OMSCS CS7641 (Machine Learning) Review and Tips
A review and tips for the OMSCS CS7641 Machine Learning course, covering assignments, exams, and workload.
A review and tips for the OMSCS CS7641 Machine Learning course, covering assignments, exams, and workload.
Explores methods to optimize the gradient descent algorithm in JavaScript, focusing on selecting the right learning rate for convergence.
Explores applying Evolution Strategies (ES) to reinforcement learning problems for finding stable and robust neural network policies.
A visual guide explaining Evolution Strategies (ES) as a gradient-free optimization alternative to reinforcement learning for training neural networks.
A technical article about optimizing Django Admin's date_hierarchy feature to eliminate performance bottlenecks caused by expensive database queries.
Explores how machine learning concepts like neural network training and optimization mirror daily life challenges and decision-making processes.
Explores performance improvements in LINQ methods for .NET Core, highlighting specific optimizations and benchmark results.
A developer explains why they moved away from WordPress and built their own static site generator for better performance and simplicity.
Analyzes performance inefficiencies in LINQ queries, including hidden allocations, and offers optimization techniques for C# developers.
A technical analysis of performance optimizations in the .NET Wire serialiser library, using BenchmarkDotNet to measure the impact of each change.
A consultant explains a method for prioritizing website speed improvements based on user impact and implementation difficulty.
A guide to profiling Python code using cProfile to identify performance bottlenecks and optimize execution time.
A technical case study on optimizing the loading performance of ruxit.com over three weeks without reducing page weight.
Explores the challenge of measuring long-term success, using the Perry Preschool Study and Head Start program as examples of initial vs. lasting outcomes.
A guide to optimizing a non-trivial algorithm (NUFFT) in Python using NumPy and Numba, comparing performance to a Fortran implementation.
A physics and math article using Lagrange multipliers to find the planet shape maximizing gravitational force at a point.
A technical guide on optimizing Drupal performance by carefully managing the hook_init() function to reduce server load and improve page speed.
A mathematical optimization of gift wrapping, using calculus and Lagrange multipliers to minimize paper waste for a cuboid present.
Tips for improving Drupal performance by optimizing database indexes and SQL queries, inspired by Doom's difficulty levels.
A technical analysis of supermarket layout optimization using the A* pathfinding algorithm to simulate shopper movement.