Kambojtraders Glass Slab, Prism, Concave Lens and Mirror, Convex Lens Solid Prism

Kambojtraders Glass Slab, Prism, Concave Lens and Mirror, Convex Lens Solid Prism

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Kambojtraders Glass Slab, Prism, Concave Lens and Mirror, Convex Lens Solid Prism

4.2
196 Ratings & 14 Reviews
₹498
625
20% off
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KambojTraders
3.6
  • 7 Days Return Policy
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  • Description
    LensKit provides a framework for developing and evaluating collaborative filtering algorithms, which are a common approach in recommender systems. Collaborative filtering relies on user-item interactions or user-user/item-item similarities to make recommendations. LensKit allows developers and researchers to implement, test, and compare various collaborative filtering algorithms easily. LensKit includes a data model that represents user-item interactions. This model is crucial for training and evaluating recommendation algorithms.LensKit can be integrated into various applications, making it suitable for both research and practical implementations.
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    Specifications
    In The Box
    • 1
    General
    Brand
    • Kambojtraders
    Model Number
    • Glass Slab, Prism, Concave Lens and Mirror, Convex Lens
    Type
    • Solid Prism
    Is Fragile
    • Yes
    Dimensions
    Width
    • 10 cm
    Height
    • 5 cm
    Weight
    • 0.2 g
    Additional Features
    Other Features
    • Data Model: LensKit includes a data model that represents user-item interactions. This model is crucial for training and evaluating recommendation algorithms., Algorithms: The toolkit supports multiple collaborative filtering algorithms that can be used out of the box or extended to implement custom algorithms. Examples include user-based and item-based collaborative filtering, matrix factorization, and more., Evaluation Framework: LensKit provides tools for evaluating the performance of recommender systems. This includes metrics for measuring accuracy, coverage, and other aspects of recommendation quality., Scalability: Depending on the specific version and updates, LensKit may offer features for handling large datasets and scaling the collaborative filtering algorithms.
    Key Features
    • Data Model: LensKit includes a data model that represents user-item interactions. This model is crucial for training and evaluating recommendation algorithms., Algorithms: The toolkit supports multiple collaborative filtering algorithms that can be used out of the box or extended to implement custom algorithms. Examples include user-based and item-based collaborative filtering, matrix factorization, and more., Evaluation Framework: LensKit provides tools for evaluating the performance of recommender systems. This includes metrics for measuring accuracy, coverage, and other aspects of recommendation quality., Scalability: Depending on the specific version and updates, LensKit may offer features for handling large datasets and scaling the collaborative filtering algorithms.
    Frequently Bought Together
    Ratings & Reviews
    4.2
    196 Ratings &
    14 Reviews
    • 5
    • 4
    • 3
    • 2
    • 1
    • 113
    • 47
    • 16
    • 9
    • 11
    5

    Worth every penny

    Quality of glass is good and durable
    READ MORE

    SHUBHANSHU SAMAIYA

    Certified Buyer, Indore

    Jul, 2024

    9
    0
    Report Abuse
    5

    Awesome

    Nice purchase....Thank you flipkart
    READ MORE

    Vinn Vinn

    Certified Buyer, Indore

    Jul, 2024

    2
    0
    Report Abuse
    4

    Value-for-money

    Great
    READ MORE

    Ranjit Sah

    Certified Buyer, Dhing

    Aug, 2024

    0
    0
    Report Abuse
    5

    Classy product

    Excellent product
    READ MORE

    Ronit Kumar

    Certified Buyer, Gaya District

    6 months ago

    0
    0
    Report Abuse
    5

    Just wow!

    Good product
    READ MORE

    Manu priya Sharma

    Certified Buyer, Barkakana

    7 months ago

    1
    0
    Report Abuse
    5

    Terrific

    Good quality 💯
    READ MORE

    Sonu Kumar

    Certified Buyer, Rohtas District

    Nov, 2024

    0
    0
    Report Abuse
    5

    Worth every penny

    Nice product for experiment
    READ MORE

    Flipkart Customer

    Certified Buyer, Jamshedpur

    Nov, 2024

    1
    0
    Report Abuse
    5

    Terrific

    Very good product best quality
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    manoj kumar Garg

    Certified Buyer, Mandi Dabwali

    Nov, 2024

    0
    0
    Report Abuse
    5

    Super!

    Superb
    READ MORE

    Sonu Kumar

    Certified Buyer, Aurangabad

    Oct, 2024

    0
    0
    Report Abuse
    5

    Fabulous!

    All the products written are real and in good condition
    Didn't expect to get such a set in low price
    All genuine
    READ MORE

    Asit Maharathi

    Certified Buyer, Baudh District

    Aug, 2024

    1
    0
    Report Abuse
    +
    All 14 reviews
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