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Advanced Algorithms (COMPSCI 224)
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Advanced Algorithms (COMPSCI 224), Lecture 1.mp4
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MP4
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237.17 MB
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Advanced Algorithms (COMPSCI 224), Lecture 10.mp4
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MP4
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220.33 MB
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Advanced Algorithms (COMPSCI 224), Lecture 11.mp4
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MP4
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225.94 MB
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Advanced Algorithms (COMPSCI 224), Lecture 12.mp4
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MP4
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224.23 MB
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Advanced Algorithms (COMPSCI 224), Lecture 13.mp4
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MP4
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221.86 MB
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Advanced Algorithms (COMPSCI 224), Lecture 15.mp4
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MP4
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225.77 MB
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Advanced Algorithms (COMPSCI 224), Lecture 16.mp4
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MP4
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221.06 MB
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Advanced Algorithms (COMPSCI 224), Lecture 17.mp4
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MP4
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228.65 MB
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Advanced Algorithms (COMPSCI 224), Lecture 18.mp4
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MP4
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222.29 MB
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Advanced Algorithms (COMPSCI 224), Lecture 19.mp4
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MP4
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215.61 MB
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Advanced Algorithms (COMPSCI 224), Lecture 2.mp4
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MP4
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263.93 MB
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Advanced Algorithms (COMPSCI 224), Lecture 20.mp4
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MP4
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224.5 MB
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Advanced Algorithms (COMPSCI 224), Lecture 21.mp4
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MP4
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233.95 MB
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Advanced Algorithms (COMPSCI 224), Lecture 22.mp4
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MP4
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212.15 MB
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Advanced Algorithms (COMPSCI 224), Lecture 23.mp4
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MP4
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226.66 MB
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Advanced Algorithms (COMPSCI 224), Lecture 24.mp4
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MP4
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224.8 MB
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Advanced Algorithms (COMPSCI 224), Lecture 25.mp4
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MP4
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228.18 MB
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Advanced Algorithms (COMPSCI 224), Lecture 26.mp4
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MP4
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225.01 MB
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Advanced Algorithms (COMPSCI 224), Lecture 3.mp4
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MP4
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240.85 MB
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Advanced Algorithms (COMPSCI 224), Lecture 4.mp4
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MP4
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231.44 MB
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Advanced Algorithms (COMPSCI 224), Lecture 5.mp4
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MP4
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212.84 MB
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Advanced Algorithms (COMPSCI 224), Lecture 6.mp4
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MP4
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220.04 MB
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Advanced Algorithms (COMPSCI 224), Lecture 7.mp4
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MP4
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228.55 MB
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Advanced Algorithms (COMPSCI 224), Lecture 8.mp4
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MP4
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217.42 MB
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Advanced Algorithms (COMPSCI 224), Lecture 9.mp4
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MP4
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222.31 MB
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Berkeley CS 162 Operating Systems
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Lecture 01. Overview (CS 162, Fall 2013, UC Berkeley).mp4
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255.36 MB
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Lecture 02. Concurrency Processes, Threads, and Address Spaces (CS 162, Fall 2013, UC Berkeley).mp4
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284.16 MB
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Lecture 03. Concurrency and Thread Dispatching (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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258.42 MB
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Lecture 04. Synchronization, Atomic Operations, Locks (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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147.53 MB
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Lecture 05. Semaphores, Conditional Variables (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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133.24 MB
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Lecture 06. Readers -Writers Problem, Working in Teams (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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157.3 MB
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Lecture 07. Language Support for Concurrent Programming, Deadlocks (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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146.79 MB
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Lecture 08. Thread Scheduling (CS 162, Fall 2013, UC Berkeley).mp4
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131.95 MB
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Lecture 09. Address Translation (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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145.49 MB
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Lecture 10. Caches and TLBs (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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159.59 MB
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Lecture 11. Page Allocation and Replacement (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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138.96 MB
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Lecture 12. Kernel_User, I_O (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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155.84 MB
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Lecture 13. Disk_SSDs, File Systems (Part 1) (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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163.03 MB
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Lecture 14. File Systems (Part 2) (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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152.8 MB
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Lecture 15. Key Value Storage, Network Protocols (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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137.02 MB
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Lecture 16. Layering (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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133.57 MB
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Lecture 17. TCP, Flow Control, Reliability (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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138.81 MB
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Lecture 18. Transactions (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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128.84 MB
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Lecture 19. Transactions, Two Phase Locking 2PL & Commit 2PC (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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219.7 MB
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Lecture 20. Why Systems Fail and What We Can Do About It (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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143.62 MB
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Lecture 21. Security I - Key Security and Cryptographic Mechanisms (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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150.56 MB
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Lecture 22. Security II - Host Compromise & Denial of Service (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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131.05 MB
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Lecture 23. Remote Procedure Call (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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286.7 MB
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Lecture 24. Capstone - Cloud Computing (CS 162, Fall 2013, UC Berkeley).mp4
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MP4
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263.7 MB
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Bioinformatics in Python
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C++ Tutorial
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CS224N - Natural Language Processing with Deep Learning _ Winter 2019
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CS234 - Reinforcement Learning _ Winter 2019
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Calculus I (Entire Course)
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Calculus II (Entire Course)
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Data Structures
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Discrete Math I (Entire Course)
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Django Tutorials
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Java Algorithms
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Linear Algebra (Entire Course)
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MIT - Artificial Intelligence (6.034)
|
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1. Introduction and Scope.mp4
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MP4
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219.25 MB
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10. Introduction to Learning, Nearest Neighbors.mp4
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MP4
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464.73 MB
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11. Learning - Identification Trees, Disorder.mp4
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MP4
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246.2 MB
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12a - Neural Nets.mp4
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MP4
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226.45 MB
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12b - Deep Neural Nets.mp4
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MP4
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208.38 MB
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13. Learning - Genetic Algorithms.mp4
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MP4
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231.8 MB
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14. Learning - Sparse Spaces, Phonology.mp4
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MP4
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215.63 MB
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15. Learning - Near Misses, Felicity Conditions.mp4
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MP4
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423.84 MB
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16. Learning - Support Vector Machines.mp4
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MP4
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157.09 MB
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17. Learning - Boosting.mp4
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MP4
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233.46 MB
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18. Representations - Classes, Trajectories, Transitions.mp4
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MP4
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224.37 MB
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19. Architectures - GPS, SOAR, Subsumption, Society of Mind.mp4
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MP4
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472.85 MB
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2. Reasoning - Goal Trees and Problem Solving.mp4
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MP4
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466.99 MB
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21. Probabilistic Inference I.mp4
|
MP4
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388.97 MB
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22. Probabilistic Inference II.mp4
|
MP4
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358.47 MB
|
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23. Model Merging, Cross-Modal Coupling, Course Summary.mp4
|
MP4
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128.95 MB
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3. Reasoning - Goal Trees and Rule-Based Expert Systems.mp4
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MP4
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217.63 MB
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4. Search - Depth-First, Hill Climbing, Beam.mp4
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MP4
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429.07 MB
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5. Search - Optimal, Branch and Bound, A.mp4
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MP4
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435.71 MB
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6. Search - Games, Minimax, and Alpha-Beta.mp4
|
MP4
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454.16 MB
|
|
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7. Constraints - Interpreting Line Drawings.mp4
|
MP4
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457.28 MB
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8. Constraints - Search, Domain Reduction.mp4
|
MP4
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119.14 MB
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9. Constraints - Visual Object Recognition.mp4
|
MP4
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133.54 MB
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|
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Mega-R1. Rule-Based Systems.mp4
|
MP4
|
447.56 MB
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Mega-R2. Basic Search, Optimal Search.mp4
|
MP4
|
387.54 MB
|
|
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Mega-R3. Games, Minimax, Alpha-Beta.mp4
|
MP4
|
237.03 MB
|
|
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Mega-R4. Neural Nets.mp4
|
MP4
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426.63 MB
|
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Mega-R5. Support Vector Machines.mp4
|
MP4
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130.94 MB
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Mega-R6. Boosting.mp4
|
MP4
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342.46 MB
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|
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Mega-R7. Near Misses, Arch Learning.mp4
|
MP4
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203.23 MB
|
|
|
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MIT 6.003 Signals and Systems, Fall 2011
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MIT 6.824 Distributed Systems (Spring 2020)
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MIT 6.832 Underactuated Robotics, Spring 2009
|
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Lecture 1 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
|
MP4
|
196.37 MB
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Lecture 10 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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207.1 MB
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Lecture 11 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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265.03 MB
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Lecture 12 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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215.98 MB
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Lecture 13 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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199.69 MB
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Lecture 14 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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203.9 MB
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Lecture 15 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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273.1 MB
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Lecture 16 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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232.12 MB
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Lecture 17 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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199.32 MB
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Lecture 18 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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204.29 MB
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Lecture 19 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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205.46 MB
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Lecture 2 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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203.42 MB
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Lecture 20 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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270.07 MB
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Lecture 21 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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268.33 MB
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Lecture 22 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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183.56 MB
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Lecture 23 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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161.24 MB
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Lecture 3 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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198.35 MB
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Lecture 4 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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219.35 MB
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Lecture 5 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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253.97 MB
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Lecture 6 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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224.75 MB
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Lecture 7 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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169.59 MB
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Lecture 8 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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193.56 MB
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Lecture 9 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4
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MP4
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178.3 MB
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MIT 6.S191 - Introduction to Deep Learning
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MIT 6.S897 Machine Learning for Healthcare, Spring 2019
|
|
1. What Makes Healthcare Unique.mp4
|
MP4
|
467.42 MB
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10. Application of Machine Learning to Cardiac Imaging.mp4
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MP4
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373.06 MB
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11. Differential Diagnosis.mp4
|
MP4
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312.63 MB
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12. Machine Learning for Pathology.mp4
|
MP4
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316.41 MB
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13. Machine Learning for Mammography.mp4
|
MP4
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120.72 MB
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14. Causal Inference, Part 1.mp4
|
MP4
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642.91 MB
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15. Causal Inference, Part 2.mp4
|
MP4
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111.41 MB
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|
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16. Reinforcement Learning, Part 1.mp4
|
MP4
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288.54 MB
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17. Reinforcement Learning, Part 2.mp4
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MP4
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434.65 MB
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18. Disease Progression Modeling and Subtyping, Part 1.mp4
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MP4
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531.31 MB
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19. Disease Progression Modeling and Subtyping, Part 2.mp4
|
MP4
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422.31 MB
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2. Overview of Clinical Care.mp4
|
MP4
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464.63 MB
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20. Precision Medicine.mp4
|
MP4
|
421.42 MB
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21. Automating Clinical Work Flows.mp4
|
MP4
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315.87 MB
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|
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22. Regulation of Machine Learning _ Artificial Intelligence in the US.mp4
|
MP4
|
561.65 MB
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23. Fairness.mp4
|
MP4
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312.66 MB
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|
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24. Robustness to Dataset Shift.mp4
|
MP4
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350.52 MB
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25. Interpretability.mp4
|
MP4
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340.54 MB
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3. Deep Dive Into Clinical Data.mp4
|
MP4
|
457.12 MB
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4. Risk Stratification, Part 1.mp4
|
MP4
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543.25 MB
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5. Risk Stratification, Part 2.mp4
|
MP4
|
509.63 MB
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6. Physiological Time-Series.mp4
|
MP4
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399.08 MB
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7. Natural Language Processing (NLP), Part 1.mp4
|
MP4
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436.51 MB
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8. Natural Language Processing (NLP), Part 2.mp4
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MP4
|
394.6 MB
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9. Translating Technology Into the Clinic.mp4
|
MP4
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641.02 MB
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MIT 7.91J Foundations of Computational and Systems Biology
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Machine Learning with Python
|
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NA
|
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Operating System
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Probability
|
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Reinforcement Learning
|
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Self-Driving Cars Lectures
|
|
|
Software Engineering
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|
Spring 2015 -- Computer Architecture Lectures -- Carnegie Mellon
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Stanford CS224U - Natural Language Understanding _ Spring 2019
|
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|
Statistics (Full Length Videos)
|
|
Statistics Lecture 1.1 - The Key Words and Definitions For Elementary Statistics.mp4
|
MP4
|
43.02 MB
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Statistics Lecture 1.3 - Exploring Categories of Data, Levels of Measurement.mp4
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MP4
|
118.44 MB
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Statistics Lecture 1.5 - Sampling Techniques. How to Develop a Random Sample.mp4
|
MP4
|
273.84 MB
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|
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Statistics Lecture 2.2 - Creating Frequency Distribution and Histograms.mp4
|
MP4
|
579.87 MB
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|
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Statistics Lecture 3.2 - Finding the Center of a Data Set. Mean, Median, Mode.mp4
|
MP4
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248.59 MB
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Statistics Lecture 3.3 - Finding the Standard Deviation of a Data Set.mp4
|
MP4
|
1003.05 MB
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Statistics Lecture 3.4 - Finding Z-Score, Percentiles and Quartiles, and Comparing Standard Deviation.mp4
|
MP4
|
332.88 MB
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|
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Statistics Lecture 4.2 - Introduction to Probability.mp4
|
MP4
|
323.26 MB
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Statistics Lecture 4.3 - The Addition Rule for Probability.mp4
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MP4
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263.17 MB
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Statistics Lecture 4.4 - The Multiplication Rule for 'And' Probabilities..mp4
|
MP4
|
573.42 MB
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|
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Statistics Lecture 4.5 - Probability of Complementary Events with 'At Least One'.mp4
|
MP4
|
121.22 MB
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|
Statistics Lecture 4.7 - Fundamental Counting Rule, Permutations and Combinations.mp4
|
MP4
|
358 MB
|
|
|
Statistics Lecture 5.2 - A Study of Probability Distributions, Mean, and Standard Deviation.mp4
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MP4
|
294.2 MB
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|
|
Statistics Lecture 5.3 - A Study of Binomial Probability Distributions.mp4
|
MP4
|
798.71 MB
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|
|
Statistics Lecture 5.4 - Finding Mean and Standard Deviation of a Binomial Probability Distribution.mp4
|
MP4
|
109.82 MB
|
|
|
Statistics Lecture 6.2 - Introduction to the Normal Distribution and Continuous Random Variables.mp4
|
MP4
|
671.07 MB
|
|
|
Statistics Lecture 6.3 - The Standard Normal Distribution. Using z-score, Standard Score.mp4
|
MP4
|
496.73 MB
|
|
|
Statistics Lecture 6.4 - Sampling Distributions Statistics. Using Samples to Approx. Populations.mp4
|
MP4
|
161.98 MB
|
|
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Statistics Lecture 6.5 - The Central Limit Theorem for Statistics. Using z-score, Standard Score.mp4
|
MP4
|
803.27 MB
|
|
|
Statistics Lecture 7.2 - Finding Confidence Intervals for the Population Proportion.mp4
|
MP4
|
1.23 GB
|
|
|
Statistics Lecture 7.3 - Confidence Interval for the Sample Mean, Population Std Dev -- Known.mp4
|
MP4
|
162.88 MB
|
|
|
Statistics Lecture 7.4 - Confidence Interval for the Sample Mean, Population Std Dev -- Unknown.mp4
|
MP4
|
203.15 MB
|
|
|
Statistics Lecture 7.5 - Confidence Intervals for Variance and Std Dev. Chi-Squared Distribution..mp4
|
MP4
|
84.06 MB
|
|
|
Statistics Lecture 8.2 - An Introduction to Hypothesis Testing.mp4
|
MP4
|
423.96 MB
|
|
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Statistics Lecture 8.3 - Hypothesis Testing for Population Proportion.mp4
|
MP4
|
334.88 MB
|
|
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Statistics Lecture 8.4 - Hypothesis Testing for Population Mean. Population Std Dev is Known..mp4
|
MP4
|
123.22 MB
|
|
|
Statistics Lecture 8.5 - Hypothesis Testing for Population Mean. Population Std Dev is Unknown..mp4
|
MP4
|
130.03 MB
|
|
|
Statistics Lecture 8.6 - Hypothesis Testing Involving Variance and Standard Deviation..mp4
|
MP4
|
37.7 MB
|
|
|
|
UML 2.0 Tutorial
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|
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download.py
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PY
|
4.02 KB
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