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04 Linked Lists/010 Insertion Sort revisited.mp4  20.64 MB
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06 Recursion/004 Tower of Hanoi.mp4  16.69 MB
07 Binary Search Trees/007 Deleting an Item Case 1.mp4  13.63 MB
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04 Linked Lists/010 Insertion Sort revisited.mp4  20.64 MB
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06 Recursion/006 Merge Sort.mp4  17.23 KB
02 Analysis of Algorithms/008 Comparison of running times.mp4  32.65 KB
05 Stacks and Queues/002 Abstract Data Types.mp4  1.06 MB
10 Hashtables/009 Conclusion.mp4  1.32 MB
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~Get Your Files Here !/Appendix_A._Performance_of_AVL_trees.mp4  4.65 MB
~Get Your Files Here !/Appendix_B._NP-hard_problems.mp4  18.48 MB
~Get Your Files Here !/Appendix_C._Answers_to_exercises.mp4  32.72 MB
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Chapter 1 - Getting Started With Data Structures and Algorithms/001-The Course Overview-git.ir.mp4  5.09 MB
Chapter 1 - Getting Started With Data Structures and Algorithms/002-Technology Setup-git.ir.mp4  8.56 MB
Chapter 2 - Creating Efficiency with Strings/003-Using String Data Structures for Word Processing-git.ir.mp4  13.28 MB
Chapter 2 - Creating Efficiency with Strings/004-Searching Strings in Large Documents-git.ir.mp4  34.28 MB
Chapter 2 - Creating Efficiency with Strings/005-Sorting Strings to Organize Output-git.ir.mp4  24.35 MB

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1_-_Algorithms/3_-_Analysis_of_Linear_Search_and_Binary_Search_Algorithms.mp4  21.42 MB
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Урок 16. Additional Resources to Make You a Better Developer.mp4  3.7 MB
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2. Machine Learning Framework/4. MI Python skeleton.mp4  58.65 MB
3. SVD/1. SVD implementation.mp4  53.07 MB
5. Going Live/3. Surpriselib and Flask.mp4  48.51 MB
2. Machine Learning Framework/1. Scikit Surprise.mp4  38.56 MB
4. KNN/1. KNN implementation.mp4  37.7 MB