optimization Problems and Algorithms.mp4109.11MB

LQ/10-Lecture 07_ Debugging.mp4109.08MB

LQ/27-Lecture 19_ More Optimization and Clustering.mp4108.95MB

LQ/23-Lecture 16_ Using Randomness to Solve Non-random Problems.mp4108.88MB

LQ/33-Recitation 09_ Directed and Undirected Node Graphs.mp4108.35MB

LQ/08-Lecture 06_ Recursion.mp4108.1MB

LQ/35-Lecture 24_ Avoiding Statistical Fallacies.mp4107.58MB

LQ/29-Lecture 20_ More Clustering.mp4107.29MB

LQ/32-Lecture 22_ Using Graphs to Model Problems, Part 2.mp4106.76MB

LQ/13-Lecture 09_ Memory and Search Methods.mp4105.14MB

LQ/04-Lecture 03_ Problem Solving.mp4104.75MB

LQ/25-Recitation 07_ Distributions, Monte Carlo, and Regressions.mp4102.89MB

LQ/14-Lecture 10_ Hashing and Classes.mp4101.9MB

LQ/19-Lecture 13_ Some Basic Probability and Plotting Data.mp493.55MB

LQ/18-Optional Recitation_ Algorithm Complexity and Class Review.mp491.66MB

LQ/01-Lecture 01_ Introduction to 6.00.mp490.56MB

LQ/36-Recitation 10_ Introduction to Dynamic Programming.mp483.53MB