On the Importance of Compressing Big Data
Why and How to Minimize your Data Storage Footprint- 28771Murphy ≡ DeepGuide
The dynamic lot-size model: A mixed-integer programming approach
The classical inventory management optimization problem solved in Python using Pyomo- 20395Murphy ≡ DeepGuide
Introduction to Optimization Constraints with SciPy
Explore bounds, linear and nonlinear constraints with practical Python examples- 21514Murphy ≡ DeepGuide
Optimization, Newton's Method, & Profit Maximization: Part 2- Constrained Optimization Th
Learn how to extend Newton's Method to and solve constrained optimization problems- 27690Murphy ≡ DeepGuide
Simulated Annealing with Restart Strategy
A variation on the classic Simulated Annealing optimisation algorithm and its application to the Travelling Salesman Problem- 26598Murphy ≡ DeepGuide
How To Solve Travelling Salesman Problem With Simulated Annealing
Getting the optimal solution to the Travelling Salesman Problem using the Simulated Annealing optimisation algorithm- 29313Murphy ≡ DeepGuide
Kaiming He Initialization in Neural Networks – Math Proof
Deriving optimal initial variance of weight matrices in neural network layers with ReLU activation function- 29897Murphy ≡ DeepGuide
Implementing the Steepest Descent Algorithm in Python from Scratch
Table of contents- 24543Murphy ≡ DeepGuide
Mixed Integer Linear Programming: Formal definition and solution space
Theoretical foundations on how MILP is defined and how its solution space looks like visually- 26273Murphy ≡ DeepGuide
Optimization: Capacitated Facility Location Problem in Python
Find the optimal number and location of warehouses to reduce costs and meet demand- 24845Murphy ≡ DeepGuide
Optimization, Newton's Method, & Profit Maximization: Part 3 – Applied Profit Maxim
Learn how to apply optimization & econometric techniques to solve an applied profit maximization problem- 22496Murphy ≡ DeepGuide
Breaking Linearity With ReLU
Explaining how and why the ReLU activation function is non-linear- 21176Murphy ≡ DeepGuide
The Job-Shop Scheduling Problem: Mixed-Integer Programming Models
Mathematical modeling and Python implementation of the classical sequencing problem using Pyomo- 25716Murphy ≡ DeepGuide
Optimizing Vacation Cabin Rental Revenues
A brief look at the science of revenue management with a Python demonstration- 29511Murphy ≡ DeepGuide
Uplift Modeling with Cost Optimization
How to adjust CATE to consider costs associated with your treatments- 25352Murphy ≡ DeepGuide
What is Tabu Search?
An intuitive explanation of the Tabu Search optimization algorithm and how to apply it to the traveling salesman problem- 27543Murphy ≡ DeepGuide
Hill Climbing Optimization Algorithm: A Simple Beginner's Guide
The intuition behind one of the most popular optimization algorithms- 26524Murphy ≡ DeepGuide
Linear programming: Theory and applications
Linear optimization main concepts and implementation in Python- 28282Murphy ≡ DeepGuide
How to Enhance Your Pandas Code – Don't Wait No More
6 simple changes to improve your pandas' code performance- 28290Murphy ≡ DeepGuide
What is Combinatorial Optimization?
Demonstrating the true power of combinatorial explosions and how they affect simple problems.- 27842Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag