Course curriculum

    1. Module and Instructor Introduction

    2. AI Sciences

    3. Course Outline

    4. Machine Learning Recommender Systems

    5. Deep Learning Recommender Systems

    1. Motivation for Recommender System: Recommender Systems Overview

    2. Motivation for Recommender System: Introduction to Recommender Systems

    3. Motivation for Recommender System: Recommender Systems Process and Goals

    4. Motivation for Recommender System: Generations of Recommender Systems

    5. Motivation for Recommender System: Nexus of AI and Reccommender Systems

    6. Motivation for Recommender System: Applications and Real World Challenges

    7. Motivation for Recommender System: Quiz

    8. Motivation for Recommender System: Quiz Solution

    9. Basic of Recommender System: Overview

    10. Basic of Recommender System: Taxanomy of Recommender Systems

    11. Basic of Recommender System: ICM

    12. Basic of Recommender System: User Rating Matrix

    13. Basic of Recommender System: Quality of Recommender System

    14. Basic of Recommender System: Online Evaluation Techniques

    15. Basic of Recommender System: Offline Evaluation Techniques

    16. Basic of Recommender System: Data Partitioning

    17. Basic of Recommender System: Important Parameters

    18. Basic of Recommender System: Error Metric Computation

    19. Basic of Recommender System: Content Based Filtering

    20. Basic of Recommender System: Collaborative Filtering and User Based Collaborative Filtering

    21. Basic of Recommender System: Item Model and Memory Based Collaborative Filtering

    22. Basic of Recommender System: Quiz

    23. Basic of Recommender System: Quiz solution

    24. Machine Learning for Recommender System: Overview

    25. Machine Learning for Recommender System: Benifits of Machine Learning

    26. Machine Learning for Recommender System: Guidelines for ML

    27. Machine Learning for Recommender System: Design Approaches for ML

    28. Machine Learning for Recommender System: Content Based Filtering

    29. Machine Learning for Recommender System: Data Prepration for Content Based Filtering

    30. Machine Learning for Recommender System: Data Manipulation for Content Based Filtering

    31. Machine Learning for Recommender System: Exploring Genres in Content Based Filtering

    32. Machine Learning for Recommender System: tf-idf Matrix

    33. Machine Learning for Recommender System: Recommendation Engine

    34. Machine Learning for Recommender System: Making Recommendations

    35. Machine Learning for Recommender System: Item Based Collaborative Filtering

    36. Machine Learning for Recommender System: Item Based Filtering Data Prepration

    37. Machine Learning for Recommender System: Age Distribution for Users

    38. Machine Learning for Recommender System: Collaborative Filtering using KNN

    39. Machine Learning for Recommender System: Geographic Filtering

    40. Machine Learning for Recommender System: KNN Implementation

    41. Machine Learning for Recommender System: Making Recommendations with Collaborative Filtering

    42. Machine Learning for Recommender System: User Based Collaborative Filtering

    43. Machine Learning for Recommender System: Quiz

    44. Machine Learning for Recommender System: Quiz Solution

    45. Project 1: Song Recommendation System using content based filtering: Project Introduction

    46. Project 1: Song Recommendation System using content based filtering: Dataset Usage

    47. Project 1: Song Recommendation System using content based filtering: Missing Values

    48. Project 1: Song Recommendation System using content based filtering: Exploring Genres

    49. Project 1: Song Recommendation System using content based filtering: Occurence Count

    50. Project 1: Song Recommendation System using content based filtering: Similarity Index

    51. Project 1: Song Recommendation System using content based filtering: tf-idf Implementation

    52. Project 1: Song Recommendation System using content based filtering: Find Closest Title

    53. Project 1: Song Recommendation System using content based filtering: Fuzzywuzzy Implementaion

    54. Project 1: Song Recommendation System using content based filtering: Making Recommendations

    55. Project 2: Movie Recommendation System using collaborative filtering: Project Introduction

    56. Project 2: Movie Recommendation System using collaborative filtering: Dataset Discussion

    57. Project 2: Movie Recommendation System using collaborative filtering: Rating Plot

    58. Project 2: Movie Recommendation System using collaborative filtering: Count

    59. Project 2: Movie Recommendation System using collaborative filtering: Logrithm of Count

    60. Project 2: Movie Recommendation System using collaborative filtering: Active Users and Popular Movies

    61. Project 2: Movie Recommendation System using collaborative filtering: Making Recommendations

    62. Project 2: Movie Recommendation System using collaborative filtering: Create Collaborative Filter

    63. Project 2: Movie Recommendation System using collaborative filtering: KNN Implementation

    1. Deep Learning Foundation for Recommender Systems: Module Introduction

    2. Deep Learning Foundation for Recommender Systems: Overview

    3. Deep Learning Foundation for Recommender Systems: Deep Learning in Recommendation systems

    4. Deep Learning Foundation for Recommender Systems: Inference After Training

    5. Deep Learning Foundation for Recommender Systems: Inference Mechanism

    6. Deep Learning Foundation for Recommender Systems: Embeddings and User Context

    7. Deep Learning Foundation for Recommender Systems: Neutral Collaborative Filtering

    8. Deep Learning Foundation for Recommender Systems: VAE Collaborative Filtering

    9. Deep Learning Foundation for Recommender Systems: Strengths and Weaknesses of DL Models

    10. Deep Learning Foundation for Recommender Systems: Deep Learning Quiz

    11. Deep Learning Foundation for Recommender Systems: Deep Learning Quiz Solution

    12. Project Amazon Product Recommendation System: Module Overview

    13. Project Amazon Product Recommendation System: TensorFlow Recommenders

    14. Project Amazon Product Recommendation System: Two Tower Model

    15. Project Amazon Product Recommendation System: Project Overview

    16. Project Amazon Product Recommendation System: Download Libraries

    17. Project Amazon Product Recommendation System: Data Visualization with WordCloud

    18. Project Amazon Product Recommendation System: Make Tensors from DataFrame

    19. Project Amazon Product Recommendation System: Rating Our Data

    20. Project Amazon Product Recommendation System: Random Train-Test Split

    21. Project Amazon Product Recommendation System: Making the Model and Query Tower

    22. Project Amazon Product Recommendation System: Candidate Tower and Retrieval System

    23. Project Amazon Product Recommendation System: Compute Loss

    24. Project Amazon Product Recommendation System: Train and Validation

    25. Project Amazon Product Recommendation System: Accuracy vs Recommendations

    26. Project Amazon Product Recommendation System: Making Recommendations

About this course

  • $199.99
  • 94 lessons
  • 8 hours of video content