Recommendations Based On Machine Learning Powerpoint Presentation Slides

Slide 1: This slide introduces Recommendations based on machine learning. Commence by stating Your Company Name.
Slide 2: This slide depicts the Agenda of the presentation.
Slide 3: This slide incorporates the Table of contents.
Slide 4: This is yet another slide continuing the Table of contents.
Slide 5: This slide highlights the Title for the Topics to be covered further.
Slide 6: This slide outlines the overview of a recommendation engine.
Slide 7: This slide states the Logical process of recommender system technology.
Slide 8: This slide highlights the three generations of recommender systems.
Slide 9: This slide represents the growth of the recommender systems.
Slide 10: This slide showcases the Benefits of implementing recommender systems in business.
Slide 11: This slide presents few companies which have been benefitted from using recommendation systems in their websites.
Slide 12: This slide displays the Applications of recommender systems in different sectors.
Slide 13: This slide includes the Heading for the Contents to be discussed next.
Slide 14: This slide mentions the Types and applications of recommender system techniques.
Slide 15: This slide elucidates the Title for the Ideas to be covered in the following template.
Slide 16: This slide represents the basic idea behind the content-base recommender system.
Slide 17: This slide demonstrate the working of content-based recommendation system.
Slide 18: This slide shows the Working of content-based movie recommendation model.
Slide 19: This slide talks about the idea behind the content based recommendation systems.
Slide 20: This slide portrays the concept of item-centred Bayesian classifier.
Slide 21: This slide demonstrates the concept of user-centred linear regression.
Slide 22: This slide outlines the benefits of using content-based filtering in recommendation engine.
Slide 23: This slide talks about the disadvantages of using content-based filtering method.
Slide 24: This slide indicates the Heading for the Ideas to be covered in the forth-coming template.
Slide 25: This slide represents the basic idea behind the collaborative filtering recommendation technique.
Slide 26: This slide exhibits the Techniques for building a CF system- Neural collaborative filtering.
Slide 27: This slide talks about the technique for building collaborative filtering system.
Slide 28: This slide focuses on Memory based collaborative filtering techniques.
Slide 29: This slide provides information about the User-user memory based collaborative filtering.
Slide 30: This slide reveals Item-item memory based collaborative filtering.
Slide 31: This slide represents the user-user and item-item memory based collaborative filtering recommendation techniques.
Slide 32: This slide outlines the various model-based collaborative filtering approaches.
Slide 33: This slide continues the Model-based collaborative filtering techniques.
Slide 34: This slide demonstrates the matrix factorization method to achieve model-based collaborative filtering.
Slide 35: This slide showcases the non-parametric approach to achieve model-based collaborative filtering.
Slide 36: This slide talks about the matrix factorization and embeddings of neural nets.
Slide 37: This slide represents the benefits and drawbacks of collaborative filtering method of recommendation.
Slide 38: This slide depicts the Title for the Components to be further discussed.
Slide 39: This slide reveals the Introduction to hybrid recommendation system technology.
Slide 40: This slide highlights the system design for hybrid recommendation systems used to provide efficient suggestions.
Slide 41: This slide deals with System architecture of hybrid recommendation system.
Slide 42: This slide states the Different approaches of hybrid recommendation systems.
Slide 43: This is yet another slide continuing the Different approaches of hybrid recommendation systems.
Slide 44: This slide further continues the Different approaches of hybrid recommendation systems.
Slide 45: This slide exhibits the Advantages and disadvantages of hybrid recommender system.
Slide 46: This slide presents the Heading for the Topics to be covered in the following template.
Slide 47: This slide talks about four steps to build a recommender system.
Slide 48: This slide demonstrates about the different types of information used by recommender systems.
Slide 49: This slide highlights several kinds of feedbacks used by recommender systems.
Slide 50: This slide emphasizes on the Statistical measures to evaluate accuracy of recommender systems.
Slide 51: This slide presents the Approaches to setup recommender system in business.
Slide 52: This slide illustrates the methods to build an effective recommender system.
Slide 53: This slide displays the Title for the Ideas to be discussed in the next template.
Slide 54: This slide talks about the ways in which Amazon uses artificial intelligence to provide personalized recommendations.
Slide 55: This slide represents the working of Amazon’s recommendation system.
Slide 56: This slide mentions about the hybrid algorithms used by Amazon’s recommender system.
Slide 57: This slide depicts the Heading for the Ideas to be covered further.
Slide 58: This slide illustrates the step by step working flow of Netflix’s recommender system.
Slide 59: This slide talks about the evolution of Netflix after efficiently utilizing the concept of movie recommendation.
Slide 60: This slide talks about various algorithms used in Netflix’s recommendation system.
Slide 61: This slide incorporates the Title for the Topics to be discussed further.
Slide 62: This slide demonstrates the working of YouTube’s recommendation system.
Slide 63: This slide elucidates the Heading for the Components to be discussed next.
Slide 64: This slide outlines the various features generated by the recommender system used by Spotify.
Slide 65: This slide presents the Techniques used in Spotify recommender system.
Slide 66: This slide reveals the Title for the Contents to be covered in the following template.
Slide 67: This slide demonstrates the working flow of LinkedIn’s recruiter search.
Slide 68: This slide portrays the Architecture of LinkedIn recruiter search technique.
Slide 69: This slide continues the Architecture of course recommendations on LinkedIn Learning.
Slide 70: This slide highlights the Heading for the Topics to be discussed in the upcoming template.
Slide 71: This slide talks about the major cold-start problem experienced while implementing some recommendation techniques.
Slide 72: This slide states the Solutions to minimize the cold-start problem.
Slide 73: This slide mentions the Title for the Ideas to be covered further.
Slide 74: This slide demonstrates the best practices for creating and implementing recommender systems in business.
Slide 75: This slide presents the Heading for the Ideas to be discussed in the following template.
Slide 76: This slide talks about the various difficulties faced while implementing recommendation systems.
Slide 77: This slide elucidates the Title for the Topics to be discussed next.
Slide 78: This slide compares the most widely used content-based and collaborative filtering techniques.
Slide 79: This slide incorporates the Heading for the Contents to be covered in the forth-coming template.
Slide 80: This slide outlines the checklist for deploying recommendation engine in business.
Slide 81: This slide represents the Title for the Components to be discussed further.
Slide 82: This slide mentions about the 30-60-90 days plan for implementing recommender system.
Slide 83: This slide depicts the Heading for the Topics to be covered next.
Slide 84: This slide showcases the Timeline to implement recommendation engine in business.
Slide 85: This slide indicates the Title for the Ideas to be further discussed.
Slide 86: This slide represents the roadmap for deploying recommendation engine.
Slide 87: This slide reveals the Heading for the Components to be covered in the following template.
Slide 88: This slide shows the dashboard to keep a track of the performance of recommender systems.
Slide 89: This is the Icons slide containing all the Icons used in the plan.
Slide 90: This slide is used for showcasing some Additional information.
Slide 91: This slide elucidates the Custom bar.
Slide 92: This slide illustrates the Area chart.
Slide 93: This slide includes the Important notes.
Slide 94: This is the Idea generation slide for encouraging new ideas.
Slide 95: This is Our team slide for stating team-related information.
Slide 96: This is Our goal slide. State your organizational goals here.
Slide 97: This is the Thank You slide for acknowledgement.