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

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[FreeCoursesOnline.Me] AppliedAICourse - Applied Machine Learning Course [UPDATE ONLY] 0. Websites you may like
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  • 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)
  • 37.4 - ML problem formulation Mapping real world to ML problem.mp4 (153.2 MB)
  • 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 (2.0 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)
  • 56.1 - Live session on Generative Adversarial Networks (GAN).mp4 (1.3 GB)
  • All Assignments Files.zip (248.7 MB)
  • Revision Questions.zip (5.0 MB)

Description

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Course : https://1337x.to/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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AppliedAICourse | Applied Machine Learning Course [UPDATE ONLY] [FCO]


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


Torrent hash: C7C2962313A23755EA33D8D3578F108C24E72786