Classic Computer Science Problems in Python (Video Edition) (Manning)

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[ FreeCourseWeb.com ] Classic Computer Science Problems in Python (Video Edition) (Manning)
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    • Bonus Resources.txt (0.4 KB)
      • Chapter 1. Small problems
      • 001. Small problems.mp4 (17.2 MB)
      • 002. Trivial compression.mp4 (25.8 MB)
      • 003. Unbreakable encryption.mp4 (18.4 MB)
      • 004. The Towers of Hanoi.mp4 (24.8 MB)
      Chapter 2. Search problems
      • 001. Search problems.mp4 (9.0 MB)
      • 002. Binary search.mp4 (13.6 MB)
      • 003. Maze solving.mp4 (19.7 MB)
      • 004. Breadth-first search.mp4 (13.4 MB)
      • 005. A search.mp4 (24.1 MB)
      • 006. Missionaries and cannibals.mp4 (15.6 MB)
      Chapter 3. Constraint-satisfaction problems
      • 001. Constraint-satisfaction problems.mp4 (17.6 MB)
      • 002. The Australian map-coloring problem.mp4 (21.7 MB)
      • 003. SEND+MORE=MONEY.mp4 (10.3 MB)
      Chapter 4. Graph problems
      • 001. Graph problems.mp4 (10.1 MB)
      • 002. Building a graph framework.mp4 (24.8 MB)
      • 003. Finding the shortest path.mp4 (10.8 MB)
      • 004. Minimizing the cost of building the network.mp4 (26.6 MB)
      • 005. Finding shortest paths in a weighted graph.mp4 (19.6 MB)
      Chapter 5. Genetic algorithms
      • 001. Genetic algorithms.mp4 (11.7 MB)
      • 002. A generic genetic algorithm.mp4 (28.4 MB)
      • 003. A naive test.mp4 (20.5 MB)
      • 004. Optimizing list compression.mp4 (27.9 MB)
      Chapter 6. K-means clustering
      • 001. K-means clustering.mp4 (13.9 MB)
      • 002. The k-means clustering algorithm.mp4 (25.2 MB)
      • 003. Clustering Michael Jackson albums by length.mp4 (15.3 MB)
      Chapter 7. Fairly simple neural networks
      • 001. Fairly simple neural networks.mp4 (13.1 MB)
      • 002. Artificial neural networks.mp4 (25.9 MB)
      • 003. Preliminaries.mp4 (27.9 MB)
      • 004. Classification problems.mp4 (7.9 MB)
      • 005. The classic iris data set.mp4 (19.9 MB)
      • 006. Speeding up neural networks.mp4 (27.2 MB)
      Chapter 8. Adversarial search
      • 001. Adversarial search.mp4 (7.7 MB)
      • 002. Tic-tac-toe.mp4 (25.4 MB)
      • 003. Connect Four.mp4 (20.3 MB)
      • 004. Minimax improvements beyond alpha-beta pruning.mp4 (15.3 MB)
      Chapter 9. Miscellaneous problems
      • 001. Miscellaneous problems.mp4 (19.9 MB)
      • 002. The Traveling Salesman Problem.mp4 (16.7 MB)
      • 003. Phone number mnemonics.mp4 (16.3 MB)

Description

Classic Computer Science Problems in Python (Video Edition) (Manning)

https://FreeCourseWeb.com

March 2019 | Created By David Kopec
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 38 Lessons 4 hours 55 minutes | Size: 709 MB

Classic Computer Science Problems in Python deepens your knowledge of problem solving techniques from the realm of computer science by challenging you with time-tested scenarios and algorithms.

As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems!

In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.



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Classic Computer Science Problems in Python (Video Edition) (Manning)

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709.6 MB
seeders:14
leechers:15
Classic Computer Science Problems in Python (Video Edition) (Manning)

Torrent hash: F2342650CAEA394F4F759F4EA5371722D846D902