# Tag: Genetic (10)

**Genetic Algorithm Implementation in Python**- Jul 24, 2018.

This tutorial will implement the genetic algorithm optimization technique in Python based on a simple example in which we are trying to maximize the output of an equation.**Genetic Algorithm Key Terms, Explained**- Apr 10, 2018.

This article presents simple definitions for 12 genetic algorithm key terms, in order to help better introduce the concepts to newcomers.**KDnuggets™ News 18:n12, Mar 21: Will GDPR Make Machine Learning Illegal?; 5 Things You Need to Know about Big Data**- Mar 21, 2018.

Also: A Beginner's Guide to Data Engineering - Part II; Introduction to Optimization with Genetic Algorithm; Introduction to Markov Chains; Your free 70-page guide to a career in data science**Introduction to Optimization with Genetic Algorithm**- Mar 14, 2018.

This article gives a brief introduction about evolutionary algorithms (EAs) and describes genetic algorithm (GA) which is one of the simplest random-based EAs.**KDnuggets™ News 18:n04, Jan 24: TensorFlow vs XGBoost; Machine Learning Pipelines in Python; Semi-Supervised Machine Learning**- Jan 24, 2018.

Gradient Boosting in TensorFlow vs XGBoost; Managing Machine Learning Workflows with Scikit-learn Pipelines Part 2; Using Genetic Algorithm for Optimizing Recurrent Neural Networks; The Value of Semi-Supervised Machine Learning; Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI**Using Genetic Algorithm for Optimizing Recurrent Neural Networks**- Jan 22, 2018.

In this tutorial, we will see how to apply a Genetic Algorithm (GA) for finding an optimal window size and a number of units in Long Short-Term Memory (LSTM) based Recurrent Neural Network (RNN).**Design by Evolution: How to evolve your neural network with AutoML**- Jul 20, 2017.

The gist ( tl;dr): Time to evolve! I’m gonna give a basic example (in PyTorch) of using evolutionary algorithms to tune the hyper-parameters of a DNN.**Top /r/MachineLearning Posts, Feb 15-21: The Elephant in the Room of ML Research**- Feb 24, 2015.

Problems with deep learning papers, Coursera linear algebra courses, Reddit comment visualizations, deep learning lectures, and genetic algorithm introductions make up the top posts this week on /r/MachineLearning.**Top /r/MachineLearning posts, Feb 1-7: Music recognition, Text Understanding from scratch**- Feb 9, 2015.

Shazam music recognition techniques, deep learning for text understanding, neuroscience history, Neural Turing Machines using Torch, and genetic algorithms are the top topics on Reddit last week.**DuPont Pioneer: Data Scientist**- Jan 15, 2014.

Develop and apply machine learning, data mining, or other computational approaches to extract insights from large agronomic data sets. Identify and demonstrate novel ways machine learning approaches can improve decisions.