- KAGGLE
- Right Whale Recognition | Kaggle
- Higgs Boson Machine Learning Challenge | Kaggle
- ALASKA2 Image Steganalysis | Kaggle
- Global Wheat Detection | Kaggle
- Passenger Screening Algorithm Challenge | Kaggle
- Data Science Bowl 2017 | Kaggle
- Airbus Ship Detection Challenge | Kaggle
- RSNA Pneumonia Detection Challenge | Kaggle
- TensorFlow Speech Recognition Challenge | Kaggle
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- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- EfficientNet Explained! - YouTube
- Kaggle Reading Group: EfficientNet | Kaggle - YouTube
- (20) Kaggle Reading Group: EfficientNet (Part 2) | Kaggle - YouTube
- (20) PR-169: EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks - YouTube
- (20) PR-217: EfficientDet: Scalable and Efficient Object Detection - YouTube
- EfficientNet: Theory + Code | Learn OpenCV
- How to do Transfer learning with Efficientnet | DLology
- [qubvel/efficientnet: Implementation of Efficie
- Week 1: Bandit optimalitiess
- Lecture 1: Epsilon-Greedy & the multiarmed bandit problem | StarAi Deep Reinforcement Learning Course
- The Multi-Armed Bandit Problem and Its Solutions
- (22) The Multi-Armed Bandit Problem and Thompson Sampling - YouTube
- Solving the Multi-Armed Bandit Problem from Scratch in Python
- The Credit Assignment Problem - LessWrong 2.0
- Multi-armed bandit - Wikipedia
-
Numpy
-
Pandas
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def crc(msg, div, code="000"): | |
msg += code | |
msg = list(msg) | |
div = list(div) | |
for i in range(len(msg) - len(code)): | |
if msg[i] == "1": | |
for j in range(len(div)): | |
msg[i+j] = f"{int(msg[i+j]) ^ int(div[j])}" |
- Linear Regression
- A BEGINNERS GUIDE TO REGRESSION TECHNIQUES
- Linear Regression Algorithm | Linear Regression in Python | Machine Learning Algorithm | Edureka - YouTube
- In Depth: Linear Regression | Python Data Science Handbook
- Linear Models - YouTube
- Statistics 101: Linear Regression, The Very Basics - YouTube
- How to Implement Linear Regression From Scratch in Python
- [Linear Regression using Python - Towards Data Science](https://towardsdatascience.com/linear-regression-us
ToDo:
1. Add courses for Reinforcement Learning
2. Artificial Intelligence Search Methods for Problem Solving
- Machine learning
- Udacity machine learning course