datapine

SEPTEMBER 27, 2022

One of the best beginners’ books on SQL for the analytical mindset, this masterful creation demonstrates how to leverage the two most vital tools for data query and analysis – SQL and Excel – to perform comprehensive data analysis without the need for a sophisticated and expensive data mining tool or application.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

O'Reilly on Data

JANUARY 22, 2019

In this blog post, we explore three types of errors inherent in all financial models, with a simple example of a model in TensorFlow Probability (TFP). They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. Finance is not physics. Not even close.

Modeling 136

Modeling Finance Uncertainty Data mining 136

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

datapine

MARCH 31, 2022

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

Recently, we presented some basic insights from our effort to measure and predict long-term effects at KDD 2015 [1]. In this blog post, we summarize that paper and refer you to it for details. Henne, Dan Sommerfield, Overall Evaluation Criterion , Proceedings 13th Conference on Knowledge Discovery and Data Mining, 2007.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

Occam's Razor

SEPTEMBER 4, 2012

Two companies, Skullcandy and TripIt, delivering on four amazing outcomes that inspire us to set the bar significantly higher for our mobile efforts in 2015 (or sooner!). I'm sure you are impressed at the data mining and intent targeting efforts of TripIt. That is what all marketing in 2015 will look like.

Marketing 144

Marketing Data mining Measurement Strategy 144

Rita Sallam

JULY 22, 2016

By contrast, traditional BI platforms are designed to support modular development of IT-produced analytic content, specialized tools and skills, and significant upfront data modeling, coupled with a predefined metadata layer, is required to access their analytic capabilities. Some Additional Questions and Answers. Enjoy your summer!!

Analytics 40

Analytics Business Intelligence Metadata Statistics 40