Dataconomy

AUGUST 7, 2017

Big data has rapidly made its way into a wide range of industries. Healthcare is ripe for big data initiatives—as one of the largest and most complex industries in the United States, there is an incredible number of potential applications for predictive analytics. While some healthcare organizations have begun to. The post 5 Ways The Healthcare Industry Could Use Big Data—and Why It’s Not appeared first on Dataconomy.

Big Data 191

Big Data Big Data Predictive Analytics Analytics 191

Depends on the Definition

AUGUST 11, 2017

In this article, we will apply the concept of multi-label multi-class classification with neural networks from the last post, to classify movie posters by genre. First we import the usual suspects in python. import numpy as np import pandas as pd import glob import scipy.

Python 40

Python 40

Dataconomy

AUGUST 11, 2017

In 2016, Google’s net worth was reported to be $336 billion, and this is largely due to the advanced learning algorithms the company employs. Google was the first company to realize the importance of incorporating machine learning in business processes. And the technology powerhouse doesn’t stop at any given point; it keeps. The post Why Businesses Should Embrace Machine Learning appeared first on Dataconomy.

Machine Learning 183

Machine Learning Machine Learning Algorithm Data Science 183

Dataconomy

AUGUST 11, 2017

Linear regression is a basic tool. It works on the assumption that there exists a linear relationship between the dependent and independent variable, also known as the explanatory variables and output. However, not all problems have such a linear relationship. In fact, many of the problems we see today are. The post Performing Nonlinear Least Square and Nonlinear Regressions in R appeared first on Dataconomy.

Data Science 163

Data Science 163

Advertisement

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

AI

Depends on the Definition

AUGUST 10, 2017

Often in machine learning tasks, you have multiple possible labels for one sample that are not mutually exclusive. This is called a multi-class, multi-label classification problem. Obvious suspects are image classification and text classification, where a document can have multiple topics.

Machine Learning 40

Machine Learning Machine Learning Python 40