Imad Dabbura
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(22)
C
(1)
Clustering
(1)
Data Science
(5)
Deep Learning
(11)
Git
(1)
Machine Learning
(9)
NLP
(7)
RAG
(1)
Software Development
(3)
Unsupervised Learning
(1)
Virtual Environments
(2)
Website Optimization
(1)
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Title
Date - Oldest
Date - Newest
Author
Coding GPT2/3 (124M) From Scratch
2 min
NLP
Deep Learning
Imad Dabbura
Apr 10, 2024
Modified
Invalid Date
Byte-level Byte-Pair Encoding (BPE)
1 min
NLP
Deep Learning
Imad Dabbura
Apr 10, 2024
Modified
Invalid Date
Ideas to Improve RAG Applications
4 min
NLP
RAG
Imad Dabbura
Mar 5, 2024
Modified
Invalid Date
Git Confident
38 min
Git
Imad Dabbura
Dec 22, 2023
Modified
Dec 22, 2023
Notes for Deep Learning Systems
15 min
Deep Learning
Imad Dabbura
Dec 20, 2023
Modified
Dec 20, 2023
Transformer Architecture Explained
13 min
NLP
Deep Learning
Imad Dabbura
Feb 14, 2023
Modified
Feb 14, 2023
Tokenization Strategies
7 min
NLP
Imad Dabbura
Jan 14, 2023
Modified
Mar 7, 2024
LSTM Implementation
6 min
NLP
Deep Learning
Imad Dabbura
Dec 10, 2022
Modified
Dec 10, 2022
C Program Startup
Does C program really start at main
6 min
Software Development
C
Imad Dabbura
Oct 21, 2022
Modified
Oct 21, 2022
Anomaly Detection
6 min
Machine Learning
Data Science
Imad Dabbura
Sep 11, 2019
Modified
Sep 11, 2019
Conda Essentials
Enough background about Conda to be productive!
5 min
Software Development
Virtual Environments
Imad Dabbura
Feb 18, 2019
Modified
Feb 18, 2019
Gradient Descent Algorithm and Its Variants
Deep dive into gradient descent algorithm: Batch vs. Mini-batch vs. Stochastic.
10 min
Software Development
Virtual Environments
Imad Dabbura
Feb 18, 2019
Modified
Feb 18, 2019
K-means Clustering: Algorithm, Applications, Evaluation Methods, and Drawbacks
Deep dive into K-means algorithm to find subgroups within data.
15 min
Machine Learning
Data Science
Unsupervised Learning
Clustering
Imad Dabbura
Sep 11, 2018
Modified
Sep 11, 2018
Coding Neural Network Part 5 - Dropout
What is Dropout, its use, and how to implement it?
4 min
Machine Learning
Deep Learning
Imad Dabbura
May 20, 2018
Modified
May 20, 2018
Coding Neural Network Part 4 - Regularization
What is regularization and how it helps NN generalizes better?
9 min
Machine Learning
Deep Learning
Imad Dabbura
May 8, 2018
Modified
May 8, 2018
Coding Neural Network Part 3 - Parameters’ Initialization
The role of parameter initialization in training and different ways to initialize parameters.
5 min
Machine Learning
Deep Learning
Imad Dabbura
Apr 20, 2018
Modified
Apr 20, 2018
Coding Neural Network Part 2 - Gradient Checking
How to check numerically if the implementation of backward propagation is correct?
4 min
Machine Learning
Deep Learning
Imad Dabbura
Apr 8, 2018
Modified
Apr 8, 2018
Coding Neural Network Part 1 - Forward & Backward Propagation
What it takes to go from input to output? And how to compute the gradients?
11 min
Machine Learning
Deep Learning
Imad Dabbura
Apr 1, 2018
Modified
Apr 1, 2018
Bandit Algorithms: epsilon-Greedy Algorithm
What is epsilon-Greedy Algorithm and how to use it in A/B testing?
9 min
Data Science
Website Optimization
Imad Dabbura
Mar 31, 2018
Modified
Mar 31, 2018
Predicting Loan Repayment
Trying different modeling techniques to deal with imbalanced data, missing values, and ensemble models.
17 min
Machine Learning
Data Science
Imad Dabbura
Mar 15, 2018
Modified
Mar 15, 2018
Character-Level Language Model
Predict the next character given the previous charecter and state.
13 min
NLP
Deep Learning
Imad Dabbura
Feb 22, 2018
Modified
Feb 22, 2018
Predicting Employee Turnover
Experimenting with different models on employee turnover data.
9 min
Machine Learning
Data Science
Imad Dabbura
Dec 11, 2017
Modified
Dec 11, 2017
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