Udemy | Python Machine Learning Basics Shallow Learning Algorithms [FTU] GloDLS
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Torrent File Contents
Udemy | Python Machine Learning Basics Shallow Learning Algorithms [FTU] GloDLS
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0. Websites you may like/How you can help Team-FTU.txt
1. Introduction/1. What is Machine Learning.mp4
1. Introduction/1. What is Machine Learning.vtt
1. Introduction/2. Shallow vs Deep learning.mp4
1. Introduction/2. Shallow vs Deep learning.vtt
1. Introduction/3. Theory vs Practice.mp4
1. Introduction/3. Theory vs Practice.vtt
2. Machine Learning Framework/1. Scikit Surprise.mp4
2. Machine Learning Framework/1. Scikit Surprise.vtt
2. Machine Learning Framework/2. Evaluation.mp4
2. Machine Learning Framework/2. Evaluation.vtt
2. Machine Learning Framework/3. Install Python 3.5+.mp4
2. Machine Learning Framework/3. Install Python 3.5+.vtt
2. Machine Learning Framework/4. MI Python skeleton.mp4
2. Machine Learning Framework/4. MI Python skeleton.vtt
3. SVD/1. SVD implementation.mp4
3. SVD/1. SVD implementation.vtt
3. SVD/2.1 Singular Value Decomposition Stanford University.html
3. SVD/2. SVD Theory.mp4
3. SVD/2. SVD Theory.vtt
3. SVD/3. Implement SVD().html
4. KNN/1. KNN implementation.mp4
4. KNN/1. KNN implementation.vtt
4. KNN/2. Knn theory.mp4
4. KNN/2. Knn theory.vtt
4. KNN/3. User vs Item.mp4
4. KNN/3. User vs Item.vtt
4. KNN/4. Implementing KNN.html
5. Going Live/1. Display KNN neighbors.mp4
5. Going Live/1. Display KNN neighbors.vtt
5. Going Live/2. Display SVD Item Predictions.mp4
5. Going Live/2. Display SVD Item Predictions.vtt
5. Going Live/3. Surpriselib and Flask.mp4
5. Going Live/3. Surpriselib and Flask.vtt
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- 328 Bytes
0. Websites you may like/2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url
- 286 Bytes
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- 239 Bytes
0. Websites you may like/5. (Discuss.FTUForum.com) FTU Discussion Forum.url
- 294 Bytes
0. Websites you may like/How you can help Team-FTU.txt
- 237 Bytes
1. Introduction/1. What is Machine Learning.mp4
- 28.67 MB
1. Introduction/1. What is Machine Learning.vtt
- 5.76 KB
1. Introduction/2. Shallow vs Deep learning.mp4
- 13.27 MB
1. Introduction/2. Shallow vs Deep learning.vtt
- 3.36 KB
1. Introduction/3. Theory vs Practice.mp4
- 11.4 MB
1. Introduction/3. Theory vs Practice.vtt
- 3.61 KB
2. Machine Learning Framework/1. Scikit Surprise.mp4
- 38.56 MB
2. Machine Learning Framework/1. Scikit Surprise.vtt
- 4.41 KB
2. Machine Learning Framework/2. Evaluation.mp4
- 21.53 MB
2. Machine Learning Framework/2. Evaluation.vtt
- 7.96 KB
2. Machine Learning Framework/3. Install Python 3.5+.mp4
- 7.3 MB
2. Machine Learning Framework/3. Install Python 3.5+.vtt
- 1017 Bytes
2. Machine Learning Framework/4. MI Python skeleton.mp4
- 58.65 MB
2. Machine Learning Framework/4. MI Python skeleton.vtt
- 8.89 KB
3. SVD/1. SVD implementation.mp4
- 53.07 MB
3. SVD/1. SVD implementation.vtt
- 6.86 KB
3. SVD/2.1 Singular Value Decomposition Stanford University.html
- 104 Bytes
3. SVD/2. SVD Theory.mp4
- 36.99 MB
3. SVD/2. SVD Theory.vtt
- 4.54 KB
3. SVD/3. Implement SVD().html
- 150 Bytes
4. KNN/1. KNN implementation.mp4
- 37.7 MB
4. KNN/1. KNN implementation.vtt
- 4.18 KB
4. KNN/2. Knn theory.mp4
- 22.65 MB
4. KNN/2. Knn theory.vtt
- 5.61 KB
4. KNN/3. User vs Item.mp4
- 18.59 MB
4. KNN/3. User vs Item.vtt
- 2.34 KB
4. KNN/4. Implementing KNN.html
- 150 Bytes
5. Going Live/1. Display KNN neighbors.mp4
- 31.7 MB
5. Going Live/1. Display KNN neighbors.vtt
- 4.12 KB
5. Going Live/2. Display SVD Item Predictions.mp4
- 22.6 MB
5. Going Live/2. Display SVD Item Predictions.vtt
- 3.85 KB
5. Going Live/3. Surpriselib and Flask.mp4
- 48.51 MB
5. Going Live/3. Surpriselib and Flask.vtt
- 6.15 KB
Torrent Description
Description:
Become an expert in Python Machine Learning recommendation algorithms
Created by: Mark Nielsen
Last updated: 9/2018
Language: English
Caption (CC): Included
Torrent Contains: 39 Files, 5 Folders
Course Source: https://www.udemy.com/basic-machine-learning-shallow-learning/
What you'll learn
• Understand basic machine learning principles
• Understand the different between Shallow learning and Deep learning
• Implement shallow learning algorithms
Requirements
• Computer
• Internet
• No prior coding knowledge
Description
Start your Machine Learning career with this basic Machine learning course. Together we will look into the "shallow" learning algorithms KNN and SVD. The course consist of both assignments, follow along programming and theory lectures to ensure that you as a student have the best possible foundation to make real world applications using KNN or SVD.
Who this course is for:
• Anyone who wish to learn machine learning
• Anyone who wish to develop recommender systems.
Become an expert in Python Machine Learning recommendation algorithms
Created by: Mark Nielsen
Last updated: 9/2018
Language: English
Caption (CC): Included
Torrent Contains: 39 Files, 5 Folders
Course Source: https://www.udemy.com/basic-machine-learning-shallow-learning/
What you'll learn
• Understand basic machine learning principles
• Understand the different between Shallow learning and Deep learning
• Implement shallow learning algorithms
Requirements
• Computer
• Internet
• No prior coding knowledge
Description
Start your Machine Learning career with this basic Machine learning course. Together we will look into the "shallow" learning algorithms KNN and SVD. The course consist of both assignments, follow along programming and theory lectures to ensure that you as a student have the best possible foundation to make real world applications using KNN or SVD.
Who this course is for:
• Anyone who wish to learn machine learning
• Anyone who wish to develop recommender systems.