BizAcuity

OCTOBER 21, 2019

Over the decade’s Hospitality Industry wings expand to the new horizon due to the widespread usage of mobiles which allows customers to plan the vacation & visualize the ambiance at their fingertips. High-quality information is typically derived through the devising of patterns and trends through statistical pattern learning.

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

Octopai

MAY 2, 2022

Your dashboards, charts, visualizations… they’re all products. . The term “DataOps” was coined by Lenny Leibman in 2014, both on his own blog and in a well-publicized (but no longer extant) article on the IBM Big Data & Analytics Hub. Today, your business users have the same perspective on data analytics. Issue detected?

Manufacturing 98

Manufacturing Testing Experimentation Data Quality 98

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. They may contain parameters in the statistical sense, but often they simply contain strategically placed 0's and 1's indicating which bits of $alpha_t$ are relevant for a particular computation. by STEVEN L.

Forecasting 64

Forecasting Statistics Modeling Software 64

BizAcuity

OCTOBER 21, 2019

Over the decade’s Hospitality Industry wings expand to the new horizon due to the widespread usage of mobiles which allows customers to plan the vacation & visualize the ambiance at their fingertips. High-quality information is typically derived through the devising of patterns and trends through statistical pattern learning.

Analytics 40

Analytics Unstructured Data Data mining Structured Data 40

The Unofficial Google Data Science Blog

MARCH 13, 2017

Typically, causal inference in data science is framed in probabilistic terms, where there is statistical uncertainty in the outcomes as well as model uncertainty about the true causal mechanism connecting inputs and outputs. A note on visualization The most convenient way to inspect our feature importances (attributions) is to visualize them.

IT 68

IT Visualization Modeling Uncertainty 68

Jen Stirrup

JUNE 20, 2020

My analysis is based on the Financial statements put forward by PASS using some basic metrics; until you do that piece, you can’t move forward to compare and contrast it with other data since you have not done your ‘descriptive statistical analysis’ first to ensure that the comparison is valid. From 2014 onwards, I tried to do exactly that.

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

Howard Dresner

NOVEMBER 6, 2014

November 2, 2014 It happened so fast …. Several agreed that storytelling is “sharing” and thus part of collaboration to bring people “through a data-driven journey” or bring the “results of statistical analysis into others’ workflows.” With one foot in the trap, it looked like he had utterly failed in his mission. …

Business Intelligence 45

Business Intelligence ROI Interactive Statistics 45

Depict Data Studio

NOVEMBER 4, 2022

” I’d been a formal statistics tutor and Spanish tutor in college through a small invite-only program. By 2014, thanks to blogging and YouTubing, there was so much demand for my dataviz training that I left the corporate world and started my own company. Or, “I have a job interview coming up. The Middle Years.

Dashboards 75

Dashboards Testing Software Consulting 75

IBM Big Data Hub

AUGUST 7, 2023

AI algorithms have the potential to surpass traditional statistical approaches for analyzing comprehensive recruitment data and accurately forecasting enrollment rates. It can be integrated into real-time dashboards, visualizations, and reports that provide stakeholders with a comprehensive and up-to-date insight into site performance.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. Figure 4: Visualization of a central composite design. Journal of Statistical Software, 56(1):1-56, 2014. [5]

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Alation

SEPTEMBER 28, 2022

DataOps as a term was brought to media attention by Lenny Liebmannin 2014, then popularized by several other thought leaders. Alation provides robust DataOps solutions that help you foster collaboration, build trusted data solutions, automate testing & monitoring, and visualize data pipelines. Source: Google Trends.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Domino Data Lab

JULY 9, 2019

.” And this is one of his papers about “you’re doing it wrong” where he talked about the algorithmic culture that he was observing in the machine learning community versus the generative model community that was more traditional in statistics. For visualization we’re not building our own dashboards.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Domino Data Lab

AUGUST 22, 2019

Although it’s not perfect, [Note: These are statistical approximations, of course!] At the time—in 2014—the three were colleagues working. Human brains are not well suited to visualizing anything in greater than three dimensions. Visualizing data using t-SNE. Example 11.6 Pennington, J., GloVe: Global vectors. Example 11.9

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

JANUARY 6, 2019

Later in 2014, Matei Zaharia and I developed an Introduction to Apache Spark course, then I took over the reigns of the popular Spark Camp from Andy Konwinski who’d created it. Data visualization for prediction accuracy ( credit: R2D3 ). I can plot a line from high school “Algebra II” to the math needed for machine learning.

Data Science 56

Data Science Machine Learning Visualization Reporting 56