Dataconomy

MAY 30, 2017

R is ubiquitous in the machine learning community. Its ecosystem of more than 8,000 packages makes it the Swiss Army knife of modeling applications. Similarly, Apache Spark has rapidly become the big data platform of choice for data scientists. Its ability to perform calculations relatively quickly (due to features like in-memory. The post Machine Learning using Spark and R appeared first on Dataconomy.

Machine Learning 185

Machine Learning Machine Learning Data Scientist Big Data 185

Dataconomy

MAY 29, 2017

As the creation and consumption of data continues to grow among businesses of all sizes, so does the challenge of analyzing and turning that data into actionable insights. According to IBM, 90 percent of the data in the world today has been created in the last two years, at 2.5. The post Data Nirvana – How to develop a data-driven culture appeared first on Dataconomy.

Big Data 183

Big Data Big Data Analytics Analytics 183

Dataconomy

JUNE 2, 2017

Springboard is a leader in data science education. Thousands of data science learners complete their education in Springboard’s mentored data science courses and they’ve given Springboard courses an average rating of 4.9/5 on CourseReport and Switchup. Springboard is the proven option in data science training you’ve been looking for if.

Data Science 174

Data Science 174

Dataconomy

MAY 31, 2017

During my years as a Consultant Data Scientist I have received many requests from my clients to provide a frequency distribution reports for their specific business data needs. These reports have been very useful for the company management to make proper business decisions quickly. In this paper I would like. The post Frequency Distribution Analysis using Python Data Stack – Part 1 appeared first on Dataconomy.

Python 172

Python Data Scientist Data Science 172

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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?

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Dataconomy

JUNE 2, 2017

Rapidly changing data management technology in the 21st Century has created cost-saving, business-expanding opportunities. Big companies around the world have realized the potential of modern technology to take over complex operations with more ease than a skilled worker could. There are debates about how it is pushing some traditional methods. The post Big Data in Real Estate: Staying Ahead of the Curve appeared first on Dataconomy.

Big Data 170

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