AppliedAICourse | Applied Machine Learning Course [UPDATE ONLY] [FCO]

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AppliedAICourse | Applied Machine Learning Course [UPDATE ONLY] [FCO] (Size: 6.2 GB)
  1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url 307.2 B
  11.5 - Equation of a line (2-D), Plane(3-D) and Hyperplane (n-D), Plane Passing through origin, Normal to a Plane.mp4 115.6 MB
  2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url 307.2 B
  3. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, Comics, Articles and more... etc.url 204.8 B
  37.4 - ML problem formulation Mapping real world to ML problem.mp4 153.2 MB
  4. (FTUApps.com) Download Cracked Developers Applications For Free.url 204.8 B
  40.7 - EDAData Loading.mp4 145.2 MB
  41.8 - Exploratory Data Analysis Multivariate analysis of features from byte files.mp4 21.1 MB
  42.1 - Live Session on Ad-Click Prediction.mp4 2 GB
  42.2 - Live Session on Ad-Click Prediction(contd.) and Performance Metrics.mp4 1.8 GB
  48.1 - Problem Statement Recommend similar apparel products in e-commerce using product descriptions and Images.mp4 113.2 MB
  48.12 - Text based product similarity Converting text to an n-D vector bag of words.mp4 88.1 MB
  48.17 - Text Semantics based product similarity Word2Vec(featurizing text based on semantic similarity).mp4 160.3 MB
  48.24 - Deep learning based visual product similarityConvNets How to featurize an image edges, shapes, parts.mp4 65.3 MB
  48.28 - Assignment-24, Apparel Recommendation.mp4 38.7 MB
  5. (Discuss.FTUForum.com) FTU Discussion Forum.url 307.2 B
  56.1 - Live session on Generative Adversarial Networks (GAN).mp4 1.3 GB
  All Assignments Files.zip 248.7 MB
  How you can help Team-FTU.txt 204.8 B
  Revision Questions.zip 5 MB
  ▲ 20 total files

Description


Lynda and other Courses >>> https://www.freecoursesonline.me/
For Developer Tools & Apps >>> https://ftuapps.com/
Forum for discussion >>> https://1hack.us/


Course : #/torrent/3548265/AppliedAICourse-Applied-Machine-Learning-Course-FCO/
All Missing Videos as per your users report @Muhammad Usharab

1
Module Name: Module 2: Data Science Exploratory Data Analysis and Data Visualization
Chapter Name: LINEAR ALGEBRA
Video Name: 11.5 – Equation of a line (2-D), Plane(3-D) and Hyperplane (n-D), Plane Passing through origin, Normal to a Plane

2
Module Name: Module 6: Machine Learning Real-World Case Studies
Chapter Name: CASE STUDY 5: STACKOVERFLOW TAG PREDICTOR
Video Name: 40.7 – EDAData Loading

3
Module Name: Module 6: Machine Learning Real-World Case Studies
Chapter Name: CASE STUDY 6 MICROSOFT MALWARE DETECTION
Video Name: 41.8 – Exploratory Data Analysis Multivariate analysis of features from byte files

4
Module Name: Module 6: Machine Learning Real-World Case Studies
Chapter Name: CASE STUDY 2 PERSONALIZED CANCER DIAGNOSIS
Video Name: 37.4 – ML problem formulation Mapping real world to ML problem

5
Module Name: Module 6: Machine Learning Real-World Case Studies
Chapter Name: Case Study 7: AD-CLICK Prediction
Video Name: 42.1 – Live Session on Ad-Click Prediction

6
Module Name: Module 6: Machine Learning Real-World Case Studies
Chapter Name: Case Study 7: AD-CLICK Prediction
Video Name: 42.2 – Live Session on Ad-Click Prediction(contd.) and Performance Metrics

7
Module Name: Module 7: Data Mining(Unsupervised Learning) and Recommender Systems + Real-World Case Studies
Chapter Name: CASE STUDY 8 AMAZON FASHION DISCOVERY ENGINE
Video Name: 48.1 – Problem Statement Recommend similar apparel products in e-commerce using product descriptions and Images

8
Module Name: Module 7: Data Mining(Unsupervised Learning) and Recommender Systems + Real-World Case Studies
Chapter Name: CASE STUDY 8 AMAZON FASHION DISCOVERY ENGINE
Video Name: 48.12 – Text based product similarity Converting text to an n-D vector bag of words

9
Module Name: Module 7: Data Mining(Unsupervised Learning) and Recommender Systems + Real-World Case Studies
Chapter Name: CASE STUDY 8 AMAZON FASHION DISCOVERY ENGINE
Video Name: 48.17 – Text Semantics based product similarity Word2Vec(featurizing text based on semantic similarity)

10
Module Name: Module 7: Data Mining(Unsupervised Learning) and Recommender Systems + Real-World Case Studies
Chapter Name: CASE STUDY 8 AMAZON FASHION DISCOVERY ENGINE
Video Name: 48.24 – Deep learning based visual product similarityConvNets How to featurize an image edges, shapes, parts

11
Module Name: Module 7: Data Mining(Unsupervised Learning) and Recommender Systems + Real-World Case Studies
Chapter Name: CASE STUDY 8 AMAZON FASHION DISCOVERY ENGINE
Video Name: 48.28 – Assignment-24, Apparel Recommendation

12
Module 8: Neural Networks, Computer Vision and Deep Learning
Chapter Name: Deep Learning: Generative Adversarial Networks (GANs)
Video Name: 56.1 – Live session on Generative Adversarial Networks (GAN)





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