Improve Python code for data science with simple, readable and performant enumerations.- 20378Murphy2025-03-22
An interpretable classification and regression model- 29000Murphy2025-03-22
From casinos to AI: unveiling the power of Monte Carlo methods in complex environments- 25534Murphy2025-03-22
A new way to write shorter, clearer, and more readable Python decorators that also act as a context manager- 20478Murphy2025-03-22
Effective statistical methods and tools for outlier detection in time-series analysis- 28675Murphy2025-03-22
And the techniques you need to combat them- 29916Murphy2025-03-22
Dropping strict cutoffs, no matter how stringent, and advocating for presentation of raw data in scientific articles rather than pushing...- 28909Murphy2025-03-22
Augmenting observational data with physical simulations improves the performance of AI models in scientific research.- 25122Murphy2025-03-22
Teaching a shuttle to land on the moon using Deep Q-Networks in Python. A mathematical deep dive into Reinforcement Learning.- 29882Murphy2025-03-22
Use linear programming to increase the production capacity of value-added services in a luxury product warehouse.- 20991Murphy2025-03-22
Testing the models with LlamaCpp and ONNX- 24547Murphy2025-03-22
Learn about profiling by inspecting concurrent and parallel Numba CUDA code in Nsight Systems- 20600Murphy2025-03-22
How quantum states and PCA components connect- 30035Murphy2025-03-22
What CTEs are and how you use them- 30002Murphy2025-03-22
Causal AI, exploring the integration of causal reasoning into machine learning- 25136Murphy2025-03-22
In A/B testing, you often have to balance statistical power and how long the test takes. Learn how Allocation, Effect Size, CUPED & Binarization can help you.- 26113Murphy2025-03-22
What is self-attentive embedding, and how do we use it in recommendation systems?- 24340Murphy2025-03-22
Part 3: Modelling Ops queues- 28284Murphy2025-03-22
Implement the K-Means algorithm from scratch with this step-by-step Python tutorial- 22887Murphy2025-03-22
Using Meta's GeoLift Library- 21778Murphy2025-03-22
Combining Network Science, Data Visualization, and Wikipedia to uncover hidden connections between all the Nobel laureates.
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