[UDACITY] Artificial Intelligence Nanodegree + Version 2.0.0 [2 In 1] [FCO]

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[UDACITY] Artificial Intelligence Nanodegree + Version 2.0.0 [2 In 1] [FCO] (Size: 9.8 GB)
  1. Introduction to AI.iso 3.2 GB
  2. AI for Robotics.iso 1.3 GB
  3. machine learning 1A.iso 920.5 MB
  4. machine learning 1B.iso 909.8 MB
  5. machine learning 2.iso 954.2 MB
  6. machine learning 3.iso 1.1 GB
  Artificial Intelligence Nanodegree v2.0.0.part1.rar 1 GB
  Artificial Intelligence Nanodegree v2.0.0.part2.rar 570.9 MB
  Course Info.txt 4.7 KB
  Discuss.FreeTutorials.Us.html 165.7 KB
  FreeCoursesOnline.Me.html 108.3 KB
  FreeTutorials.Eu.html 102.2 KB
  Presented By SaM.txt 0 B
  Torrent Downloaded From GloDls.to.txt 102.4 B
  [TGx]Downloaded from torrentgalaxy.org.txt 512 B

Description


Torrent Contains : 15 Files, 2 Folders
Total Size : 9.84 GB (10,569,805,824 bytes)
Course Source : https://eu.udacity.com/course/artificial-intelligence--ud954
Course Source v2.0.0 : https://www.udacity.com/course/ai-artificial-intelligence-nanodegree--nd898

Folders Info :

1. Artificial Intelligence Nanodegree - Size : 8.28 GB
Contains : 6 Files
Description : Learn about the fundamentals of Artificial Intelligence in this introductory graduate-level course. It provides a survey of various topics in the field along with in-depth discussion of foundational concepts such as classical search, probability, machine learning, logic and planning.

Topics :

- Introduction to Artificial Intelligence (3GB)
- Artificial Intelligence for Robotics (1.3GB)
- machine learning 1A (920MB)
- machine learning 1B (909 MB)
- machine learning 2 (950 MB)
- machine learning 3 (1 GB)

2. Artificial Intelligence Nanodegree v2.0.0 - Size : 1.61 GB
Contains : 1,782 Files, 46 Folders
Description : Become an expert in the core concepts of artificial intelligence and learn how to apply them to real-life problems.

- Course Info .txt + Course Index Added Into Folder.

Why Take This Nanodegree Program?

Learn from the world’s foremost AI experts, and develop a deep understanding of algorithms being applied to real-world problems in natural language processing, computer vision, bioinformatics, and more. Practice a structured approach for applying these techniques to new challenges, and emerge fully prepared to advance in the field.

For More Udemy Free Courses >>> http://www.freetutorials.eu
For more Lynda and other Courses >>> https://www.freecoursesonline.me/
Our Forum for discussion >>> https://discuss.freetutorials.eu/




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