KDnuggets

OCTOBER 10, 2023

So you want to understand your customer base better? Learn how to leverage RFM analysis and K-Means clustering in Python to perform customer segmentation.

Machine Learning 100

Machine Learning 100

Smart Data Collective

NOVEMBER 18, 2020

This new approach has proven to be much more effective, so it is a skill set that people must master to become data scientists. Complex mathematical algorithms are used to segment data and estimate the likelihood of subsequent events. What is Data Science? Where to Use Data Science? Where to Use Data Mining?

Data mining 143

Data mining Data Science Informatics Statistics 143

AWS Big Data

JANUARY 25, 2023

SikSin is a technology platform connecting customers with restaurant partners serving their multiple needs. Customers use the SikSin platform to search and discover restaurants, read and write reviews, and view photos. SikSin was looking to deliver improved customer experiences and increase customer engagement.

Visualization 76

Visualization Interactive Modeling Machine Learning 76

Sisense

SEPTEMBER 25, 2020

In this article, we will explain how to execute five statistical techniques using Python. As datasets become bigger and more complex, only AI, materialized views, and more sophisticated coding languages will be able to glean insights from them. Statistics and programming go hand in hand. Importance of statistical techniques.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98

O'Reilly on Data

MARCH 7, 2019

NLP systems in health care are hard—they require broad general and medical knowledge, must handle a large variety of inputs, and need to understand context. We’re in an exciting decade for natural language processing (NLP). In health care, several applications have already moved from science fiction to reality. are written in English.

Deep Learning 232

Deep Learning Testing Machine Learning Modeling 232

Domino Data Lab

JUNE 8, 2021

We derive a Linear SVM classifier, explain its advantages, and show what the fitting process looks like when solved via CVXOPT – a convex optimisation package for Python. In this blog post we take a deep dive into the internals of Support Vector Machines. 1999) and more. 1999) and more. Derivation of a Linear SVM.

Optimization 76

Optimization Machine Learning Measurement Data Science 76

Domino Data Lab

FEBRUARY 4, 2019

That body of work has much to offer the practice of leading data science teams. This edition of the conference will be held May 23–24, 2019 in NYC, where we’ll focus on data science as a team sport: leadership , practices , how teams work. Some vendors showcased their customer use cases. Introduction. Yeah, not so much.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66