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Machine & Deep Learning Compendium
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The Machine & Deep Learning Compendium
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Probability
Feature Types
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Multi Label Classification
Distribution
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Interpretable & Explainable AI (XAI)
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Algorithms 101
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Ensembles
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Genetic Algorithms & Genetic Programming
Learning Classifier Systems
Recommender Systems
Timeseries
Fourier Transform
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Propensity Score Matching
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MLOps (www.OpsCompendium.com)
DataOps (www.OpsCompendium.com)
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Recommender Systems
1.
Beginner guide
vidhya
2.
Real python on CF
3.
Intro to, using item-item or user-item
, validating using imdb data, git
4.
Tfidf cosine similarity
,
countvec cosine
5.
Various implementations of CF
, a serious review of algorithms
6.
Collaborative filtering, SVD
7.
Part1,
Spotlight, item2vec, Neural nets for Recommender systems
8.
A general tutorial, has a nice intro
9.
Medium on Movies
1.
Part 1
matrix factorization in movies, users vs movies.
2.
Part 2 using collaborative filtering
using open ai
3.
Part 3 using col-filtering with neural nets
10.
Medium series on collaborative filtering and embeddings
Part 1
,
part 2
,
git
11.
Movie recommender systems
on kaggle
1.
On git
12.
Matrix factorization
13.
Collaborative filtering with binary countvec data, item-item, didnt work well on another domain
14.
Netflix competition, matrix factorization over classical algorithms, a survey paper
15.
Movie similarity based on genre
16.
Similar entities, matrix multiplication
high sparsity
17.
Euclidean distance with high sparse data
18.
Excel & fastai,
git
19.
CF for movie recommendation
20.
Comparison item vs user cf
TOOLS
1.
Surprise
,
docs
,
2.
Grover prince
,
related article
Recsys
git
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Last modified
1yr ago