How businesses can build fairness into their machine learning models

Enterprise-wide deployments of AI are constrained by the requirements of scaling any new system or technology: transparency, security, and the application'

Everyone is saying membership is the future of journalism. Here’s how you can put it into practice

Everyone is saying membership is the future of journalism. Here’s how you can put it into practiceEight years ago I began what at first glance is a rather

How to Build an Ensemble Of Machine Learning Algorithms in R (ready to use boosting, bagging and stacking)

Tweet Share Share Google Plus Ensembles can give you a boost in accuracy on your dataset. In thi

How to Build an Intuition for Machine Learning Algorithms

Tweet Share Share Google Plus Machine learning algorithms are complex. To get good at applying a

Learn How to Code and Deploy Machine Learning Models on Spark Structured Streaming

This post is a token of appreciation for the amazing open source community of Data Science, to which I owe a lot of what I have learned. For last few month

How Facebook Uses Bayesian Optimization to Conduct Better Experiments in Machine Learning Models

How Facebook Uses Bayesian Optimization to Conduct Better Experiments in Machine Learning ModelsHyperparameter optimization is a key aspect of the lifecycl

How to install and use the Datumbox Machine Learning Framework

In this guide we are going to discu

10 Examples of How to Use Statistical Methods in a Machine Learning Project

Tweet Share Share Google Plus Statistics and machine learning are two very closely related field

Why Data Normalization is necessary for Machine Learning models

Why Data Normalization is necessary for Machine Learning modelsNormalization is a technique often applied as part of data preparation for machine learning.

Create Custom Machine Learning Models With Google Cloud ML Wimoxez

Google Cloud Machine Learning (ML) motors can be really just controlled services that make it possible for programmers and info boffins to successfully con

Understanding Data and Machine Learning Models with Visualizations (Part 1)

Examining Feature-PC CorrelationOn the non-interactive side, the tool also generates heatmaps with additional information about the principal components. T

Why it's hard to design fair machine learning models

In this episode of the Data Show, I spoke with Sharad Goel, assistant professor at Stanford, and his student Sam Corbett-Davies. They recently wrote a surv

Training Machine Learning Models in Pharma and Biotech Manufacturing with Bigfinite Amazon Web Services

Creating and training machine learning models has become less time consuming and more cost efficient thanks to technology advancements like open source sof

Training Machine Learning Models in Pharma and Biotech Manufacturing with Bigfinite

Tuning Machine Learning Models Using the Caret R Package

Tweet Share Share Google Plus Machine learning algorithms are parameterized so that they can be

Save and Load Machine Learning Models in Python with scikit

Hello Jason, I am new to machine learning. I am your big fan and read a lot of your blog and books. Thank you very much for teaching us machine le

Machine Learning Models & Algorithms

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine le

How machine learning can improve pricing performance

New analytical capabilities have the potential to transform the way banks and other payment providers price products and services. Obtaining fair compensat

How Microsoft Uses Machine Learning to Help You Build Machine Learning Pipelines

Last week at its Ignite Conference, Microsoft unveiled the preview version of Automated Machine Learning(ML), a component of Azure ML that allows non-data

How Machine Learning Can Help Our Health

Machine learning has become a big deal in a variety of industries, healthcare being a prime example. There are a variety of applications for machine learni