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Boosting Model Accuracy: Techniques I Learned During My Machine Learning Thesis at Spotify (+Code Snippets)
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August 24, 2023
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Artificial Intelligence
Boosting PyTorch Inference on CPU: From Post-Training Quantization to Multithreading Problem Statement: Deep Learning Inference under Limited Time and Computation Constraints Approaching Deep Learning Inference on CPU Model Selection Post-Training Quantization Multithreading with ThreadPoolExecutor Summary Enjoyed This Story? References
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June 17, 2023
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Artificial Intelligence
Boosting PyTorch Inference on CPU: From Post-Training Quantization to Multithreading Problem Statement: Deep Learning Inference under Limited Time and Computation Constraints Approaching Deep Learning Inference on CPU Model Selection Post-Training Quantization Multithreading with ThreadPoolExecutor Summary Enjoyed This Story? References
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June 15, 2023
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Artificial Intelligence
Top 10 Machine Learning Algorithms Every Programmer Should Know #1. Linear Regression: The Oldie but Goodie #2. Logistic Regression: It’s Not All About Numbers #3. Decision Trees: Make Decisions Like a Machine #4. Naive Bayes: A Sincere Approach to Classifying #5. K-Nearest Neighbors (K-NN): Birds of the Same Feather #6. Support Vector Machines (SVM): Playing the Field #7. K-Means Clustering: Finding Your Tribe #8. Random Forest: More Trees, Please! #9. Neural Networks: Mimicking the Human Brain #10. Gradient Boosting & AdaBoost: Boosting Your Method to Success Wrapping Up Our Wild Ride Through the World of Machine Learning Level Up Coding
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June 6, 2023
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Artificial Intelligence
XGBoost: How Deep Learning Can Replace Gradient Boosting and Decision Trees — Part 1 XGBoost is extremely efficient, but… Constructing Decision Trees just isn’t a differentiable process Feature selection regularization Introducing a threshold Next steps
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June 1, 2023
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Artificial Intelligence
XGBoost: How Deep Learning Can Replace Gradient Boosting and Decision Trees — Part 1 XGBoost is very efficient, but… Constructing Decision Trees shouldn’t be a differentiable process Feature selection regularization Introducing a threshold Next steps
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May 31, 2023
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Artificial Intelligence
Exploring Gradient Boosting vs Linear Regression: Selecting the Best Prediction Tool and Developing a Streamlit App Creating your project’s environment Using VSCode for data evaluation Data Treatment Data Evaluation Machine Learning: Gradient Boosting vs Linear Regression Assessing Performance of Machine Learning Models Saving the Best Model Saving Predictions to DataBase and using Streamlit App Running your Streamlit App Final Words References:
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May 30, 2023
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Artificial Intelligence
Boosting Machine Learning Performance With Rust The Forward Pass Error Calculation The Backward Pass The Training Loop Final Helper Functions Results and Opinions
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May 24, 2023
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Artificial Intelligence
Time Series Forecasting Using Cyclic Boosting
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May 3, 2023
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