After three courses, you will be able to:

• Lead ML: Manage or participate in the end-to-end implementation of machine learning
• Apply ML: Identify the opportunities where machine learning can improve marketing, sales, financial credit scoring, insurance, fraud detection, and much more
• Greenlight ML: Forecast the effectiveness of and scope the requirements for a…

This is our list of featured articles and resources posted since Monday:

Announcement

• New eBook: How prescriptive analytics provides a roadmap to your revenue target

Resources

• Stumped by Bayes' Theorem? Try This Simple Workaround…

Originally posted by Michael Grogan. 

In this tutorial, we are going to use the K-Nearest Neighbors (KNN) algorithm to solve a classification problem. Firstly, what exactly do we mean by classification?

Classification across a variable means that results are categorised into a particular group. e.g. classifying a fruit as either an apple or an orange.

The KNN algorithm is one the most basic, yet most commonly used…

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.  

Announcements…

Here is our selection of featured articles and resources posted since Monday:

Announcements

• 30-Day Trial: Pentaho Data Integration Business Analytics
• Visit the SAS Data Science Experience Page

Resources

• MicroMasters:…

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.  

Featured Resources and Technical…

Here is our selection of featured articles and technical resources posted since Monday:

Technical Resources

• Model Fitting Tests You've Probably Never Heard Of
• Which ML / deep learning algorithm to use by problem…

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.  

Here is our selection of featured technical resources and articles posted since Monday:

Announcements

• How MLOps Can Help You Realize Your AI Dreams
• Ray Summit: Scalable ML & Python—serverless done right

Technical Contributions…

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this…

Given n observations x1, ..., xn, the generalized mean (also called power mean) is defined as 

The case p = 1 corresponds to the traditional arithmetic mean, while p = 0 yields the geometric mean, and p = -1…

Originally posted here.

Here is our selection of featured articles and technical resources posted since Monday:

Resources

• What is s driving the innovation in NLP and GPT-3?
• Most Popular Text-to-Image Synthesis methods with…

It took me about 30 minutes to notice a spectacular correlation between two core metrics related to the virus, allowing me to make better predictions about the evolution of this pandemic in USA, and to provide possibly the best advice on how to reduce your risk of exposure, or at least how to buy some time in the war against this virus. 

First, many metrics are useless, you need to pick up the most reliable ones. For instance, the number of people who officially tested positive is…

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this…

Here is our selection of featured technical resources and articles posted since Monday:

Announcements

• It’s supposed to be one of the most exciting jobs. But data scientists spend a lot of time doing things they don’t really enjoy.
• Data Mastering @ Scale with Michael Stonebraker

Resources…

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.  

The covariance matrix has many interesting properties, and it can be found in mixture models, component analysis, Kalman filters, and more. Developing an intuition for how the covariance matrix operates is useful in understanding its practical implications. This article will focus on a few important properties, associated proofs, and then some interesting practical applications, i.e., extracting transformed polygons from a Gaussian mixture's covariance matrix.

I have often found that…

Here is our selection of featured articles and resources posted since Monday.

Resources

• For what reason Probability Important to Machine Learning?
• Artificial Intelligence in Healthcare…

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.  

Announcements…